CN115440334A - Cross-institution medical report calling monitoring method and device and electronic equipment - Google Patents

Abstract

The application provides a cross-institution medical report calling monitoring method and device and electronic equipment, and relates to the technical field of medical informatization. The cross-institution medical report calling monitoring method comprises the following steps: after a plurality of report calling record tables of a preset medical institution are obtained, statistical analysis is carried out on information corresponding to preset monitoring indexes in the report calling record tables, and an analysis result of the preset monitoring indexes is generated. Therefore, the medical big data is called by acquiring the report calling record tables, the report calling record tables are subjected to statistical analysis by utilizing preset monitoring indexes, tracking monitoring and quantitative analysis of cross-mechanism medical report calling are realized, and the data asset value of the medical big data is improved. In addition, the analysis result of the preset monitoring index can also provide guidance for medical management of the hospital, and further the medical service efficiency is improved.

Description

Cross-institution medical report calling monitoring method and device and electronic equipment

Technical Field

The invention relates to the technical field of medical informatization, in particular to a cross-institution medical report calling monitoring method and device and electronic equipment.

Background

The inspection and inspection are an important content in medical services, the mutual recognition of inspection and inspection results among different medical institutions is realized based on medical big data, the utilization rate of medical resources is improved, the medical cost is reduced, the diagnosis and treatment efficiency is improved, the medical quality and safety are guaranteed, and the medical experience of people is further improved.

However, most of the research in the present stage focuses on how to implement the inspection data sharing to achieve mutual recognition of the results, and the mutual recognition and sharing of the inspection results is less efficient, qualitative, and efficient.

Disclosure of Invention

The present invention aims to provide a cross-institution medical report call monitoring method, device and electronic device, so as to analyze the cross-institution report call condition, in order to overcome the defects in the prior art.

In order to achieve the above purpose, the embodiments of the present application adopt the following technical solutions:

in a first aspect, an embodiment of the present application provides a cross-institution medical report call monitoring method, including:

acquiring a plurality of report calling record tables of a preset medical institution, wherein each report calling record table records: calling information of medical reports of other medical institutions in the process of one visit in the preset medical institutions;

and carrying out statistical analysis on information corresponding to preset monitoring indexes in the report calling record tables to generate an analysis result of the preset monitoring indexes.

Optionally, the performing statistical analysis on information corresponding to preset monitoring indexes in the report call record tables to generate an analysis result of the preset monitoring indexes includes:

according to a plurality of monitoring dimensions, performing statistical analysis on information corresponding to each monitoring index in each monitoring dimension in the plurality of report call record tables to generate an analysis result of each monitoring dimension, wherein the analysis result of each monitoring dimension comprises: analyzing results of each monitoring index in each monitoring dimension;

the plurality of monitoring dimensions includes: at least two dimensions of a service efficiency dimension, a service quality dimension, an economic benefits dimension, and an un-invoked report cause dimension.

Optionally, if the multiple monitoring dimensions include: a service efficiency dimension, the method further comprising:

and if the analysis result of a first preset monitoring index in the service efficiency dimension indicates that the service efficiency of the preset medical institution does not meet a first preset condition, outputting first early warning prompt information aiming at the preset medical institution.

Optionally, if the multiple monitoring dimensions include: a quality of service dimension, the method further comprising:

if the analysis result of a second preset monitoring index in the service quality dimension indicates that the service quality of the preset medical institution does not meet a second preset condition, outputting second early warning prompt information aiming at the preset medical institution;

or if the analysis result of a third preset monitoring index in the service quality dimension indicates that the service quality of the referred medical institution does not meet a third preset condition, outputting third early warning prompt information aiming at the referred medical institution; wherein the referred medical institution is a medical institution to which the medical report is referred by the pre-set medical institution.

Optionally, if the multiple monitoring dimensions include: the economic benefit dimension performing statistical analysis on information corresponding to each monitoring index in each monitoring dimension in the report calling record tables according to the monitoring dimensions to generate an analysis result of each monitoring dimension includes:

and according to the economic benefit dimension, carrying out statistical analysis on information corresponding to each monitoring index in the plurality of report calling record tables to generate an analysis result of the economic benefit dimension.

Optionally, the performing statistical analysis on the information corresponding to each monitoring index in each monitoring dimension in the report call record tables according to the multiple monitoring dimensions to generate an analysis result of each monitoring dimension includes:

according to at least one analysis dimension in each monitoring dimension, performing statistical analysis on information corresponding to each monitoring index in each analysis dimension in the report call record tables to generate an analysis result of each monitoring dimension, wherein the analysis result of each monitoring dimension comprises: statistical analysis results of the at least one analysis dimension, the statistical analysis results of each analysis dimension comprising: the statistical analysis result of each monitoring index in each analysis dimension;

the at least one analysis dimension includes: at least one of a medical institution dimension, a visit staff dimension, a time interval dimension, a medical report dimension, a diagnosis behavior dimension, and a medical expense dimension.

Optionally, before acquiring the plurality of report call record tables of the preset medical institution, the method further includes:

acquiring a call information table of the current visit of one visit person in the process of one visit of the preset medical institution and a historical report information table of the one visit person;

and integrating the call information table of the current visit and the historical report information table to generate a report call record table.

Optionally, before obtaining the call information table of the current visit of a visit person of the preset medical institution in a process of the current visit and the historical report information table of the visit person, the method further includes:

if the fact that the historical medical record of the one medical staff in the preset medical institution is called is monitored, matching target historical medical reports of other medical institutions related to the one medical staff;

and generating the call information table of the current visit according to the call condition of the visit receiving staff corresponding to the one visit staff in the preset medical institution to the target historical medical report.

Optionally, the performing statistical analysis on information corresponding to preset monitoring indexes in the report call record tables to generate an analysis result of the preset monitoring indexes includes:

screening out non-critical value reports from the report calling record tables; the non-critical value report is a report calling record table without a critical value;

and carrying out statistical analysis on the information corresponding to the preset monitoring index in the screened non-critical value report to generate an analysis result of the preset monitoring index.

In a second aspect, an embodiment of the present application further provides a cross-institution medical report call monitoring device, including: the acquisition module and the analysis module;

the acquisition module is used for acquiring a plurality of report calling record lists of a preset medical institution, and each report calling record list records: calling information of medical reports of other medical institutions in the process of one visit in the preset medical institutions;

and the analysis module is used for carrying out statistical analysis on information corresponding to preset monitoring indexes in the report calling record lists and generating an analysis result of the preset monitoring indexes.

In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor, when the electronic device runs, the processor and the storage medium communicate with each other through the bus, and the processor executes the program instructions to execute the steps of the cross-institution medical report calling monitoring method according to any one of the first aspect.

The beneficial effect of this application is: the embodiment of the application provides a cross-institution medical report calling monitoring method, which comprises the steps of obtaining a plurality of report calling record tables of a preset medical institution, and carrying out statistical analysis on information corresponding to preset monitoring indexes in the report calling record tables to generate an analysis result of the preset monitoring indexes. Therefore, the medical big data is called by acquiring the report calling record tables, the report calling record tables are subjected to statistical analysis by utilizing preset monitoring indexes, tracking monitoring and quantitative analysis of cross-mechanism medical report calling are realized, and the data asset value of the medical big data is improved. In addition, the analysis result of the preset monitoring index can also provide guidance for medical management of the hospital, and further medical service efficiency is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.

