CN112652407B - Screening method, device and storage medium for diagnosis and treatment information of Internet hospital - Google Patents
Screening method, device and storage medium for diagnosis and treatment information of Internet hospital Download PDFInfo
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Abstract
The application provides a screening method, a screening device and a storage medium for internet hospital diagnosis and treatment information. According to the application, the whole flow supervision before diagnosis and treatment and after diagnosis of the Internet hospital is established according to the construction requirements of the Internet hospital in the related files, and multiple dimensions of multiple roles (doctors, pharmacists, patients) and multiple behaviors (diagnosis, medication and the like) are covered, so that the whole intelligent supervision of the diagnosis and treatment quality and the behaviors of the doctors is realized, and the medical service quality can be effectively improved. Meanwhile, the method can complete timely report of suspected case information of the special diseases so as to assist in comprehensive screening and regional collaborative management of the special diseases.
Description
Technical Field
The application relates to the technical field of information processing, in particular to a screening method, a screening device and a storage medium of internet hospital diagnosis and treatment information.
Background
The patient carries out on-line re-diagnosis in the internet hospital, and in the re-diagnosis process, doctors can read the historical diagnosis and treatment information of the patient through doctor terminals to carry out comprehensive judgment so as to accurately know the illness state of the patient. Because more diagnosis and treatment data exist and the data are generally more, when doctors diagnose patients, the doctors may not comprehensively analyze various diseases of the patients or the patients cannot find a certain illness state of the patients in time due to missing certain data.
Disclosure of Invention
The embodiment of the application aims to provide a screening method, a screening device and a storage medium for internet hospital diagnosis and treatment information, which are used for screening set conditions for on-line re-diagnosis of patient diagnosis and treatment information of an internet hospital and correspondingly reminding doctors through doctor terminals, so that the problems in the prior art are greatly improved.
In a first aspect, an embodiment of the present application provides a method for screening diagnosis and treatment information of an internet hospital, including receiving a review appointment request of a patient in the internet hospital; the method comprises the steps of determining whether a patient in consultation meets the qualification of re-consultation in an Internet hospital according to a re-consultation reservation request, acquiring diagnosis and treatment information of the patient in consultation after determining that the patient in consultation meets the qualification of re-consultation, and matching the diagnosis and treatment information with at least one keyword list in a symptom rule base, wherein each keyword list comprises symptom keywords of a specific disease, if the diagnosis and treatment information hits at least one symptom keyword in a first target keyword list in the at least one keyword list, sending a mark reminding to a doctor terminal, wherein the mark reminding comprises names of diseases corresponding to the hit first target keyword list so as to remind a doctor to verify whether the patient in consultation suffers from the disease corresponding to the hit first target keyword list, and marking after verification.
According to the technical scheme, the diagnosis and treatment information of the on-line re-diagnosis patient in the Internet hospital can be accurately screened, the possible diseases of the patient are found by matching the diagnosis and treatment information with the keyword list, then a doctor is reminded of paying attention to and verifying the diagnosis and treatment information through the doctor terminal, the doctor is prevented from missing the key information, and a reminding effect is achieved. Meanwhile, the names of related diseases possibly suffered by the patient are sent together with the mark reminding, so that doctors can verify the diseases suffered by the patient more pertinently after receiving the mark reminding, and the doctors can be helped to diagnose the diseases suffered by the patient more comprehensively.
In an alternative embodiment, after sending the mark reminding to the doctor terminal, the method further comprises the steps of receiving a suspected case mark added to the patient through the doctor terminal after verifying whether the patient is suffering from the disease corresponding to the first target keyword list, and uploading case information of the patient to the national health information platform if the added suspected case mark is the first mark.
After receiving the suspected case mark uploaded by the doctor terminal, judging whether the suspected case mark belongs to a first mark, wherein the first mark is used for representing the conclusion that the patient really suffers from the corresponding disease, and if so, uploading the case information of the patient to a national health information platform so as to enable platform personnel to carry out subsequent work.
In an alternative embodiment, after the diagnosis and treatment information is matched with at least one keyword list in a symptom rule base, the method further comprises judging whether a disease corresponding to the hit second target keyword list contains a disease corresponding to the main diagnosis in the diagnosis and treatment information or not if the diagnosis and treatment information hits at least one symptom keyword in the second target keyword list in the at least one keyword list, and sending a symptom prompt to a doctor terminal when the disease corresponding to the main diagnosis in the diagnosis and treatment information is not contained so as to remind the doctor of verifying whether the disease corresponding to the hit second target keyword list of the patient is suffered or not.
The symptom rule base comprises a second target keyword list, wherein the second target keyword list can be a keyword list corresponding to common diseases and chronic diseases in an internet hospital diagnosis and treatment directory, and when the hit diseases corresponding to the second target keyword list are inconsistent with the original main diagnosis of the patient, the symptoms of the patient can be changed, so that symptom reminding is generated to remind doctors.
In an optional implementation mode, the method further comprises the steps of obtaining inquiry contents between the patient to be diagnosed and a doctor in the current diagnosis process transmitted by the doctor terminal, matching the inquiry contents with sensitive words in a preset diagnosis and treatment word sensitive word list, and sending standard word reminding to the doctor terminal if the inquiry contents hit any sensitive word in the diagnosis and treatment word sensitive word list, wherein the standard word reminding is used for reminding the doctor of diagnosis and treatment words used in the standard diagnosis and treatment process.
A diagnosis and treatment term sensitive word list is established in advance, and when a patient or a doctor has sensitive words in the inquiry process, standard term reminding is generated and used for reminding the doctor of the diagnosis and treatment term used in the standard treatment process, so that the standard of the doctor's receiving of the diagnosis and treatment language is realized.
In an optional implementation manner, the acquiring of the inquiry content between the patient and the doctor in the current inquiry process transmitted by the doctor terminal includes receiving the inquiry content transmitted by the doctor terminal, where the inquiry content is obtained by integrating text content between the patient and the doctor in the current text inquiry process by the doctor terminal, or receiving the voice content between the patient and the doctor in the current voice inquiry process transmitted by the doctor terminal, converting the voice content into text content, and integrating the text content to obtain the inquiry content.
In an optional implementation mode, the method further comprises the steps of counting the number of times of sending the mark reminding to the doctor terminal in a preset period and the number of times of not adding the suspected case mark after the doctor terminal receives the mark reminding, calculating the ratio of the number of times of not adding the suspected case mark to the number of times of sending the mark reminding to obtain a mark missing rate, and sending an early warning reminding to the doctor terminal when the mark missing rate exceeds a preset normal value interval.
