WO2020082804A1 - Medical data classified storage method and apparatus - Google Patents

Abstract

Embodiments of the present invention disclose a medical data classified storage method and apparatus. The medical data classified storage method comprises: receiving a storage request for target medical data, the storage request being used for requesting storage of the target medical data; auditing the target medical data, and determining the target medical data as qualified medical data; classifying the qualified medical data according to a data classification model to obtain a standardized classification result; scoring the qualified medical data according to the standardized classification result to obtain a scoring result of the qualified medical data; and performing classified storage on the qualified medical data according to the scoring result, the classified storage comprising online storage, near-line storage, and archive storage. By using the present invention, medical data is audited, classified, and scored, and then classified storage is performed on the medical data according to a scoring result, so that the accuracy of classified storage for the medical data is improved, data operation space consumption is reduced, and data multiplexing efficiency is improved.

Description

Medical data classification storage method and device

This application requires the priority of the Chinese patent application filed on October 23, 2018 in the Chinese Patent Office, with the application number 2018112363517 and the application name "a medical data classification storage method and device", the entire content of which is incorporated by reference in this document Applying.

Technical field

The present invention relates to the field of data processing, and in particular to a method and device for classifying and storing medical data.

Background technique

With the rapid development of information technology, more and more hospitals in China are accelerating the construction of medical information platform to improve the hospital's service level and core competitiveness. The use of medical information platform can help improve the efficiency of doctors, provide patients with a better medical experience, and greatly help improve the quality of medical services.

However, the medical data is very rich, including the patient's diagnosis request, medical experience, diagnosis data, prescription data, drug information, medical insurance reimbursement data, rehabilitation result information, health examination information, etc. These massive data are directly based on the chronological order of data generation Indifferent storage, or storage based solely on functional uses, will take up a lot of storage space and is not conducive to data reading and reuse, which is a waste of storage space and a waste of time to access data. Therefore, there is an urgent need to find a more scientific medical data storage method to reduce the time of data reuse and reduce the occupation of data running space by massive data.

Summary of the invention

Embodiments of the present invention provide a medical data classification storage method and device, which can classify qualified medical data that has passed the review according to a data classification model, and then score the classification results, classify and store the medical data according to the score results, and improve the The classification accuracy of medical data improves the accuracy of classification storage of medical data, reduces the consumption of data running space, and improves the efficiency of data multiplexing.

A first aspect of an embodiment of the present invention provides a medical data classification storage method. The medical data classification storage method includes:

Receiving a storage request for target medical data, where the storage request is used to request storage of the target medical data;

Review the target medical data and determine that the target medical data is qualified medical data;

Classify the qualified medical data according to the data classification model to obtain standardized classification results;

Scoring the qualified medical data according to the standardized classification result to obtain the scoring result of the qualified medical data;

According to the scoring result, the qualified medical data is classified and stored, and the classified storage includes online storage, near-line storage, or archive storage.

In an optional case, the review of the target medical data to determine that the target medical data is qualified medical data includes:

Connect to the server of the competent department of the target medical data, and obtain the result of the storability review of the target medical data by the server of the department in charge of the target medical data, the storability review includes the correctness of the target medical data, Review of reasonableness, privacy or correspondence;

Connect to the server of the information security department, and obtain the security audit result of the target medical data by the server of the information security department;

When both the acquired storability audit result of the target medical data and the security audit result indicate that the target medical data passes the audit, it is determined that the target medical data is qualified medical data.

In an optional case, the classifying the qualified medical data according to a standard data classification model to obtain a standardized classification result includes:

Obtain key information of the qualified medical data, the key information includes data keywords, data quantization values, and initiator information of the storage request;

Import key information of the qualified medical data into the data classification model, perform key information matching of the qualified medical data, and obtain a standardized classification result according to the matching result.

In an optional case, before classifying the qualified medical data according to a data classification model, the method further includes creating a data classification model, specifically including:

Medical data is divided into fixed topics according to data functions, and the fixed topics include medical topics, medical topics, medical insurance topics, or health topics;

For the fixed subject, a data classification is established according to the data classification principle of the standardized enterprise information technology system, and the data classification includes production transaction type data, service support type, and system data;

Obtain the quantization standard of the data classification, and classify the quantization standard according to different quantization value ranges corresponding to the quantization standard to obtain the quantization level of the data classification;

The data classification model of the standardized enterprise information technology system is established according to the fixed subject, the data classification, and the quantization level of the data classification.