FIG. 1 is a flowchart of a cross-institution medical report call monitoring method according to an embodiment of the present application;

FIG. 2 is a flow chart of a cross-institution medical report call monitoring method according to yet another embodiment of the present application;

FIG. 3 is a flow chart of a cross-institution medical report call monitoring method according to another embodiment of the present application;

FIG. 4 is a flowchart of a cross-institution medical report call monitoring method according to yet another embodiment of the present application;

FIG. 5 is a schematic diagram of a cross-institution medical report call monitoring device according to an embodiment of the present application;

fig. 6 is a schematic view of an electronic device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention.

In this application, unless explicitly stated or limited otherwise, the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one feature. In the description of the present invention, "a plurality" means at least two, for example, two, three, unless specifically defined otherwise. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a component of' 8230; \8230;" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.

The inspection and examination are important contents in medical services, and the inspection and examination results among different medical institutions can be called and mutually acknowledged based on medical big data, so that the utilization rate of medical resources is improved, the medical expense is reduced, the diagnosis and treatment efficiency is improved, the medical quality and safety are guaranteed, and the medical experience of the masses is further improved. However, most of the research in the present stage focuses on how to implement inspection data sharing to achieve intermodulation mutual recognition of the result, and the analysis on the efficiency, quality, benefit, etc. of invoking mutual recognition sharing for the inspection result is less.

Aiming at the defect of calling and monitoring the medical report at present, the embodiment of the application provides a plurality of possible implementation modes so as to realize analysis of the cross-mechanism report calling condition. The following is explained by way of a number of examples in connection with the drawings. Fig. 1 is a flowchart of a cross-institution medical report call monitoring method according to an embodiment of the present application, where the method may be implemented by an electronic device running the cross-institution medical report call monitoring method, and the electronic device may be, for example, a terminal device or a server. As shown in fig. 1, the method includes:

step 101: acquiring a plurality of report calling record tables of a preset medical institution, wherein each report calling record table records: calling information of medical reports of other medical institutions in the process of one visit in a preset medical institution.

First, a plurality of report call log tables of a preset medical institution to be analyzed are acquired. It should be noted that, according to a specific analysis purpose, the obtained plurality of report call record tables may be a plurality of report call record tables within a preset time period, so as to monitor a medical report call condition of the preset medical institution within the preset time period; or the obtained plurality of report calling record tables may also be a plurality of report calling record tables of a preset medical staff of a preset medical institution, so that the medical report calling condition of the preset medical staff of the preset medical institution is monitored.

The above is merely an example, and in an actual implementation, according to a specific analysis requirement, there may be other acquisition range setting manners of multiple report invocation record tables.

It should be noted that, in each report call record table, call information of medical reports to other medical institutions during one visit in the preset medical institution is recorded. The report invocation record table may include, for example, one or more of the following: the medical institution name, the information of the medical staff, the historical medical report information, the information of the current medical treatment, the information of the current medical advice and the like are preset. The report calling record table is a record table of calling situations of a preset medical institution for medical reports of other medical institutions, as long as the report calling record table can accurately describe the calling situations, and the specific content included in the report calling record table is not limited in the present application.

In a specific implementation manner, the report call record table may be set according to the following table 1, for example, where table 1 is a report call record table provided in an embodiment of the present application:

table 1 a report call record table according to an embodiment of the present application

In one possible implementation manner, the report invocation record table may be generated by integrating a plurality of tables stored by preset medical institutions and/or stored in the medical big data center. The preset medical institution can store, for example, the current visit information of the visit staff, the basic information of the visit staff, the visit report of the current visit, the payment information and the like; the medical big data center is a data sharing platform of a plurality of medical institutions, and basic information of a patient, historical patient report, historical payment information and the like can be stored in the medical big data center, which is not limited in the application.

In a specific implementation manner, the report call record table may be based on a medical staff basic information table (as shown in table 2 below), a historical medical treatment report (for example, including a historical medical treatment report table (as shown in table 3 below), a historical examination report acquisition table (as shown in table 4 below)), a historical examination/examination order acquisition table (for example, as shown in table 5 below) stored by a preset medical institution in the medical big data center; and the basic information of the patient (as shown in table 1 below) and the current patient report (including, for example, the current patient record acquisition table (as shown in table 6 below) and the current examination order acquisition table (as shown in table 7 below)) stored in the preset medical institution are integrated. The following describes the above tables one by one:

table 2 shows a basic information table of the medical staff provided in an embodiment of the present application, as shown in table 2, the basic information table of the medical staff is mainly used for determining the identity and medical history of the medical staff, so as to correspondingly review the historical examination report of the medical staff. Aiming at the basic information of the medical staff stored in a preset medical institution, the medical staff information acquisition table can be the same as the table 1 so as to determine the identity and medical history of the medical staff at the time of the medical staff and match the historical medical data of the medical staff; the form of the basic information of the medical staff stored in the preset medical institution may also be different from that in table 1, that is, other acquisition forms are adopted, which is not limited in the present application.

Table 2 a basic information table for medical staff according to an embodiment of the present application

Table 3 shows a historical examination report collection table according to an embodiment of the present application, and as shown in table 3, the historical examination report collection table mainly includes historical examination reports of the medical staff.

Table 3 a history inspection report collection table according to an embodiment of the present application

Table 4 is a table for collecting historical inspection reports provided by an embodiment of the present application, and as shown in table 4, the table for collecting historical inspection reports mainly includes historical inspection reports of the medical staff.

Table 4 a history inspection report collection table according to an embodiment of the present application

Table 5 is a history examination/examination medical order collection table provided in an embodiment of the present application, and as shown in table 5, the history examination/examination medical order collection table is mainly used for (1) determining whether a newly-issued examination/examination medical order is consistent with a history examination/examination medical order, and avoiding repeated examination and examination; (2) The cost information of the cited historical examination tests is recorded to quantitatively count medical costs saved by avoiding duplicate examination tests.

Table 5 a history examination/examination medical advice collection form according to an embodiment of the present application

Table 6 shows that the present visit record collection table is provided in this embodiment of the present application, and as shown in table 6, the present visit record collection table is mainly used for recording the present visit information of the visit staff, and the collection table can be recorded after the present visit of the visit staff is completed, and is mainly used for tracking and monitoring the call and subsequent situations of the visit staff to the history report.

Table 6 the present visit record collection table provided in an embodiment of the present application

Table 7 is a table for collecting examination and examination medical advice orders provided in an embodiment of the present application, and as shown in table 7, the table for collecting examination and examination medical advice orders is mainly used to record information of the medical advice of the current visit and to monitor medical advice standing, medical advice cost, and subsequent situations.

Table 7 an acquisition table for the examination and examination of medical advice orders provided in an embodiment of the present application

The above is merely an example, and the report call record table may also be obtained based on other manners in actual implementation, which is not limited in this application.

Step 102: and carrying out statistical analysis on information corresponding to the preset monitoring indexes in the report calling record tables to generate an analysis result of the preset monitoring indexes.

And calling a record form for the obtained multiple reports of the preset medical institution, and performing statistical analysis according to the preset monitoring indexes to obtain a specific analysis result of the preset monitoring indexes. It should be noted that the preset monitoring index may be specific to the medical staff, specific to the preset medical institution, or specific to the cited medical report provider, which is not limited in this application.