In the scheme, the mark missing rate is used as a measurement index, and when the mark missing rate exceeds a preset normal value interval, an early warning prompt is sent to a doctor terminal, so that a doctor is prompted to positively and timely add corresponding suspected case marks after diagnosis and treatment are completed.
In an alternative embodiment, the step of acquiring diagnosis and treatment information of the patient at the doctor and matching the diagnosis and treatment information with at least one keyword list in the symptom rule base includes acquiring historical diagnosis and treatment information of the patient at the doctor and matching the historical diagnosis and treatment information with at least one keyword list in the symptom rule base before acquiring inquiry contents between the patient at the doctor and the doctor in the current diagnosis and treatment process transmitted by the doctor terminal.
In an alternative embodiment, the step of obtaining the diagnosis and treatment information of the patient at the doctor and matching the diagnosis and treatment information with at least one keyword list in the symptom rule base includes matching the content of the inquiry with at least one keyword list in the symptom rule base after obtaining the content of the inquiry between the patient at the doctor and the doctor in the current diagnosis process transmitted from the doctor terminal.
In a second aspect, an embodiment of the application provides a screening device for internet hospital diagnosis and treatment information, which comprises a review appointment module, a review qualification judging module, an information acquisition module, an information matching module and an information screening module, wherein the review appointment module is used for receiving a review appointment request of a patient in an internet hospital, the review qualification judging module is used for determining whether the patient meets the qualification of the review in the internet hospital according to the review appointment request, the information acquisition module is used for acquiring diagnosis and treatment information of the patient after determining that the patient meets the qualification of the review, and matching the diagnosis and treatment information with at least one keyword list in a symptom rule base, each keyword list comprises a symptom keyword of a specific disease, and the information screening module is used for sending a marking prompt to a doctor terminal when the diagnosis and treatment information hits at least one symptom keyword in the first target keyword list, wherein the marking prompt comprises the name of the disease corresponding to the hit first target keyword list, so as to remind the doctor to mark whether the patient suffers from the disease corresponding to the hit first target keyword list, and then verify the disease.
In an optional implementation mode, the device further comprises a mark receiving module and a mark judging module, wherein the mark receiving module is used for receiving a suspected case mark added to the patient through a doctor terminal after verifying whether the patient is suffering from a disease corresponding to a first target keyword list, and the mark judging module is used for uploading case information of the patient to a national health information platform when the added suspected case mark is the first mark.
In an optional implementation mode, the device further comprises a consultation content acquisition module used for acquiring consultation content between the patient to be treated and a doctor in the current treatment process transmitted by the doctor terminal, a sensitive vocabulary matching module used for matching the consultation content with sensitive vocabularies in a preset diagnosis and treatment phrase sensitive word list, and a phrase reminding module used for sending a standard phrase reminder to the doctor terminal when the consultation content hits any sensitive vocabularies in the diagnosis and treatment phrase sensitive word list, wherein the standard phrase reminder is used for reminding the doctor of diagnosis and treatment phrases used in the standard treatment process.
In a third aspect, an embodiment of the present application provides a storage medium storing computer instructions that, when executed by a computer, cause the computer to perform a method according to any one of the optional embodiments of the first aspect and the first aspect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a screening method for internet hospital diagnosis and treatment information provided by an embodiment of the application;
fig. 2 is another flowchart of a screening method of internet hospital diagnosis and treatment information according to an embodiment of the present application;
FIG. 3 is another flowchart of a method for screening Internet hospital diagnosis and treatment information according to an embodiment of the present application;
Fig. 4 is another flowchart of a screening method of internet hospital diagnosis and treatment information according to an embodiment of the present application;
fig. 5 is a schematic diagram of a screening device for internet hospital diagnosis and treatment information according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.
In month 4 of 2018, the office of the national hospital writes the "Internet hospital" into a formal policy file for the first time, and the file indicates that the diagnosis and treatment scope of the Internet hospital only comprises the re-diagnosis of part of common diseases and chronic diseases, and then the Internet hospital enters a rapid construction period. In order to further meet the related requirements in the documents, the national Wei Jian Committee and the national traditional Chinese medicine administration set clear requirements for the construction of Internet hospitals, wherein the Internet hospitals are provided with two forms, namely Internet hospitals of physical medical institutions and Internet hospitals independently arranged by depending on the physical medical institutions. Before the scheme provided by the embodiment of the application is carried out, the early-stage deployment work of the Internet hospital is carried out.
First, internet hospital qualification is acquired. The entity medical institution which has acquired the medical institution license submits the application of adding the Internet hospital as the second name to the issuing institution, submits the related materials, and acquires the Internet hospital qualification after the auditing passes.
Second, a diagnosis and treatment catalog is established. According to the file requirements, an Internet hospital diagnosis and treatment directory is established jointly by the urban/regional health administration and an entity medical institution to which the Internet hospital belongs, so that the diagnosis and treatment service range of the Internet hospital is limited.
Thirdly, establishing a medicine gray list. According to the requirements, the medical gray list for diagnosis and treatment of the Internet hospital is established by the urban/regional health administration and the entity medical institution of the Internet hospital together, so that the medical scope of the Internet hospital is limited. According to the requirements of the documents, the prescriptions of narcotics, mental medicines and other medicines with higher medication risks and other special management regulations cannot be issued in the Internet hospitals, and after a gray list of medicines is established, the list can be used as a prescription checking basis, and if medicines in the list exist, the prescription checking is not passed.
Fourth, the right to practice is asserted. The manager of the entity medical institution calls the medical staff information base according to the file requirement, selects to obtain corresponding practice qualification according to law, registers on the supported entity medical institution or other medical institutions, marks the Internet hospital practice authority of the doctor/pharmacist with independent clinical working experience for more than years as yes, and forms the Internet hospital medical staff information base. In the development process of the internet hospital diagnosis and treatment service, attention is required to keep doctors consistent with the practice scope of the entity hospital in the practice scope of the internet hospital, and the on-line diagnosis and treatment service scope of the internet hospital cannot exceed the off-line diagnosis and treatment service scope of the entity medical institution on which the on-line diagnosis and treatment service scope is supported.