In an optional case, the scoring the qualified medical data according to the standardized classification result to obtain the scoring result of the qualified medical data includes:

Acquiring the standardized classification result corresponding to the qualified medical data, including the target fixed subject corresponding to the standardized classification result, the target medical data classification, and the quantization level of the target medical data classification;

Obtain the basic score of the target fixed subject, the weight of the target medical data classification, and the graded score of the quantization level of the target medical data classification, and weight and sum them to determine the score of the qualified medical data result.

In an optional case, the classifying and storing the qualified medical data according to the scoring result includes:

Setting a first score line and a second score line, wherein the first score line is smaller than the second score line;

Archive and store the qualified medical data whose score result is less than the first score line;

Store the qualified medical data whose score is not less than the first score line and less than the second score line in near-line storage;

Store the qualified medical data whose score result is not less than the second score line online.

In an optional case, the method further includes:

Adding a classification label to the qualified medical data stored in the classification, the classification label including a standardized classification result corresponding to the qualified medical data and its corresponding target fixed subject, target medical data classification, and target medical data classification quantization level;

Adding a time tag to the classified and stored qualified medical data, the time tag is used to identify when the qualified medical data completes the classified storage;

When receiving a request to obtain qualified medical data stored in the classification, the qualified medical data is acquired according to the classification label and the time label.

A second aspect of an embodiment of the present invention provides a medical data classification storage device. The medical data classification storage device includes:

A requesting unit for receiving a storage request for target medical data, the storage request for requesting storage of the target medical data;

An auditing unit for reviewing the target medical data to determine that the target medical data is qualified medical data;

A classification unit, configured to classify the qualified medical data according to a data classification model to obtain a standardized classification result;

A scoring unit for scoring the qualified medical data according to the standardized classification result to obtain the scoring result of the qualified medical data;

The storage unit is configured to classify and store the qualified medical data according to the scoring result, and the classified storage includes online storage, near-line storage, or archive storage.

A third aspect of the embodiments of the present invention provides an electronic device, including a processor, a memory, a communication interface, and one or more programs. The one or more programs are stored in the memory and are configured by all The processor executes, and the program includes instructions for performing the steps in any method of the first aspect.

A fourth aspect of the embodiments of the present invention provides a non-volatile computer-readable storage medium that stores a computer program for electronic data exchange, wherein the computer program causes the computer to perform the steps described in any method of the first aspect Instructions.

It can be seen that in the medical data classification and storage method described in the embodiments of the present invention, a storage request for target medical data is first received, and the target medical data is reviewed to determine that the target medical data is qualified medical data; The classification model is classified to obtain standardized classification results; then the qualified medical data is scored according to the standardized classification results, and the qualified medical data is scored; finally, the qualified medical data is classified and stored according to the scoring results. In this process, since classified storage includes online storage, near-line storage, and archive storage, this classification storage method can reduce the occupation of data running space, and at the same time, through the classification and scoring of medical data, improve the recovery of medical data. The use efficiency is convenient for querying and obtaining corresponding medical data according to classification.

BRIEF DESCRIPTION

In order to more clearly explain the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, without paying any creative labor, other drawings can be obtained based on these drawings.

1 is a schematic flowchart of a medical data classification storage method provided by an embodiment of the present invention;

2 is a schematic flowchart of another medical data classification storage method provided by an embodiment of the present invention;

3 is a schematic flowchart of another medical data classification storage method provided by an embodiment of the present invention;

4 is a schematic flowchart of another medical data classification storage method provided by an embodiment of the present invention;

5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention;

6 is a structural block diagram of a medical data classification storage device provided by an embodiment of the present invention.

detailed description

The technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

Reference herein to "embodiments" means that specific features, structures, or characteristics described in connection with the embodiments may be included in at least one embodiment of the present invention. The display of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art understand explicitly and implicitly that the embodiments described herein can be combined with other embodiments.

The following describes the embodiments of the present invention in detail.

Please refer to FIG. 1. FIG. 1 is a schematic flowchart of a medical data classification storage method according to an embodiment of the present invention. As shown in FIG. 1, the medical data classification storage method includes:

101. Receive a storage request for target medical data, where the storage request is used to request storage of the target medical data.

With the rapid development of information technology, more and more medical institutions in China are accelerating the construction of medical information platform to improve the service level and core competitiveness of hospitals. The use of medical information platform can help improve the efficiency of doctors, provide patients with a good experience, and greatly help improve the quality of medical services.