In the following embodiments, the present application will specifically describe possible setting manners of the preset monitoring index, and specific manners of generating analysis results for different preset monitoring indexes.

In summary, the embodiment of the present application provides a cross-institution medical report calling monitoring method, which includes obtaining a plurality of report calling record tables of a preset medical institution, and performing statistical analysis on information corresponding to preset monitoring indexes in the plurality of report calling record tables to generate an analysis result of the preset monitoring indexes. Therefore, the medical big data are called by obtaining the report calling record tables, the report calling record tables are subjected to statistical analysis by utilizing preset monitoring indexes, tracking monitoring and quantitative analysis of cross-mechanism medical report calling are achieved, and the data asset value of the medical big data is improved. In addition, the analysis result of the preset monitoring index can also provide guidance for medical management of the hospital, and further the medical service efficiency is improved.

Optionally, on the basis of fig. 1, the present application further provides a possible implementation manner of the cross-institution medical report call monitoring method, where statistical analysis is performed on information corresponding to preset monitoring indexes in the plurality of report call record tables, and an analysis result of the preset monitoring indexes is generated, where the method includes:

according to a plurality of monitoring dimensions, performing statistical analysis on information corresponding to each monitoring index in each monitoring dimension in a plurality of report call record tables to generate an analysis result of each monitoring dimension, wherein the analysis result of each monitoring dimension comprises: analyzing results of each monitoring index in each monitoring dimension; the plurality of monitoring dimensions includes: at least two dimensions of a service efficiency dimension, a service quality dimension, an economic benefits dimension, and an invoiced report reason dimension.

In one possible implementation, the cross-institution medical report invocation by the application can include a plurality of monitoring dimensions, and at least one monitoring index exists in each monitoring dimension to indicate the monitoring condition of the monitoring dimension. The finally obtained analysis result for generating the preset monitoring index comprises the analysis result of each monitoring index in each monitoring dimension.

The multiple monitoring dimensions of the present application may include, for example: at least two dimensions of the dimensions of service efficiency dimension, service quality dimension, economic benefit dimension, un-invoked report reason dimension and the like; the service efficiency dimension is an evaluation dimension of the medical report calling condition of the reception staff in the preset medical institution, the service quality dimension is an evaluation dimension of the medical report calling condition, the hospitalizing condition and the medical report quality condition of the referred medical institution of the preset medical institution, the economic benefit dimension is a dimension of evaluating the expense condition of the reception staff from the economic balance perspective, and the unrecalled report reason dimension is an evaluation dimension of the specific reason of the non-called report of the reception staff in the preset medical institution. The foregoing is merely an example, and in actual implementation, a user may also add, delete, or modify a specific monitoring dimension according to actual needs, which is not limited in this application.

In a specific implementation manner, table 8 is a monitoring index table provided in an embodiment of the present application, and as shown in table 8, a plurality of monitoring dimensions include: the method comprises four dimensions of service efficiency dimension, service quality dimension, economic benefit dimension and un-invoked report reason dimension, wherein each dimension comprises a plurality of specific monitoring indexes:

table 8 a monitoring index table provided in an embodiment of the present application

The following describes specific monitoring indexes in table 8.

Monitoring index for service efficiency dimension:

the review rate = the number of times that the examiner reviews the historical examination report/the number of times that the examiner is prompted to review the examination report (it should be noted that, during the period that the examiner visits, the examiner can be prompted to review the historical examination report by outputting prompt information and the like). When the reception staff is prompted to refer to the historical examination report by outputting a prompt message at the time of the reception staff's visit, the reception staff is prompted to refer to the historical examination report (yes/no) by capturing the prompt behavior and the reception staff operation for the behavior, and after the completion of the visit (or after the case that the current examination order confirms that the reception staff has settled), whether the prompt behavior and the reception staff operation for the behavior are referred to the examination report in the current visit record in table 1 or not is recorded. The number of times that the reception staff consults the historical examination and inspection report = whether the examination and inspection report is consulted or not; and prompting the reception staff to consult the inspection report, wherein the frequency = whether the inspection report is consulted or not, and calculating the consultation rate. On the calculation result, further statistical analysis may be performed according to different dimension categories, and as shown in table 9, the table 9 is a statistical analysis dimension category table provided in an embodiment of the present application, and as shown in table 9, the reference rate may be analyzed under any one of the following dimension categories or under a combination of multiple dimension categories:

table 9 a statistical analysis dimension category table provided in an embodiment of the present application

The number of mutual recognitions = the number of times the examiner refers to the historical examination report. And when the doctor visits, capturing the behavior that the doctor calls the historical medical record examination report, and recording whether the examination/examination report is quoted in the current visit record table in the table 1 after the doctor finishes visiting (or after the current examination order confirms that the doctor settles). The number of times that the reception technician refers to the historical examination report = whether the number of times that the inspection/examination report is referred to is counted. On this calculation, further statistical analysis may be performed by different dimension categories (e.g., the dimension categories of table 9).

Mutual acceptance rate = number of times the receiver refers to the historical examination report/number of times the receiver is prompted to review the examination report. At the visit of the doctor receiver, the consultation prompt information of the historical examination report and the behavior of the doctor receiver for calling the historical examination report are captured, and after the completion of the visit (or after the condition that the doctor receiver confirms that the doctor has settled in the current examination advice note), whether to consult the examination/examination report (yes/no) and whether to call the examination/examination report (yes/no) in the current visit record recorded in the table 1 are recorded. The number of times that the clinical taker called the historical exam check report = the number of times in the exam/check report was called; and prompting the reception personnel to consult the inspection and inspection report for times = whether to consult the times of yes or no in the inspection and inspection report, and calculating the mutual recognition rate. On the calculation result, further statistical analysis may be performed according to different dimension categories (for example, the dimension categories in table 9), which is briefly illustrated below, and the way of performing further statistical analysis on other monitoring indexes using different dimension categories is similar to this, and is not described here again:

after the mutual recognition rate = the number of times the doctor refers to the historical examination report/the system prompts the doctor to consult the examination report, further statistical analysis can be performed according to different dimensional categories (table 9). For example, in terms of time intervals, categories such as report generation time, report mutual recognition reference time, test specimen collection time, etc. may be selected, such as specifying a mutual recognition rate of the statistical report generation time from 7/1/2022 to 7/31/2022. On the patient side, categories such as patient age, patient gender, etc. may be selected, such as a report mutual recognition rate for a male patient specified for a statistical 20-30 years of age. In the medical institution, the categories of medical institution, medical institution level, name/job number of the attending physician, historical examination/examination report issuing institution, etc. may be selected, such as specifying report mutual recognition rate of XX physicians at the statistical XX hospital. In terms of diagnosis and treatment behaviors, categories such as the type of visit (outpatient/emergency/hospitalization), the disease diagnosis number, the category of medical order (examination/examination), and the like can be selected, for example, the report mutual recognition rate of a certain disease diagnosis number is specified and counted. In the aspect of the examination behavior, categories such as the name of the examination method, the examination category, the examination item code, and the like may be selected, for example, a report mutual recognition rate for counting a certain examination method such as a CT examination is specified. In the aspect of test behavior, categories such as test method name, test item code, and the like can be selected, such as report mutual recognition rate for specifying statistics of a certain test item, such as blood routine test. In terms of medical fees, categories such as total order fees, warranty payments, personal account payments, personal self-payments, etc. may be selected, such as specifying a report mutual acceptance rate for statistical warranty payments >300 dollars. Meanwhile, statistics can be combined in various categories, such as selection of report generation time, patient age, clinic medical institution level, clinic type, examination item category and medical insurance payment cost, and the mutual recognition rate of examination reports with the generation time of the specified statistics report from 7/1/2022 to 7/31/2022, 20-30 years, hospital, clinic, blood routine and medical insurance payment cost >100 yuan is specified.