Fifth, physician/pharmacist registration. And building a mature internet hospital informatization system, sending registration reminding to related doctors/pharmacists, logging in the system by the doctors/pharmacists to carry out registration application, submitting related information such as names, work numbers, passwords and the like, and completing electronic verification of forms such as faces/irises and the like.
The fourth and fifth items establish a pre-diagnosis supervision flow of the internet hospital diagnosis and treatment.
Sixthly, in the process of establishing a mature Internet hospital informatization system, the system can be provided with the following functions of (1) electronic prescription issuing, in which a doctor can complete electronic prescription issuing on line and conduct electronic signature, (2) electronic medical record writing, in which a doctor can establish electronic medical records for patients according to related file requirements and conduct management according to regulations, (3) a pharmacist examining platform, in which a pharmacist can complete prescription examination on line and conduct specific examination comments, (4) a prescription circulation platform, in which a doctor issues prescriptions, a pharmacist examining party passes, a patient can complete on-line prescription payment, in which on-line medicine taking or medicine distribution is completed by means of the prescription circulation platform, and in addition, (5) in which on-line inquiry voice is converted into text, in the on-line diagnosis and treatment function of voice recognition and text conversion is added, automatic recognition and text conversion of languages of doctors and doctors are facilitated, in the diagnosis and in which the doctor is supervised, in the embodiment, in which the qualification judgment of on-line multiple diagnosis is facilitated for patients on the appointment Internet, in which the doctor on-line, is well-scheduled hospital is facilitated, and in which the whole-line health information sharing of the related information of the patients is achieved by the whole people is shared by the aid of the whole health platform.
The embodiment of the application provides a screening method of internet hospital diagnosis and treatment information, which focuses on screening the diagnosis and treatment information of on-line re-diagnosis patients in an internet hospital and reminding a re-doctor accordingly. For example, for a patient with a doctor meeting a specific condition, a mark reminding is sent to a doctor terminal to remind the doctor of paying more attention to the diagnosis and treatment information of the patient with the doctor, so that missing of certain key information of the patient with the doctor can be avoided, and the condition of the doctor is prevented from being musied.
The screening method provided by the application is applied to the internet hospital data center and provides assistance for the doctor of the internet hospital to review. Fig. 1 shows a flow chart of the screening method, which is performed by an internet hospital data center. As shown in fig. 1, the method includes:
step 110, receiving a re-diagnosis appointment request of the patient in the internet hospital.
Step 120, determining whether the patient meets the qualification of the re-diagnosis in the Internet hospital according to the re-diagnosis reservation request, and executing step 130 after determining that the patient meets the qualification of the re-diagnosis.
Unlike the off-line physical hospital, for the patient with the re-diagnosis in the internet hospital, the re-diagnosis qualification needs to be judged first, that is, after the re-diagnosis reservation request of the patient with the re-diagnosis is received, whether the patient with the re-diagnosis meets the qualification of the re-diagnosis in the internet hospital is checked first, and under the condition that the re-diagnosis qualification is met, the patient with the re-diagnosis in the internet hospital can be allowed to be re-diagnosed, and meanwhile, the following steps 130-140 can be executed, and the following processes of monitoring the doctor marking behavior, monitoring the normalization of the diagnosis term in the doctor inquiry process and the like can be started.
It should be noted that, the step 130 may be performed immediately after the step 120, or the step 130 may be performed after the step 120, or after the online review is completed, the online review is performed in the internet hospital.
And 130, acquiring diagnosis and treatment information of the patient to be treated, and matching the diagnosis and treatment information with at least one keyword list in the symptom rule base.
And 140, if the diagnosis and treatment information hits at least one symptom keyword in the first target keyword list in the at least one keyword list, sending a marked reminder to the doctor terminal.
In one embodiment of step 120, the patient initiates a review appointment request through the user terminal according to the relevant prescription of the internet hospital diagnosis appointment (e.g. 1 day in advance) before the review, and the internet hospital data center receives the review appointment request and reminds the patient that the internet hospital only accepts the patients with common diseases and chronic diseases, and submits the main diagnosis name of the clinic or the first diagnosis. After the patient finishes the main diagnosis and submits through the user terminal, the internet hospital data center automatically calls an internet hospital diagnosis and treat directory, judges whether the main diagnosis submitted by the patient (comprising disease diagnosis codes and judging based on the disease diagnosis codes) is in the range of the internet hospital diagnosis and treat directory, if so, determines that the patient meets the qualification of on-line re-diagnosis in the internet hospital, if not, determines that the patient does not meet the qualification of on-line re-diagnosis in the internet hospital, and sends a prompt to the user terminal of the patient that the main diagnosis information does not meet the requirement of the internet hospital diagnosis and treat directory, and please visit to an off-line entity medical institution. Under the condition that the re-diagnosis qualification is met, the patient can select the time range of expected re-diagnosis by himself, and the Internet hospital data center automatically retrieves a 'doctor practice range list' and a 'doctor scheduling information table' to match according to the selection of the patient, so as to screen out proper doctors. Or the internet hospital data center can directly distribute the re-diagnosis time and the re-diagnosis doctor to the patient according to the idle time period.
In addition to the above embodiment, in other embodiments of step 120, first, when a patient makes a doctor visit at an online physical hospital, an outpatient doctor can review the history diagnosis record of the patient and issue related orders to the patient according to the current patient condition, if the patient belongs to a chronic disease or a common disease and the disease diagnosis code of the patient is within the diagnosis scope of the hospital at the internet, the doctor can add an online review-available mark to the patient at the doctor terminal, and the online review-available mark corresponds to the department of the patient at the current visit, i.e. allows the patient to conduct online review at the same department of the internet hospital. After the diagnosis is finished, the doctor terminal sends the diagnosis and treatment information of the patient and the added on-line review mark to the entity hospital data center. The entity hospital data center periodically (such as every night) synchronizes the diagnosis and treatment information of the patients added with the on-line re-diagnosis marks in the patients who make the on-line diagnosis and treatment at the same day to the internet hospital data center, so that a potential re-diagnosis patient list is formed in the internet hospital data center.