The medical data content is very rich, including the patient's diagnosis request, medical experience, doctor's diagnosis result, prescription data, drug information, medical insurance reimbursement data, rehabilitation result information, health examination information, etc. When the user applies to the medical information platform to store these data At the time, the server of the medical information platform receives the user's storage request for the target medical data. The target medical data is the medical data that the user wants to store. The storage request may be a data packet that combines the request instruction and the target medical data, or it may be Separate request instruction, and then pass the request instruction on the server side of the medical information platform, then send the target medical data to it; or the storage request can be sent to the server of the medical information platform after the separate request instruction is passed Fixed address, obtain target medical data from a fixed address.

102. Review the target medical data and determine that the target medical data is qualified medical data.

When receiving a storage request for the target medical data on the server side of the medical information platform, the target medical data must be reviewed first. Unsafe or unqualified bad medical data cannot be stored to avoid pollution to the database that stores the medical data , To avoid the large amount of manpower and time consumption caused by the subsequent discovery, modification or deletion of bad medical data.

Optionally, the target medical data is reviewed to determine that the target medical data is qualified medical data, including: connecting to the server of the competent department of the target medical data, and obtaining the data of the target medical data from the server of the competent department Storability review results, the storability review includes a review of the correctness, rationality, privacy, or correspondence of the target medical data; connecting to the information security department server, and obtaining the information security department server for the The result of the safety audit of the target medical data; when both the storability audit result of the target medical data and the safety audit result obtained indicate that the target medical data passes the audit, it is determined that the target medical data is qualified Medical data.

When reviewing the target medical data, you first need to connect to the server of the competent department of the target medical data, and then obtain the storability review results of the target department's server for the target medical data. The competent department server of the target medical data can correspond to the competent department server corresponding to the initiator of the target medical data storage request, for example, the doctor initiates the target medical data storage request, the corresponding competent department server is the doctor's competent department server, and if it is For the target data storage request initiated by the system maintenance personnel, the corresponding department server is the department server of the operation and maintenance personnel. The storability review includes the review of the correctness, rationality, privacy or correspondence of the target medical data, where correctness indicates the correctness of the data content, that is, there is no data that records errors, and rationality indicates that there is no forged Data, privacy means that the data is authorized for privacy. Some data that is not authorized cannot be stored. Correspondence means the correspondence between the data that issued the storage request and the server of the competent department. Then connect to the server of the information security department to conduct a security review of the target medical data, including whether there are security threats such as Trojan viruses, injection attacks, malicious file execution, or unsafe communication in the medical data, and issue security reminders to the data with security threats , Discard the corresponding target medical data, or clean the target medical data to obtain safe target medical data. When the obtained storability audit result and safety audit result both indicate that the target medical data passes the audit, the target medical data is determined to be qualified medical data.

103. Classify the qualified medical data according to a data classification model to obtain a standardized classification result.

Optionally, the qualified medical data is classified according to the standard data classification model to obtain standardized classification results, including: obtaining key information of qualified medical data, the key information includes data keywords, data quantization values, and storage request originator information; Import the key information of qualified medical data into the data classification model, match the key information of qualified medical data, and obtain standardized classification results according to the matching results.

Specifically, the information of medical data is very rich, and it needs to be classified for subsequent classification and storage. The medical data includes key information such as data keywords, data quantization values, and storage request initiator information, as shown in Table 1:

Table 1 Key information of qualified medical data

Generally, to classify data, first determine the subject of the data based on the data keywords of the qualified medical data, then further classify the data based on the storage request initiator information, and finally determine the data based on the data quantization value The importance of medical data, so after obtaining the key information of medical data, import it into the data classification model to obtain standardized classification results.

Optionally, before classifying the qualified medical data according to the data classification model, the method further includes creating a data classification model, which specifically includes: dividing the qualified medical data into fixed topics according to the data function, and the fixed topics include medical topics and medical topics , Medical insurance theme and health theme; for qualified medical data in a fixed theme, establish a data classification according to the data classification principle of the standardized enterprise information technology system. The data classification includes production transaction data, service support and system data; obtain data Classification quantification standards, and grading the quantization standards according to the different quantization value ranges corresponding to the quantization standards to obtain the quantization level of the data classification; establish the data classification of the standardized enterprise information technology system according to the fixed subject, data classification, and data classification model.