The number of repeat exam tests = the number of repeat exam test orders prescribed by the care taker. When the reception staff visits, whether the newly opened examination/examination order is consistent with the historical examination/examination order is automatically judged according to the rules, and whether the examination/examination items are repeated in the current visit record recorded in the table 1 is stored according to the judgment result (yes/no). In a possible implementation manner, when the medical examiner visits, if it is determined that the newly issued examination/check order is consistent with the historical examination/check order, the medical examiner may be prompted to review the examination/check report, when the medical examiner does not refer to the historical examination/check report and issues a new examination/check order, the action is captured, and after the completion of the visit (or after the situation that the medical examiner has settled is confirmed by the examination/check order of this time), the determination result is stored in the present visit record in table 1 to determine whether the present visit is a repeated examination/check item (yes/no). The number of times that the examiner repeatedly prescribes the examination and examination advice = the number of times that the examination and examination items are repeated, and the number of times of the examination and examination repetition is calculated. On this calculation, further statistical analysis may be performed by different dimension categories (e.g., the dimension categories of table 9).

Review rate = number of times the examiner has repeatedly prescribed examination orders/the system prompts the examiner to review the number of times the examination report is reviewed. When the reception staff visits, whether the newly opened examination/check medical order is consistent with the historical examination/check medical order or not is judged according to the rules, the reception staff is prompted to check the historical examination/check report, and the judgment result is stored in the current visit record in the table 1, whether the current visit record is a repeated examination/check item (yes/no) or whether the current visit record is checked the examination/check report (yes/no). In one possible implementation, when the reception staff visits, it is determined that the newly issued examination/check order is consistent with the historical examination/check order, the reception staff may be prompted to review the examination/check report, when the reception staff does not refer to the historical examination/check report and issues a new examination/check order, the action is grasped, and after the reception is completed (or after the current examination/check order confirms that the reception staff has settled), whether the current visit record in table 1 is a duplicate examination/check item (yes/no) and whether the examination/check report is reviewed (yes/no) are recorded. The number of times that the reception staff repeatedly prescribes the examination and examination advice = the number of times that the examination and examination items are repeated; the system prompts the reception personnel to consult the inspection and inspection report for times = whether to consult the number of times of check and inspection in the inspection and inspection report, and calculates the inspection rate of repeated inspection. On this calculation, further statistical analysis may be performed by different dimension categories (e.g., the dimension categories of table 9).

Further, the service efficiency value may also be set for the service efficiency dimension to comprehensively evaluate the above-described respective monitoring indexes, for example, the service efficiency value = (P1 x query rate + P2 x mutual recognition rate-P3 x duplicate inspection rate) x 100. The weight values P1, P2, and P3 may be set by the user according to actual needs, for example, P1=0.5, P2=1.5, and P3=1 are set.

Monitoring indexes for service quality dimension:

report quoted rate = number of times that the historical examination report issued by other medical institutions is quoted and mutually acknowledged by the pre-set medical institution attendants/number of times that the historical examination report issued by other medical institutions is pushed by the system. Data capture: the times that the historical examination report issued by other medical institutions is referred and mutually acknowledged by the medical institution consultant is the times that whether the examination/examination report is referred (yes/no) in the current visit record in the table 1 is yes, and then screening statistics is carried out according to the name of the reported medical institution and the organization code of the reported medical institution in the historical examination report information/historical examination report information in the table 1. The number of times that the historical examination report issued by other medical institutions is pushed by the system is the number of times whether the examination/examination report is checked and is not checked in the table 1, and then screening statistics is carried out according to the name of the medical institution issuing the report and the organization code of the medical institution issuing the report in the historical examination report information/historical examination report information in the table 1. On this calculation result, further statistical calculations may be performed by different dimension categories (e.g., the dimension categories of table 9).

The number of medical accident disputes (prescription report hospital) = the number of medical accident disputes occurring after the historical examination and inspection reports issued by other medical institutions are quoted. In the statistical table 1, in the subsequent monitoring records, the number of times that the medical accident dispute occurs is yes and the medical accident responsibility is reported to the hospital for opening the medical record is determined. On the calculation result, further statistical calculation can be performed according to different dimension categories (such as the dimension categories of table 9).

The number of medical accident disputes (referral report hospital) = the number of medical accident disputes occurring after a preset medical institution refers to historical examination and inspection reports mutually affirmed by other medical institutions. In the statistical table 1, in the subsequent monitoring records, whether the medical accident dispute occurs is yes, and the medical accident responsibility is judged as the number of times of referring to the reported hospital. On this calculation result, further statistical calculations may be performed by different dimension categories (e.g., the dimension categories of table 9).

The number of reported differences in diagnosis = the number of times the examiner refers to the examination report but the diagnosis results are different. When the doctor visits, the doctor refers to the historical examination report, but only refers to the image file, but does not refer to the diagnosis result, captures the behavior, and records the reference condition in the current visit record in the table 1. The number of times that the examinee quotes the examination report but the diagnosis result is different = the number of times that the quote condition is a partial quote in the current visit record in table 1, and the number of times that the diagnosis difference is reported is calculated. On this calculation result, further statistical calculations may be performed by different dimension categories (e.g., the dimension categories of table 9).

In addition, the quality of service dimension may also set a quality of service value to comprehensively evaluate the reported quality of service for the medical institution. For example, quality of service value = P1 x reported as being quoted x 100-P2 x reported as the number of diagnostic discrepancies-P3 x the number of medical accident disputes (prescribed reporting hospitals). Here, P1, P2, and P3 are weighted values, and may be set by the user according to actual needs, for example, P1=1.5, P2=0.5, P3=3, and the like.

For the monitoring index of the economic benefit dimension:

the costs incurred by the repeated inspection checks. The sum of the fee amounts in the examination order sheet of this time in table 1 of these items is calculated by screening whether the examination repeat/examination item in the record of this time in table 1 is a yes item. And statistics can be respectively carried out according to the payment sources, including the medical insurance payment amount, the personal account payment amount and the personal self-payment amount in the examination and examination medical order sheet in the table 1. On this calculation result, further statistical calculations may be performed by different dimension categories (e.g., the dimension categories of table 9).

The result is a mutual recognition of the saved costs. Whether the examination/examination report is cited in the current visit record in the table 1 is screened to be the item yes, and then the sum of the fee amount in the current examination order in the table 1 of the items is calculated. And statistics can be respectively carried out according to the payment sources, including the medical insurance payment amount, the personal account payment amount and the personal self-payment amount in the examination medical advice note in the table 1. On this calculation result, further statistical calculations may be performed by different dimension categories (e.g., the dimension categories of table 9).