Based on this embodiment, in step 120, the review appointment request includes an appointment department, the internet hospital data center receives a review appointment request sent by a user terminal of a patient to be treated, determines whether there is an out-patient data of the patient to be treated in the department in a potentially re-treatable patient list according to the review appointment request, if there is, further determines whether a review date of the patient appointment is within a review valid period according to the out-patient data, for example, whether an interval between the review date of appointment and an out-patient date in the out-patient data is within M days (if there are a plurality of out-patient data in the department, then determine with one out-patient data closest in time), if there is a corresponding on-line review mark in the out-patient data in the department, and if there is, determines that the patient to be treated meets the qualification of on-line review in the internet hospital. It should be noted that, the sequence of the judging step of the review valid period and the inquiring step of the on-line review mark is not limited.
Wherein, in the step 130, at least one keyword list is set in the symptom rule base, and each keyword list includes symptom keywords of a specific disease. The specific diseases may include specific diseases, such as new coronavirus pneumonia, common infectious diseases, and the like, common infectious diseases include varicella, cholera, hepatitis a, and the like, the specific diseases may also include some other diseases, and the other diseases may include some diseases that a hospital desires to screen, as described above, the internet hospital mainly performs review for common diseases and chronic diseases, so that the other diseases herein may be common diseases and chronic diseases in the internet hospital diagnosis and treatment catalog. At present, the mature disease types have relevant guidelines, some relevant symptoms of the disease are indicated in the guidelines, and corresponding keyword lists are constructed according to the symptoms shown by the disease, so that a symptom rule base is established.
In a specific embodiment, keyword list A may correspond to a new coronavirus pneumonia, a plurality of symptom keywords of the new coronavirus pneumonia may be included in the list, keyword list B may correspond to hepatitis A, and a plurality of symptom keywords of hepatitis A may be included in the list. The symptom keywords may include symptoms clinically exhibited by the patient, and may include symptoms exhibited by the patient's laboratory checks. Taking a keyword list A as an example, a corresponding keyword list is formulated according to a novel coronavirus pneumonia diagnosis and treatment scheme (trial seventh edition) issued by the Committee of China Wei Jian and used for matching with diagnosis and treatment information of a patient, and symptom keywords of the keyword list A can refer to a list shown in the following table one:
List one
The keyword list shown in the above table one is only one keyword list generated for the new coronavirus pneumonia, and obviously, the keyword list generated in actual practice may also include more symptom keywords, or fewer symptom keywords, and may even include symptom keywords different from the table one. The keyword list corresponding to other diseases can be constructed by referring to the form of the table one.
After the diagnosis and treatment information of the patient is obtained, the diagnosis and treatment information is respectively matched with each keyword list in at least one keyword list, and if the diagnosis and treatment information hits at least one symptom keyword in one or more first target keyword lists, a mark prompt is sent to a doctor terminal. The first target keyword list may be all the constructed keyword lists, and then when the diagnosis and treatment information hits any one of the keyword lists, a marked reminder is sent to the doctor terminal. In addition, the first target keyword list may be a constructed keyword list of a specific disease, and when the diagnosis and treatment information hits one or more keyword lists corresponding to the specific disease, a flag prompt is sent to the doctor terminal. The marking prompt comprises names of diseases corresponding to the hit first target keyword list, so that a doctor is reminded of verifying whether the patient is ill or not according to the hit first target keyword list, and the doctor is reminded of marking correspondingly after verification.
The symptom rule base comprises a first target keyword list, wherein the first target keyword list comprises a keyword list A (corresponding to new coronavirus pneumonia), a keyword list B (corresponding to hepatitis A) and a keyword list C (corresponding to varicella), the keyword list A comprises keywords 1-6, the keyword list B comprises keywords 7-15, and the keyword list C comprises keywords 16-25. In steps 110-120, diagnosis and treatment information of the patient to be diagnosed is respectively matched with keywords 1-6 in a keyword list A, 7-15 in a keyword list B and 16-25 in a keyword list C, if the diagnosis and treatment information hits keywords 3 and 5 in the keyword list A and hits keywords 10 in the keyword list B, a corresponding mark reminding is generated, the mark reminding comprises a name of new coronavirus pneumonia and a name of hepatitis A, then the mark reminding is sent to a doctor terminal, and after the doctor terminal receives the mark reminding, the doctor can check diagnosis and treatment information of the patient to be diagnosed through the doctor terminal to check whether the patient is suffering from the new coronavirus pneumonia and the hepatitis A.
Of course, the generating conditions of the marker reminder set in step 140 may be flexibly set according to the importance of different symptoms in different disease types. Still taking new coronavirus pneumonia as an example, in the corresponding keyword list A, according to the diagnosis and treatment scheme issued by Wei Jian, the fever belongs to the important clinical manifestation symptom of the new coronavirus pneumonia, so that when the diagnosis and treatment information of a patient in the diagnosis and treatment hits the symptom keyword of the fever, a corresponding mark reminding can be generated, and other symptom keywords which do not belong to the important manifestation symptom of the new coronavirus pneumonia, such as "nasal obstruction", "pharyngalgia", "vomiting" and the like, can be set to be regenerated into the corresponding mark reminding under the condition that the diagnosis and treatment information of the patient in the diagnosis and treatment hits a plurality of the symptom keywords at the same time, thereby improving the accuracy of the screening method, avoiding that doctors receive excessive mark reminding and affecting the normal diagnosis and treatment work.
After receiving the mark reminding, the doctor terminal reminds the doctor on the page so as to remind the doctor of verifying whether the patient is suffering from the disease corresponding to the hit first target keyword list. Optionally, as shown in fig. 2, after step 140, the method further includes the steps of:
Step 150, receiving suspected case marks added to the patient through a doctor terminal after the doctor verifies whether the patient is suffering from the disease corresponding to the hit first target keyword list.
Wherein the suspected case marker is a first marker or a second marker. After checking whether the patient is suffering from the disease corresponding to the first target keyword list according to the diagnosis and treatment information, a doctor can obtain a conclusion that the patient is really suffering from the corresponding disease and a conclusion that the patient is not suffering from the corresponding disease, and adds a corresponding suspected case mark for the patient through a doctor terminal, if the conclusion is really suffering from the corresponding disease, a first mark is added, and if the conclusion is not suffering from the corresponding disease, a second mark is added. Wherein the first marker may be marked in the manner of "disease type+disease name", such as "common disease+disease name", "chronic disease+disease name", "specific disease+disease name". And uploading the suspected case mark added by the doctor to an Internet hospital data center by the doctor terminal. Optionally, the doctor terminal may also remind the doctor to give the reason for marking when adding the suspected case mark.
Step 160, if the added suspected case mark is the first mark, uploading the case information of the patient to the national health information platform.
The first target keyword list may be a keyword list corresponding to a specific disease, so that when the diagnosis and treatment information of the patient hits the first target keyword list, it is necessary to upload the relevant case information to the national health information platform for management and control. Then, after receiving the suspected case mark uploaded by the doctor terminal, the internet hospital data center judges whether the suspected case mark belongs to the first mark, and if so, the case information of the patient to be treated is uploaded to the national health information platform. It should be noted that, in the foregoing step 130, the matching of the keyword list may be performed through the historical diagnosis and treatment information of the patient before the present visit, or the matching may be performed through the complaint information input by the patient during the appointment, or the matching may be performed through the complaint information uploaded by the doctor after the end of the present online inquiry, or the matching may be performed through the content of the online inquiry, that is, the form of the diagnosis and treatment information for keyword list matching in the present embodiment is not particularly limited, and may have various possible implementation manners, while in step 160, the case information uploaded to the national health information platform may be the complete diagnosis and treatment information including the content of the online inquiry of the patient, which may include the basic information, the historical diagnosis and treatment information, the complaint information, the content of the online inquiry of the patient, and so on. Of course, the case information may be some information that is specified to be uploaded by the national health information platform.
The national health information platform is an official information platform which is uniformly managed by the national Wei Jian Committee, and the case information of the patient added with the first mark is uploaded to the platform. For special diseases which are mainly controlled, such as new coronavirus pneumonia which is currently in a bad condition, the national health information platform takes the patients as main control objects after receiving corresponding case information, and carries out subsequent suspected case investigation, diagnosis, isolation and treatment work according to basic information of patients who are treated.
Optionally, for other common diseases and chronic diseases, the national health information platform only records the corresponding case information in the electronic health file corresponding to the patient after receiving the information.
Optionally, on the basis of the step 160, in order to simplify the operation of the doctor and prevent omission, in the case that the doctor terminal receives the mark reminding and then does not add the suspected case mark, the technical scheme can also be that the case information of the patient to be treated can be uploaded to the national health information platform when the suspected case mark added by the doctor is the first mark or the patient to be treated is not added with the suspected case mark. Wherein, when the doctor does not add the suspected case mark, the mark deletion rate statistics of the doctor are counted for checking the doctor.
It should be understood that by the above technical scheme, diagnosis and treatment information of an on-line re-diagnosis patient in an internet hospital can be accurately screened, diseases possibly suffered by the patient are found by matching the diagnosis and treatment information with a keyword list, then a doctor is reminded of paying attention to and verifying the diagnosis and treatment information by a doctor terminal, and the result obtained after matching is not used for representing the final diseased result of the patient. The method can assist doctors to accurately screen diseases of patients, and meanwhile, the doctors can be prevented from missing key information in the diseases, so that a reminding effect is achieved.
Further, after step 130, the screening method provided in this embodiment further includes, if the diagnosis and treat information hits at least one symptom keyword in the second target keyword list in the at least one keyword list, determining whether the disease corresponding to the hit second target keyword list includes a disease corresponding to the main diagnosis in the diagnosis and treat information, and when the disease corresponding to the main diagnosis in the diagnosis and treat information is not included, sending a symptom alert to a doctor terminal to remind the doctor to verify whether the doctor has the disease corresponding to the hit second target keyword list.
In this embodiment, the symptom rule base includes a second target keyword list, where the second target keyword list may be a keyword list corresponding to a common disease or a chronic disease in the internet hospital diagnosis and treatment directory. In general, the doctor terminal is not required to be initiated for reminding the common diseases and chronic diseases, so that symptom reminding can be generated when the hit diseases are consistent with the main diagnosis generated when the patient is in an online clinic before, and the doctor for re-diagnosis can directly prescribe the disease and the doctor for re-diagnosis, and symptom reminding can be generated when the hit diseases are inconsistent with the original main diagnosis of the patient so as to remind the doctor.
Specifically, when the diagnosis and treatment information of the patient at the treatment position hits at least one symptom keyword in one or more second target keyword lists, the internet hospital data center further judges whether one or more diseases corresponding to the hit one or more second target keyword lists include the diseases corresponding to the main diagnosis in the diagnosis and treatment information of the patient at the treatment position, if the diseases corresponding to the main diagnosis in the diagnosis and treatment information of the patient at the treatment position are not included, the symptom of the patient at the treatment position can be changed, and then symptom reminding is generated to remind a doctor to verify whether the patient at the treatment position has the disease corresponding to the hit second target keyword list and verify whether the main diagnosis of the patient at the treatment position actually changes. The technical scheme can be suitable for screening of diseases such as special diseases, common diseases and chronic diseases in an Internet hospital, wherein for the special diseases, a doctor can be reminded to check in time after screening, and case information of a patient after checking and confirming by the doctor is uploaded to the national health information platform in time, so that follow-up supervision work is facilitated in time, for the common diseases and the chronic diseases, screening results inconsistent with main diagnosis after screening can be reminded to the doctor in time, and the doctor is prevented from missing key information during review, so that the illness state is caused to be wrong.
The technical scheme is particularly suitable for screening the current new coronavirus pneumonia. For the off-line consultation crowd, when doctors find that the clinical manifestation and the laboratory examination result of the patients have obvious symptoms of new coronavirus pneumonia, the patients can be directly treated and isolated, but for the Internet hospitals, the problems that the patients cannot be subjected to facial diagnosis, the isolation difficulty is high and the like exist. In this embodiment, the discrimination of the re-diagnosis qualification is performed on the patient through steps 110-120, after the patient is identified to be able to perform on-line re-diagnosis in the internet hospital, screening of diagnosis and treatment information is performed, and then the doctor performs targeted verification on the disease suffered by the patient according to the screening result, so that the efficiency is high, the accuracy of the obtained result is high, meanwhile, by adding a corresponding suspected case mark for the patient, the information of the patient suffering from the special disease risk is uploaded to the platform, so that corresponding clues can be provided for early warning and finding of the infection by the government, and meanwhile, for important management and control of the disease taking new coronavirus pneumonia as an example, the investigation and isolation can be performed off-line in time according to the basic information of the patient, so as to solve the pain point of difficult isolation in the internet hospital.