For the monitoring index of the dimension of the reason of the un-invoked report, the specific process is described in the following embodiments, which is not described again here:

the reason for the report is not reviewed. When the reception staff receives a treatment, the push prompts the historical examination and inspection report but the reception staff does not consult, the reception staff is prompted to input the reason not consulted, and the reason which is recorded in the table 1 and is not consulted in the record is used for statistical analysis.

The reason for the report is not cited. When the reception staff receives a treatment, a history examination and inspection prompting report is pushed, and the reception staff is not referred to the history report after consulting, so that the reception staff is prompted to input a reason which is not referred to, and the reason which is not referred to in the record in the table 1 is recorded for statistical analysis.

The foregoing is merely an example, and in an actual implementation, there may be other monitoring dimensions or monitoring indexes, which is not limited in this application.

Relevant monitoring indexes are constructed through the service efficiency dimension, the service quality dimension, the economic benefit dimension, the un-invoked report reason dimension and other dimensions, quantitative evaluation can be conducted on the medical report invoking situation of a preset medical institution around the aspects of service efficiency, service quality, economic benefit and the like, the un-invoked report reasons are collected and sorted, and decision assistance is provided for the preset medical institution and a doctor, so that the industry supervision capacity is improved, the medical service quality is improved, and the medical linkage service benefit is promoted.

Optionally, on the basis of the foregoing embodiment, the present application further provides a possible implementation manner of a cross-institution medical report calling monitoring method, where a plurality of monitoring dimensions include: a service efficiency dimension, the method further comprising:

and if the analysis result of the first preset monitoring index in the service efficiency dimension indicates that the service efficiency of the preset medical institution does not meet the first preset condition, outputting first early warning prompt information aiming at the preset medical institution.

If the multiple monitoring dimensions include: through the above embodiments and the multiple monitoring indexes of the service efficiency dimension listed in table 1, if the analysis result of the first preset monitoring index indicates that the service efficiency of the preset medical institution does not satisfy the first preset condition, that is, when at least one monitoring index of the preset medical institution is abnormal, the first early warning prompt information for the preset medical institution is output to prompt the preset medical institution of the abnormal condition.

The first preset condition that the monitoring value does not meet the first preset monitoring index is not within a preset warning value range or does not meet a qualified value corresponding to the first preset monitoring index, and the like.

In a specific implementation, for example, the first preset condition is that the value is greater than the warning value: the method comprises the steps of presetting monitoring indexes and warning values of the indexes, periodically capturing relevant information of a stored report calling record table, calculating and judging whether a calculation result exceeds the warning values according to a formula corresponding to the monitoring indexes, and if the calculation result exceeds the warning values, outputting first warning information to prompt a user to assist decision making and the like. For example, a review rate of 70% is set, and when the review rate of a certain examinee is less than 70%, the examinee, a medical institution manager, and a regional health manager are warned.

The foregoing is merely an example, and in an actual implementation, other implementation manners may also be available, which are not limited in this application.

Optionally, on the basis of the foregoing embodiment, the present application further provides a possible implementation manner of the cross-institution medical report call monitoring method, where the multiple monitoring dimensions include: quality of service dimension, fig. 2 is a flowchart of a cross-institution medical report call monitoring method according to another embodiment of the present application; as shown in fig. 2, the method further comprises:

step 201: and if the analysis result of the second preset monitoring index in the service quality dimension indicates that the service quality of the preset medical institution does not meet the second preset condition, outputting second early warning prompt information aiming at the preset medical institution.

Step 202: or if the analysis result of a third preset monitoring index in the service quality dimension indicates that the service quality of the referred medical institution does not meet a third preset condition, outputting third early warning prompt information aiming at the referred medical institution; wherein the referred medical institution is the medical institution to which the medical report is referred by the preset medical institution.

If the multiple monitoring dimensions include: in the service quality dimension, through the multiple monitoring indexes of the service quality dimension listed in the above embodiment and table 8, if the analysis result of the second preset monitoring index indicates that the service quality of the preset medical institution does not satisfy the second preset condition, that is, when at least one monitoring index of the preset medical institution is abnormal, second early warning prompt information for the preset medical institution is output to prompt the abnormal condition of the preset medical institution.

The second preset condition that the monitoring value of the second preset monitoring index is not within the preset warning value range or the qualified value corresponding to the second preset monitoring index is not reached can be met, and the like.

In a specific implementation, for example, the second preset condition is that the value is less than or equal to the warning value: the method comprises the steps of presetting monitoring indexes and warning values of the indexes, periodically capturing relevant information of a stored report calling record table, calculating and judging whether a calculation result exceeds the warning values according to a formula corresponding to the monitoring indexes, and if the calculation result exceeds the warning values, outputting second warning information to prompt a user to assist decision making and the like. For example, the medical accident dispute number (referral report hospital) is set to 2, and when the medical accident dispute number (referral report hospital) caused by referring to the medical report of a certain medical institution is greater than 2, second warning information is output to prompt the user to assist decision making and the like so as to warn and remind the medical institution administrator and the regional medical health administrator.

In addition, if the analysis result of the third preset monitoring index indicates that the service quality of the preset medical institution does not meet the third preset condition, namely at least one monitoring index of the service quality of the referred medical institution is abnormal, third early warning prompt information aiming at the referred medical institution is output to prompt the abnormal condition of the medical institution.

The third preset condition that the monitoring value of the third preset monitoring index is not within the preset warning value range or the qualified value corresponding to the third preset monitoring index is not reached can be met, and the like.

In a specific implementation manner, for example, the third preset condition is that the preset warning value is less than or equal to: the method comprises the steps of presetting monitoring indexes and warning values of the indexes, periodically capturing relevant information of a stored report calling record table, calculating and judging whether a calculation result is larger than the warning value according to a formula corresponding to the monitoring indexes, and if the calculation result is larger than the warning value, outputting third warning information to prompt a user to assist decision making and the like. For example, if the number of medical accident disputes (report-by-opening hospital) is set to 2 and the number of medical accident disputes (report-by-opening hospital) caused by referring to a medical report of some other medical institution is greater than 2, the medical institution and/or the administrator of the other medical institution and the regional health administrator are alerted.

The foregoing is merely an example, and in actual implementation, other implementation manners may be available, which are not limited in this application.

Optionally, on the basis of the foregoing embodiment, the present application further provides a possible implementation manner of the cross-institution medical report call monitoring method, where the multiple monitoring dimensions include: the economic benefit dimension carries out statistical analysis on information corresponding to each monitoring index in each monitoring dimension in a plurality of report call record tables according to a plurality of monitoring dimensions, and generates an analysis result of each monitoring dimension, and the method comprises the following steps:

and carrying out statistical analysis on information corresponding to each monitoring index of the economic benefit dimensionality in the plurality of report calling record tables to generate an analysis result of the economic benefit dimensionality.

If the multiple monitoring dimensions include: and the economic benefit dimension performs statistical analysis on information corresponding to each monitoring index in the report call record tables through the plurality of monitoring indexes of the economic benefit dimension listed in the embodiment and table 8, so as to generate an analysis result of the economic benefit dimension.