In a specific embodiment, the mark deletion rate can be used as an examination index for doctors, and when the mark deletion rate exceeds a preset normal value interval, an early warning prompt is sent to a doctor terminal to prompt the doctors to positively and timely add corresponding suspected case marks after diagnosis and treatment are completed. The specific flow chart is shown in fig. 3, and comprises:
Step 210, counting the number of times of sending the mark reminding to the doctor terminal in a preset period and the number of times that the doctor terminal does not add the suspected case mark after receiving the mark reminding.
Wherein the period may be set to one day, one week or one month. A doctor terminal within a week will be described as an example. And counting the number of times of sending the mark reminding to the doctor terminal in the week after the week is over, and the number of times of not adding the suspected case mark after the doctor terminal receives the mark reminding. For the convenience of statistics, after the current visit of the patient is finished, if the doctor terminal does not upload the corresponding suspected case mark, the mark state of the patient can be set as 'mark missing', and the number of times of not adding the suspected case mark is obtained by counting the number of 'mark missing'.
And 220, calculating the ratio of the number of times of not adding the suspected case mark to the number of times of sending the mark reminding to obtain the mark missing rate.
And 230, sending an early warning prompt to the doctor terminal when the mark missing rate exceeds a preset normal value interval.
Further, as shown in fig. 4, the screening method of the internet hospital diagnosis and treatment information provided by the embodiment of the application further includes the following steps:
Step 310, acquiring the inquiry content between the patient and the doctor in the current doctor treatment process transmitted by the doctor terminal.
In the online consultation process of the Internet hospital, the patient can select a text consultation mode, namely, a doctor is inquired in a text communication mode, and also can select a voice consultation mode, namely, voice communication is carried out with the doctor. The inquiry contents in step 310 include all communication contents between the patient and doctor in the present treatment process, and can be obtained in the following two ways:
(1) If the patient is selected to be diagnosed by text, receiving the inquiry content transmitted by the doctor terminal, wherein the inquiry content is obtained by integrating text content between the patient and the doctor in the text inquiry process by the doctor terminal.
(2) If the patient is in a doctor's visit, the voice content between the patient and the doctor is received in the voice consultation process transmitted by the doctor terminal, then the voice-to-text interface is called, the received voice content of the two parties is converted into corresponding text content, and the text content is summarized to obtain the consultation content.
Step 320, matching the inquiry content with the sensitive words in the preset diagnosis and treatment phrase sensitive word list.
The internet hospital establishes a diagnosis and treatment term sensitive word list in advance so as to standardize the diagnosis and treatment term of doctors. The diagnosis and treatment term sensitive word list comprises at least one category of sensitive words, such as sensitive words with political tendency, sensitive words with violence tendency, unhealthy terms, non-civilized terms and the like.
And 330, if the inquiry content hits any sensitive word in the diagnosis and treatment word sensitive word list, sending a standard word prompt to a doctor terminal.
If the inquiry content between the patient and the doctor is hit in any sensitive word in the diagnosis and treatment word list, the method indicates that the patient or the doctor has sensitive words in the inquiry process, and then standard word reminding is generated for reminding the doctor of the diagnosis and treatment words used in the standard diagnosis and treatment process, so that the standard of the doctor to take the diagnosis and treatment words is realized.
In a more specific embodiment, the method step 130 includes acquiring historical diagnosis and treatment information of the patient to be treated before acquiring the content of the inquiry between the patient to be treated and the doctor in the present treatment process transmitted from the doctor terminal, and matching the historical diagnosis and treatment information with at least one keyword list in the symptom rule base.
In another more specific embodiment, the method step 130 includes matching the content of the inquiry with at least one keyword list in the symptom rule base after acquiring the content of the inquiry between the patient and the doctor in the present visit from the doctor terminal.
Based on this specific embodiment, the screening method of the internet hospital diagnosis and treatment information may include various application scenarios:
firstly, after a patient makes an appointment of on-line review and determines that the patient meets review qualification, the history diagnosis and treatment information of the patient is called, and the history diagnosis and treatment information is matched with at least one keyword list in a symptom rule base, if the patient is in the appointment, main complaint information (description of main symptoms related to the disease of the patient and duration time of the main complaint information) is actively input on an interface of a user terminal, the input main complaint information and the history diagnosis and treatment information can be matched with the keyword list. The complaint information uploaded by the user terminal can be that the user selects various presented complaint symptoms on the user terminal interface to obtain structured complaint information.
Second, after acquiring the inquiry content between the patient and the doctor in the present treatment process through step 310, extracting the complaint keywords from the inquiry content to form structured inquiry information, and matching the inquiry information with at least one keyword list in the symptom rule base.
Thirdly, after the present visit is completed, the doctor terminal uploads the complaint information of the patient, for example, the doctor selects a plurality of presented complaint symptoms on a doctor terminal page to obtain structured complaint information, and then matches the complaint information with at least one keyword list in a symptom rule base.
It can be understood that, step 130 and step 140 in the screening method of internet hospital diagnosis and treatment information provided in the embodiment of the present application may be performed before the patient makes a diagnosis, so as to provide a doctor with a reference during the diagnosis in advance, or may be performed after the patient makes the diagnosis, so as to avoid that the doctor omits some data and does not find a certain condition of the patient in time.
Further, after diagnosis and treatment is completed, the established internet hospital informatization system sends a prompt to a doctor terminal to remind the doctor of making a prescription and selecting, wherein the prompt comprises a successful re-diagnosis (prescription), a successful re-diagnosis (inquiry/consultation) and a non-re-diagnosis (cross-department transfer/other). The physician decides whether to prescribe the patient according to the on-line consultation result.
If the prescription can be made, the system invokes the function of "electronic prescription making" (namely the function (1) deployed in the previous step), completes the making of the electronic prescription on line and carries out electronic signature, selects the success of review (prescription) and starts prescription examination, if the prescription is not made, selects the success of review (inquiry/consultation) or the non-review (cross-department change/others) according to the situation, and the diagnosis and the treatment are finished.
For the situation of prescribing, after the system recognizes that the electronic prescription of the doctor is prescribed, the prescribed prescription is automatically pushed to a ' pharmacist's auditing platform ' (namely the function (3) deployed in the previous step), the pharmacist finishes the prescription auditing and issues auditing comments, the pharmacist takes a gray list of medicines established in the previous step of deployment work as a prescription auditing basis, and if medicines in the list exist, the prescription auditing is not passed. If the audit opinion is 'not passed', the doctor re-adjusts the prescription according to the audit opinion and re-performs prescription audit.
If the audit opinion is 'pass', the system automatically transmits the prescription to a prescription circulation platform (namely the function (4) deployed in the previous step), the prescription circulation platform recommends relevant pharmacy information according to the position of the patient, the patient finishes online payment, the system records and counts the cost information of the patient, distinguishes medical insurance payment details and non-medical insurance payment details, and reminds the patient to take medicines offline or finish medicine distribution through a third party.
The above matters provided in this embodiment establish a supervision flow in diagnosis and treatment in the internet hospital. In addition, each operation step of supervision in diagnosis can be time stamped, and the diagnosis and treatment duration of the patient can be recorded. And a reasonable section of the diagnosis time length is arranged in the system, if the time length is outside the reasonable section, an abnormal prompt is sent to a doctor, and the doctor is asked to reasonably schedule the diagnosis time when the diagnosis time length is too short/long.
Furthermore, the embodiment of the application also establishes a post-diagnosis supervision flow of the internet hospital diagnosis and treatment. The method comprises the following steps:
(1) Patient satisfaction evaluation
After the diagnosis and treatment is finished, the system automatically pushes a patient satisfaction score table to a patient, and reminds the patient to complete filling and submitting in time. The system may implement staged patient satisfaction related index analysis including effective questionnaire recovery, physician satisfaction averaging score, etc.
(2) Patient complaint advice
After the patient satisfaction evaluation is completed, the system automatically pushes a patient complaint advice query to the patient, and the complaint advice fed back by the patient is summarized into a patient complaint advice list, so as to assist in improving the diagnosis and treatment service quality of the Internet hospital.
(3) Statistical analysis of diagnosis and treatment results
The doctor/pharmacist finishes the work content of the treatment shift, clicks the 'exit' button on the doctor terminal, and the Internet treatment of the shift is finished. The system automatically records and counts the information such as the time of consultation, the re-diagnosis result and the like in the diagnosis and treatment process of all patients in the shift, can realize the statistics of related index values such as the accumulated time length of consultation, the accumulated number of consultations, the average time length of consultation, the success rate of re-consultation, the mark missing rate and the like of the shift, judges according to a preset normal value interval of related index, and sends early warning reminding to a doctor terminal to remind the doctor if the index value exceeds the normal value interval. The calculation method of the marker deletion rate is described above, and is not described here.
In summary, in the application, according to the internet hospital construction requirements in the related documents, the whole flow supervision before diagnosis, during diagnosis and after diagnosis of the internet hospital is established, and multiple dimensions of multiple roles (doctors, pharmacists, patients) and multiple behaviors (diagnosis, medication and the like) are covered, so that the whole intelligent supervision of diagnosis quality and doctor behaviors is realized, and the medical service quality can be effectively improved. Meanwhile, the method can complete timely report of suspected case information of the special diseases so as to assist in comprehensive screening and regional collaborative management of the special diseases.
Based on the same inventive concept, the embodiment of the application also provides a screening device for internet hospital diagnosis and treatment information, as shown in fig. 5, comprising:
the review appointment module 410 is configured to receive a review appointment request of a patient in the internet hospital;
a review qualification determining module 420, configured to determine whether the patient meets the qualification of review in the internet hospital according to the review appointment request;
An information obtaining module 430, configured to obtain diagnosis and treat information of the patient after determining that the patient meets the qualification of the re-diagnosis, and match the diagnosis and treat information with at least one keyword list in a symptom rule base, where each keyword list includes a symptom keyword of a specific disease;
And the information screening module 440 is configured to send a labeling reminder to the doctor terminal when the diagnosis and treatment information hits at least one symptom keyword in the first target keyword list in the at least one keyword list, where the labeling reminder includes a name of a disease corresponding to the hit first target keyword list, so as to remind the doctor to verify whether the patient is suffering from the disease corresponding to the hit first target keyword list, and label the patient after verification.
Optionally, the apparatus further includes:
the mark receiving module is used for receiving a suspected case mark added to the patient through a doctor terminal after a doctor verifies whether the patient is suffering from the disease corresponding to the hit first target keyword list;
And the mark judging module is used for uploading the case information of the patient to the national health information platform when the added suspected case mark is the first mark.
Optionally, the apparatus further includes:
The main diagnosis judging module is used for judging whether the diseases corresponding to the hit second target keyword list contain the diseases corresponding to the main diagnosis in the diagnosis and treatment information or not when the diagnosis and treatment information hits at least one symptom keyword in the second target keyword list in the at least one keyword list;
And the symptom reminding module is used for sending symptom reminding to a doctor terminal when the disease corresponding to the main diagnosis in the diagnosis and treatment information is not contained in the disease corresponding to the hit second target keyword list so as to remind the doctor of verifying whether the doctor has the disease corresponding to the hit second target keyword list.
Optionally, the apparatus further includes:
the inquiry content acquisition module is used for acquiring inquiry content between the patient to be diagnosed and the doctor in the current diagnosis process transmitted by the doctor terminal;
The sensitive vocabulary matching module is used for matching the inquiry content with sensitive vocabularies in a preset diagnosis and treatment phrase sensitive vocabulary list;
The term reminding module is used for sending standard term reminding to the doctor terminal when the inquiry content hits any sensitive word in the diagnosis and treatment term sensitive word list, and the standard term reminding is used for reminding the doctor of the diagnosis and treatment term used in the standard diagnosis and treatment process.
Optionally, the inquiry content acquisition module is specifically configured to receive the inquiry content transmitted from the doctor terminal, where the inquiry content is obtained by integrating text content between the patient and the doctor in the current text inquiry process by the doctor terminal, or receive speech content between the patient and the doctor in the current speech inquiry process transmitted from the doctor terminal, convert the speech content into text content, and integrate the text content to obtain the inquiry content.
Optionally, the apparatus further includes:
The marking statistics module is used for counting the times of sending the marking prompt to the doctor terminal in a preset period and the times of not adding the suspected case mark after the doctor terminal receives the marking prompt;
The early warning reminding module is used for calculating the ratio of the number of times of the non-added suspected case marks to the number of times of sending the mark reminding to obtain the mark missing rate, and sending early warning reminding to the doctor terminal when the mark missing rate exceeds a preset normal value interval.
It should be understood that the above-mentioned screening device for internet hospital diagnosis and treatment information is the same as the basic principle and the technical effects of the screening method for internet hospital diagnosis and treatment information in the previous method embodiment, and for brevity, reference may be made to the corresponding contents in the above-mentioned method embodiment for the sake of brevity.