Optionally, on the basis of the foregoing embodiment, the present application further provides a possible implementation manner of a cross-institution medical report call monitoring method, where each detection dimension includes at least one analysis dimension, and according to multiple monitoring dimensions, statistical analysis is performed on information corresponding to each monitoring index in each monitoring dimension in multiple report call record tables, so as to generate an analysis result of each monitoring dimension, where the implementation manner includes:

according to at least one analysis dimension in each monitoring dimension, performing statistical analysis on information corresponding to each monitoring index in each analysis dimension in a plurality of report call record tables to generate an analysis result of each monitoring dimension, wherein the analysis result of each monitoring dimension comprises: statistical analysis results for at least one analysis dimension, the statistical analysis results for each analysis dimension comprising: the statistical analysis result of each monitoring index in each analysis dimension;

the at least one analysis dimension includes: at least one of a medical institution dimension, a visit staff dimension, a time interval dimension, a medical report dimension, a diagnosis behavior dimension, and a medical expense dimension.

One or more monitoring indexes of each monitoring dimension (service efficiency dimension, service quality dimension, economic benefit dimension, etc.) can be analyzed by adopting one analysis dimension or a combination of multiple analysis dimensions, that is, the cross-institution medical report call monitoring method of the embodiments is implemented for the selected analysis dimension. The analysis dimension may refer to the dimension category in table 9, which is not described herein again.

For example, the medical institution dimension may be a dimension corresponding to "medical institution" in table 9, the visit dimension may be a dimension corresponding to "visit" in table 9, the time interval dimension may be a dimension corresponding to "time interval" in table 9, the medical report dimension may be a dimension corresponding to "historical examination behavior or historical examination behavior" in table 9, the medical behavior dimension may be a dimension corresponding to "medical behavior" in table 9, the medical expense dimension may be a dimension corresponding to "medical expense" in table 9, and the like. On this basis, each analysis dimension can also be expanded according to a specific implementation scenario, which is not limited in the present application.

The foregoing is merely an example, and in an actual implementation, other implementation manners may also be available, which are not limited in this application.

Optionally, on the basis of fig. 1, the present application further provides a possible implementation manner of a cross-institution medical report call monitoring method, and fig. 3 is a flowchart of a cross-institution medical report call monitoring method provided in another embodiment of the present application; as shown in fig. 3, before obtaining a plurality of report call record tables of the preset medical institution, the method further includes:

step 301: acquiring a call information table of the current visit of a doctor and a historical report information table of the doctor in the process of one visit of a preset medical institution;

step 302: and integrating the call information table of the current visit and the historical report information table to generate a report call record table.

For example, in one possible implementation of step 101: the report calling record table can be generated by integrating a plurality of tables stored by preset medical institutions and/or stored by a medical big data center. Therefore, before acquiring a plurality of report invocation record tables of a preset medical institution, the present-time visit invocation information table (for example, tables 2, 6 and 7 in a specific implementation manner of step 101) of a visit person of the preset medical institution in a one-time visit process, and a historical report information table (for example, tables 2, 3, 4 and 5 in a specific implementation manner of step 101) of the visit person can be acquired; and generating a report calling record table by integrating the calling information table of the current visit and the historical report information table.

For a specific implementation manner, reference may be made to the description of the specific implementation manner of step 101, which is not described herein again.

Optionally, on the basis of fig. 3, the present application further provides a possible implementation manner of the cross-institution medical report call monitoring method, and fig. 4 is a flowchart of a cross-institution medical report call monitoring method according to yet another embodiment of the present application; as shown in fig. 4, before acquiring the call information table of the current visit of a visit person and the historical report information table of the visit person in the process of a visit by a preset medical institution, the method further includes:

step 401: and if the fact that the historical medical record of one medical staff in the preset medical institution is called is monitored, matching the target historical medical report of other medical institutions related to the one medical staff.

Step 402: and generating a call information table of the current visit according to the call condition of the target historical medical report by the patient receiver corresponding to one patient in the preset medical institution.

In one possible implementation, if it is detected that the historical medical record of a medical professional in a preset medical institution is called, the target historical medical report of the medical professional matcher in other medical institutions can be obtained. The matching process may include, for example:

because of the particularity of the application field of the application, the change value of the physical sign for overlong time before the visit time is limited (or no reference value exists), the value of N can be set by referring to clinical diagnosis and treatment specifications and the like, for example, N can be set as the longest time limit that the historical physical sign information of a patient has the reference value) in the historical medical reports of the preset medical institution and other medical institutions;

if the time of the historical medical report of the medical staff at the other medical institution is later than that of the medical staff at the preset medical institution, determining that the historical medical report of the medical staff at the other medical institution is a target historical medical report;

and if the historical medical report of the doctor at the other medical institution does not exist in the preset medical institution, determining that the historical medical report of the doctor at the other medical institution is the target historical medical report.

Then, according to the calling condition of the target historical medical report by the service taker corresponding to one service taker in the preset medical institution, generating a calling information table for the current service, which may include the following steps:

firstly, acquiring an operation instruction aiming at a target medical report in a historical medical report of a patient; the operation instruction comprises a selection instruction and a target medical report reference instruction; the historical medical report comprises a historical examination report and/or a historical inspection report; the target medical report includes a target examination report and/or a target examination report.

Then, storing the operation information of the operation instruction and other related information; the other relevant information may be, for example, information of one or more data items in table 1, or may be basic information of a medical staff, preset medical institution information, other medical institution information corresponding to a target medical report, and the like, which is not limited in this application.

And finally, generating a call information table of the present visit according to the stored operation information of the operation instruction and other related information. Wherein the operation information includes: operation instructions and target medical reports.

In the above embodiment, if the operation instruction is a reference selection instruction, acquiring an operation instruction for a target medical report in a historical medical report of a medical staff, including:

acquiring a reference selection instruction aiming at a target medical report in the historical medical reports of the medical staff;

if the reference selection instruction indicates that the target medical report is referred, the operation information further comprises: a citation degree value for the target medical report;

if the reference selection instruction indicates that the target medical report is not referred, the operation information further comprises: non-cited reasons for the target medical report;

in the above embodiment, after searching for the medical staff historical medical report corresponding to the medical staff identification information based on the medical staff identification information of the medical staff, the method further includes:

displaying first consulting prompt information of historical medical reports of the medical personnel through an interface;

if a viewing instruction based on the first viewing prompt information is acquired, displaying a historical medical report on an interface;

reference selection instructions for a target medical report in the medical staff historical medical report are obtained.

In the above embodiment, the historical medical report corresponds to historical medical advice information; if the reference selection instruction indicates that the target medical report is not referred, after the non-reference selection instruction for the target medical report in the historical medical reports of the medical staff is obtained, the method further comprises the following steps:

acquiring new medical advice information and historical medical advice information of the patient (or target medical advice information in the historical medical advice information, wherein the target medical advice information is medical advice information corresponding to a target medical report); the new medical advice information is information of new medical advice issued by the doctor on the current doctor visit by the doctor who receives the doctor;

comparing the new medical advice information with the historical medical advice information (or target medical advice information) of the patient;

if the new medical advice information is consistent with the historical medical advice information (or the target medical advice information) of the patient, displaying a non-reference reason input interface on the interface;

a non-reference reason for the history order information (or the target order information) is acquired.

In the embodiment, if the viewing instruction based on the viewing prompt information is not acquired, new medical advice information is acquired;

comparing the new medical advice information with the historical medical advice information (or target medical advice information) of the patient;

if the new medical advice information is consistent with the historical medical advice information (or the target medical advice information) of the patient, displaying second consulting prompt information of the historical medical advice information (or the target medical advice information) of the patient through an interface;

if a viewing instruction based on the second viewing prompt information is acquired, displaying historical medical advice information (or target medical advice information) on an interface;

and acquiring a reference selection instruction of a target medical report corresponding to the historical medical order information (or target medical order information) of the visit staff.