On the basis of the above embodiments, the present application further provides a storage medium, where computer instructions are stored, and when the computer instructions are executed by a computer, the computer executes the foregoing screening method for internet hospital diagnosis and treatment information.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above described embodiment of the apparatus is only illustrative, e.g. the division of the units is only one logical function division, and there may be other ways of dividing in practice. Furthermore, functional modules in various embodiments of the present application may be integrated together to form a single portion, or each module may exist alone, or two or more modules may be integrated to form a single portion.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and variations will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. The screening method of the internet hospital diagnosis and treatment information is characterized by comprising the following steps of:
receiving a re-diagnosis reservation request of a patient in the treatment at an Internet hospital;
determining whether the patient meets the qualification of the re-diagnosis in the Internet hospital according to the re-diagnosis reservation request;
After determining that the patient in treatment meets the qualification of re-diagnosis, acquiring diagnosis and treatment information of the patient in treatment, and matching the diagnosis and treatment information with at least one keyword list in a symptom rule base, wherein each keyword list comprises symptom keywords of a specific disease;
If the diagnosis and treatment information hits at least one symptom keyword in a first target keyword list in the at least one keyword list, a marking prompt is sent to a doctor terminal, the marking prompt comprises names of diseases corresponding to the hit first target keyword list, so that a doctor is reminded of verifying whether the patient in treatment has the diseases corresponding to the hit first target keyword list or not, marking is carried out after verification, if the patient in treatment has the corresponding diseases, a first mark is added, if the patient in treatment does not have the corresponding diseases, a second mark is added, and the first target keyword list is a whole keyword list or a keyword list corresponding to the special diseases.
2. The method of claim 1, wherein after sending the marker alert to the doctor terminal, the method further comprises:
Receiving a suspected case mark added to a patient to be diagnosed through a doctor terminal after checking whether the patient to be diagnosed suffers from a disease corresponding to a first target keyword list;
And if the added suspected case mark is a first mark, uploading the case information of the patient to a national health information platform.
3. The method of claim 1, wherein after matching the diagnosis and treatment information with at least one keyword list in a symptom rule base, the method further comprises:
If the diagnosis and treatment information hits at least one symptom keyword in a second target keyword list in the at least one keyword list, judging whether the hit disease corresponding to the second target keyword list contains the disease corresponding to the main diagnosis in the diagnosis and treatment information or not;
And when the disease corresponding to the main diagnosis in the diagnosis and treatment information is not contained, sending a symptom prompt to a doctor terminal so as to prompt the doctor to verify whether the patient suffers from the disease corresponding to the second target keyword list.
4. A method according to any one of claims 1-3, wherein the method further comprises:
acquiring inquiry contents between a patient to be diagnosed and a doctor in the current diagnosis process transmitted by a doctor terminal;
Matching the inquiry content with sensitive words in a preset diagnosis and treatment term sensitive word list;
and if the inquiry content hits any sensitive word in the diagnosis and treatment word sensitive word list, sending a standard word prompt to a doctor terminal, wherein the standard word prompt is used for prompting a doctor to standard diagnosis and treatment words used in the diagnosis and treatment process.
5. The method according to claim 4, wherein the acquiring the content of the inquiry between the patient and the doctor in the present visit from the doctor terminal includes:
receiving the inquiry content transmitted by the doctor terminal, wherein the inquiry content is obtained by the doctor terminal summarizing the text content between the patient and the doctor in the text inquiry process, or
And receiving voice contents between a patient to be diagnosed and a doctor in the voice consultation process transmitted by the doctor terminal, converting the voice contents into text contents, and summarizing the text contents to obtain the consultation contents.
6. The method according to claim 2, wherein the method further comprises:
Counting the number of times of sending the marking prompt to the doctor terminal in a preset period, wherein the number of times that the doctor terminal does not add the suspected case mark after receiving the marking prompt;
Calculating the ratio of the number of times of adding the suspected case mark to the number of times of sending the mark reminding to obtain the mark missing rate; and when the mark missing rate exceeds a preset normal value interval, sending an early warning prompt to the doctor terminal.
7. The method of claim 4, wherein the step of obtaining diagnosis and treatment information of the patient at the doctor and matching the diagnosis and treatment information with at least one keyword list in the symptom rule base comprises obtaining historical diagnosis and treatment information of the patient at the doctor and matching the historical diagnosis and treatment information with at least one keyword list in the symptom rule base before obtaining inquiry contents between the patient at the doctor and the doctor in the current diagnosis and treatment process transmitted by the doctor terminal.
8. The method of claim 4, wherein the step of obtaining diagnosis and treatment information of the patient at the doctor and matching the diagnosis and treatment information with at least one keyword list in the symptom rule base includes matching the content of the inquiry with at least one keyword list in the symptom rule base after obtaining the content of the inquiry between the patient at the doctor and the doctor in the present diagnosis process transmitted from the doctor terminal.
9. The utility model provides a screening device of internet hospital diagnosis and treatment information which characterized in that includes:
The re-diagnosis reservation module is used for receiving a re-diagnosis reservation request of the patient in the internet hospital;
the re-diagnosis qualification judging module is used for determining whether the patient meets the qualification of re-diagnosis in the Internet hospital according to the re-diagnosis reservation request;
the information acquisition module is used for acquiring diagnosis and treatment information of the patient after determining that the patient meets the qualification of the re-diagnosis, and matching the diagnosis and treatment information with at least one keyword list in the symptom rule base, wherein each keyword list comprises symptom keywords of a specific disease;
The information screening module is used for sending a mark reminding to a doctor terminal when the diagnosis and treatment information hits at least one symptom keyword in a first target keyword list in the at least one keyword list, wherein the mark reminding comprises names of diseases corresponding to the hit first target keyword list so as to remind a doctor of verifying whether the patient is suffered from the diseases corresponding to the hit first target keyword list or not, marking is carried out after the verification, if the conclusion is that the patient is suffered from the corresponding diseases, adding a first mark, if the conclusion is that the patient is not suffered from the corresponding diseases, adding a second mark, and the first target keyword list is all keyword lists or keyword lists corresponding to special diseases.
10. A storage medium storing computer instructions which, when executed by a computer, cause the computer to perform the method of any one of claims 1-8.
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