In the embodiment, if the viewing instruction based on the second viewing prompt information is not acquired, displaying a non-viewing reason input interface on the interface;

the reason for not referring to the history order information (or the target order information) is acquired.

The foregoing is merely an example, and in practical implementation, other modes may also be adopted, and the present application does not limit this.

Optionally, on the basis of the foregoing embodiment, the present application further provides a possible implementation manner, where statistical analysis is performed on information corresponding to preset monitoring indexes in the multiple report call record tables, and after an analysis result of the preset monitoring indexes is generated, the method further includes:

and displaying the analysis result of the preset monitoring index on the front-end interface in real time.

In a possible implementation manner, after the visit staff is prompted with the target historical medical report of other medical institutions related to the visit staff (for example, when the latest target historical medical report is pushed to the visit staff), the total service quality score of the institution providing the report, the quoted rate of the report, the number of times of medical accident disputes (the hospital for making the report), the difference rate of the report diagnosis results, and the like can be displayed at the same time.

Or the total real-time service efficiency score of the reception staff and the cost generated by repeated examination and check in the consultation rate, the mutual recognition rate, the repeated examination and check rate and the economic benefit index and the cost saved by the result mutual recognition can be displayed in real time on the front-end interface of the reception staff or the hospital.

Alternatively, the total service quality score and the report quoted rate, the number of medical accident disputes (the issuing of report hospitals), the number of diagnosis result differences, and the like may be displayed on the front-end interface of the medical skill (examination and inspection) workstation.

Or, the real-time display and reminding of the full indexes can be realized at a medical institution management end and a regional medical health management end.

The method can be used for capturing daily calling behaviors of medical big data, but the display method is not limited to the embodiment, and a user can select other display modes as required.

Optionally, on the basis of the embodiment in fig. 1, the present application further provides a possible implementation manner, where statistical analysis is performed on information corresponding to preset monitoring indexes in a plurality of report call record tables, and an analysis result of the preset monitoring indexes is generated, where the possible implementation manner includes:

screening out non-critical value reports from a plurality of report calling record tables; wherein, the non-critical value report is a report calling record table without critical value;

and carrying out statistical analysis on information corresponding to the preset monitoring indexes in the screened non-critical value report to generate an analysis result of the preset monitoring indexes.

It should be noted that the critical value refers to a certain item or a certain type of inspection and inspection abnormal result, and reaches a certain dangerous edge. When the critical value appears, the patient is possibly in a life-threatening marginal state, a clinician needs to obtain inspection information in time, effective intervention measures or treatment are quickly given to the patient, the life of the patient can be saved, otherwise serious consequences can occur, and the optimal rescue opportunity is lost. Due to historical exam findings that include critical values, for example, historical visit reports (e.g., including historical visit report form (as shown in table 3), historical exam report collection form (as shown in table 4)) are contingent, extreme, and time-consuming. In subsequent cross-institution diagnosis and treatment, historical examination and inspection reports with critical values are not suitable for direct reference, samples are generally required to be collected again for inspection and processing, and even if the service personnel reference the reports, the reports are not included in the statistical analysis of monitoring indexes in the subsequent cross-institution medical report calling and monitoring.

Therefore, when cross-institution medical report call monitoring is performed, the report call record tables with critical values can be removed from a plurality of report call record tables of preset medical institutions, and the rest non-critical value reports can be analyzed.

In addition, when the first consultation prompt information of the historical medical report of the medical staff is displayed through the interface, or when the historical medical report is displayed on the interface, if the historical medical report of the medical staff is the historical medical report containing the critical value, the first consultation prompt information can be displayed, and simultaneously, the prompt information of the critical value report (prompting that the historical medical report contains the critical value) and/or the warning time of the critical value can be displayed, so that the medical staff is prompted to include the critical value in the historical medical report, and the medical staff is required to judge whether the medical staff is suitable for reference.

The following describes a monitoring device, an electronic device, a storage medium, and the like for executing a cross-institution medical report call provided by the present application, and specific implementation processes and technical effects thereof are referred to above and will not be described again below.

The embodiments of the present application provide possible implementation examples of a cross-institution medical report call monitoring device, which can execute the cross-institution medical report call monitoring method provided in the foregoing embodiments. Fig. 5 is a schematic diagram of a cross-institution medical report call monitoring device according to an embodiment of the present application. As shown in fig. 5, the cross-institution medical report call monitoring device 100 includes: an acquisition module 51, an analysis module 53;

the obtaining module 51 is configured to obtain a plurality of report call record tables of a preset medical institution, where each report call record table records: calling information of medical reports of other medical institutions in a one-time doctor seeing process in a preset medical institution;

the analysis module 53 is configured to perform statistical analysis on information corresponding to the preset monitoring index in the report call record tables, and generate an analysis result of the preset monitoring index.

Optionally, the analysis module 53 is configured to perform statistical analysis on information corresponding to each monitoring index in each monitoring dimension in the multiple report call record tables according to the multiple monitoring dimensions, and generate an analysis result of each monitoring dimension, where the analysis result of each monitoring dimension includes: analyzing results of each monitoring index in each monitoring dimension;

the plurality of monitoring dimensions includes: at least two dimensions of a service efficiency dimension, a service quality dimension, an economic benefits dimension, and an un-invoked report cause dimension.

Optionally, the cross-institution medical report call monitoring device 100 further includes: an output module;

if the multiple monitoring dimensions include: and the output module is used for outputting first early warning prompt information aiming at the preset medical institution if the analysis result of the first preset monitoring index in the service efficiency dimension indicates that the service efficiency of the preset medical institution does not meet a first preset condition.

Optionally, if the multiple monitoring dimensions include: the service quality dimension output module is used for outputting second early warning prompt information aiming at the preset medical institution if the analysis result of a second preset monitoring index in the service quality dimension indicates that the service quality of the preset medical institution does not meet a second preset condition;

or if the analysis result of a third preset monitoring index in the service quality dimension indicates that the service quality of the referred medical institution does not meet a third preset condition, outputting third early warning prompt information aiming at the referred medical institution; wherein the referred medical institution is the medical institution to which the medical report is referred by the preset medical institution.

Optionally, if the multiple monitoring dimensions include: and the analysis module 53 is configured to perform statistical analysis on information corresponding to each monitoring index in the plurality of report call record tables according to the economic benefit dimension, and generate an analysis result of the economic benefit dimension.

Optionally, the analysis module 53 is configured to perform statistical analysis on information corresponding to each monitoring index in each analysis dimension in the report call record table according to at least one analysis dimension in each monitoring dimension, to generate an analysis result of each monitoring dimension, where the analysis result of each monitoring dimension includes: statistical analysis results for at least one analysis dimension, the statistical analysis results for each analysis dimension comprising: the statistical analysis result of each monitoring index in each analysis dimension;

the at least one analysis dimension includes: at least one of a medical institution dimension, a medical attendant dimension, a time interval dimension, a medical report dimension, a medical action dimension, and a medical expense dimension.

Optionally, the monitoring device 100 is called for medical report of the cross-institution, and further includes: the information acquisition module and the integration module;

the information acquisition module is used for acquiring a call information table of the current visit of a medical staff in the process of the current visit of a preset medical institution and a historical report information table of the medical staff;

and the integration module is used for integrating the call information table of the current visit and the historical report information table to generate a report call record table.

Optionally, the cross-institution medical report call monitoring device 100 further includes: a monitoring module, a generating module;

the monitoring module is used for matching a target historical medical report of other medical institutions related to a medical staff if the fact that the historical medical record of the medical staff in a preset medical institution is called is monitored;

and the generation module is used for generating a calling information table of the current visit according to the calling condition of the visit receiving staff corresponding to one visit staff in a preset medical institution to the target historical medical report.

Optionally, the monitoring device 100 is invoked for medical report of a cross-institution, further comprising: a screening module;

the screening module is used for screening out non-critical value reports from the report calling record tables; wherein, the non-critical value report is a report calling record table without critical value;

and the analysis module 53 is configured to perform statistical analysis on information corresponding to the preset monitoring index in the screened non-critical value report, and generate an analysis result of the preset monitoring index.

The above-mentioned apparatus is used for executing the method provided by the foregoing embodiment, and the implementation principle and technical effect are similar, which are not described herein again.

These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

The embodiment of the present application provides a possible implementation example of an electronic device, which is capable of executing the cross-institution medical report call monitoring method provided by the above embodiment. Fig. 6 is a schematic diagram of an electronic device according to an embodiment of the present disclosure, where the electronic device may be integrated in a terminal device or a chip of the terminal device, and the terminal may be a computing device with a data processing function.

The electronic device includes: the monitoring system comprises a processor 601, a storage medium 602 and a bus, wherein the storage medium stores program instructions executable by the processor, when the electronic device runs, the processor and the storage medium communicate through the bus, and the processor executes the program instructions to execute the steps of the cross-mechanism medical report calling monitoring method. The specific implementation and technical effects are similar, and are not described herein again.

The embodiment of the present application provides a possible implementation example of a computer-readable storage medium, which is capable of executing the cross-institution medical report call monitoring method provided by the foregoing embodiment, where the storage medium stores a computer program, and when the computer program is executed by a processor, the computer program executes the foregoing steps of the cross-institution medical report call monitoring method.

A computer program stored in a storage medium may include instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor (which may be a processor) to perform some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (11)

1. A cross-institution medical report invocation monitoring method, characterized by comprising:

acquiring a plurality of report calling record tables of a preset medical institution, wherein each report calling record table records: calling information of medical reports of other medical institutions in the process of one visit in the preset medical institution;

and carrying out statistical analysis on information corresponding to preset monitoring indexes in the report calling record tables to generate an analysis result of the preset monitoring indexes.

2. The method of claim 1, wherein the performing statistical analysis on the information corresponding to the preset monitoring index in the report call record tables to generate the analysis result of the preset monitoring index comprises:

according to a plurality of monitoring dimensions, performing statistical analysis on information corresponding to each monitoring index in each monitoring dimension in the plurality of report call record tables to generate an analysis result of each monitoring dimension, wherein the analysis result of each monitoring dimension comprises: analyzing results of each monitoring index in each monitoring dimension;

the plurality of monitoring dimensions includes: at least two dimensions of a service efficiency dimension, a service quality dimension, an economic benefits dimension, and an invoiced report reason dimension.

3. The method of claim 2, wherein if the plurality of monitoring dimensions comprises: a service efficiency dimension, the method further comprising:

and if the analysis result of a first preset monitoring index in the service efficiency dimension indicates that the service efficiency of the preset medical institution does not meet a first preset condition, outputting first early warning prompt information aiming at the preset medical institution.

4. The method of claim 2, wherein if the plurality of monitoring dimensions comprises: a quality of service dimension, the method further comprising:

if the analysis result of a second preset monitoring index in the service quality dimension indicates that the service quality of the preset medical institution does not meet a second preset condition, outputting second early warning prompt information aiming at the preset medical institution; or,

if the analysis result of a third preset monitoring index in the service quality dimension indicates that the service quality of the referred medical institution does not meet a third preset condition, outputting third early warning prompt information aiming at the referred medical institution; wherein the referred medical institution is a medical institution to which the medical report is referred by the pre-set medical institution.

5. The method of claim 2, wherein if the plurality of monitoring dimensions comprises: and according to the multiple monitoring dimensions, performing statistical analysis on information corresponding to each monitoring index in each monitoring dimension in the multiple report call record tables to generate an analysis result of each monitoring dimension, wherein the analysis result comprises the following steps:

and carrying out statistical analysis on information corresponding to each monitoring index of the economic benefit dimensionality in the plurality of report calling record tables to generate an analysis result of the economic benefit dimensionality.

6. The method according to any one of claims 2 to 5, wherein the performing statistical analysis on information corresponding to each monitoring index in each monitoring dimension in the report call record tables according to a plurality of monitoring dimensions to generate an analysis result of each monitoring dimension comprises:

according to at least one analysis dimension in each monitoring dimension, performing statistical analysis on information corresponding to each monitoring index in each analysis dimension in the report call record tables to generate an analysis result of each monitoring dimension, wherein the analysis result of each monitoring dimension comprises: statistical analysis results of the at least one analysis dimension, the statistical analysis results of each analysis dimension comprising: statistical analysis results of each monitoring index in each analysis dimension;

the at least one analysis dimension includes: at least one of a medical institution dimension, a visit staff dimension, a time interval dimension, a medical report dimension, a diagnosis behavior dimension, and a medical expense dimension.

7. The method of claim 1, wherein prior to obtaining the plurality of report call log sheets for the pre-set medical institution, the method further comprises:

acquiring a call information table of the current visit of a medical staff in the process of one visit of the preset medical institution and a historical report information table of the medical staff;

and integrating the call information table of the current visit and the historical report information table to generate a report call record table.

8. The method of claim 7 wherein said obtaining said called form of a visit by said pre-determined facility for a visit by a visit and said historical reported form of a visit by said one visit further comprises:

if the fact that the historical medical record of the one medical staff in the preset medical institution is called is monitored, matching the target historical medical report of other medical institutions related to the one medical staff;

and generating the call information table of the current visit according to the call condition of the visit receiving staff corresponding to the one visit staff in the preset medical institution to the target historical medical report.

9. The method of claim 1, wherein the performing statistical analysis on the information corresponding to the preset monitoring index in the report call record tables to generate the analysis result of the preset monitoring index comprises:

screening out non-critical value reports from the plurality of report calling record tables; the non-critical value report is a report calling record table without a critical value;

and carrying out statistical analysis on the information corresponding to the preset monitoring index in the screened non-critical value report to generate an analysis result of the preset monitoring index.

10. A cross-institution medical report invocation monitoring device, comprising: the acquisition module and the analysis module;

the acquisition module is used for acquiring a plurality of report calling record lists of a preset medical institution, and each report calling record list records: calling information of medical reports of other medical institutions in the process of one visit in the preset medical institutions;

the analysis module is used for carrying out statistical analysis on information corresponding to preset monitoring indexes in the report calling record lists and generating an analysis result of the preset monitoring indexes.

11. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing program instructions executable by the processor, the processor and the storage medium communicating via the bus when the electronic device is running, the processor executing the program instructions to perform the steps of the cross-institution medical report call monitoring method as claimed in any one of claims 1 to 9.

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