The classification of qualified medical data is based on the data classification model, so the establishment of the data classification model of medical data is crucial. Because the medical data is very rich in content and has a wide range of meanings, including the patient ’s diagnosis request, medical experience, doctor ’s diagnosis result, prescription data, drug information, medical insurance reimbursement data, rehabilitation result information, health checkup information, etc. These contents should first be classified into four fixed themes according to their uses and functions: medical themes, medical themes, medical insurance themes, and health themes. Among them, medical topics include patient registration and treatment, doctors' diagnosis and prescribing medicine, etc .; medical topics include the applicable symptoms of drugs, drug ingredients and drug research and development; medical insurance topics include medical insurance policyholder information, insurance grade, reimbursement ratio and reimbursement amount ; Health topics include the patient's medical examination information, daily work and rest, diet maintenance, sports and fitness information. The medical insurance data in each fixed theme is then established according to the data classification principle of the standardized enterprise information technology system to obtain production transaction data, service support data and system data. Among them, the production transaction data is the data generated and used by the various IT support systems of the enterprise, that is, the interface data and structural data when constructing the medical information platform, and the service support data is the data collected by each production system and after mining and processing. The formed information data, that is, the service data generated when the medical information platform interacts with the user, the system data is the data generated for the IT development process, including the log data or temporary data generated during the use of the medical information platform. Finally, each data classification is quantified by standard classification to obtain the quantization level of the data classification.

Taking the medical theme in the fixed medical theme as an example, the data classification model established is shown in Table 2:

Table 2 Data classification model

For the medical theme data, the three-level data classification model shown in Table 2 is obtained. Similarly, for the medical theme, medical insurance theme, and health theme, the three-level data classification model shown in Table 2 can also be established. In addition, after obtaining the quantization standards for data classification, it is also necessary to classify the quantization standards according to the different quantization value ranges corresponding to the quantization standards, as shown in Table 3:

Table 3 Quantitative standard classification of data classification

For the production transaction data, service support data and system data, the quantization standards can be graded as shown in Table 3. According to the different quantization value ranges corresponding to the quantization standards of the data classification, the quantization standards are graded to obtain the quantification of the data classification grade.

After the data classification model is established, the qualified medical data is classified according to the data classification model, which can be classified by keyword matching. For example, each category in the data classification model has its keyword tag, qualified medical data Match these keyword tags. It can also be combined through logical matching and keyword matching. For example, for the qualified medical data in Table 1, the storage request originator is "Zhang XX", and the service department and position corresponding to "Zhang XX", such as "heart surgery, physician", can be determined by logical matching. The fixed theme corresponding to the medical data of is "medical theme"; and its data keyword is "outpatient checklist", which matches the keyword label of "service-supported data", so its data is classified as "service-supported" Type data ". Finally, the corresponding quantization level can be obtained by matching the quantization value of the data in Table 1 with the quantization value range in Table 3 for the corresponding quantization level acquisition. Finally, the standardized classification results of qualified medical data in Table 1 are: medical theme-service-supported data-importance: important-access frequency: frequent-access performance requirements-access performance requirements: higher than-data volume: small.

It can be seen that in the embodiment of the present invention, by creating a data classification model, and then classifying qualified medical data according to the data archiving model, a standardized classification result is obtained, which improves the classification efficiency of medical data, and because the data archiving model has a three-layer classification The standard makes the classification results of medical data more accurate and more internal logic, which is convenient for the subsequent reuse of medical data.

104. Score the qualified medical data according to the standardized classification result to obtain a score result of the qualified medical data.

The scoring result of medical data is used to describe its importance and real-time. The more important and real-time data, the higher the score. According to step 103, a standardized classification result of qualified medical data has been obtained, and each classification directory in the standardized classification result has its corresponding score or weight, and the following score relationship can be obtained: medical subject basic score> medical subject basis Score> Basic score for medical insurance theme> Basic score for health theme; Service-supported data weights ≥Production and transactional data weights> System data weights; p1> p2> p3, s1> s2, t1> t2, d1> d2> d3. Then, the qualified medical data is scored according to the standardized classification result, and the score result of the qualified medical data is obtained.

Optionally, the qualified medical data is scored according to the standardized classification result to obtain the score result of the qualified medical data, including: obtaining the standardized classification result corresponding to the qualified medical data, including the target fixed subject corresponding to the standardized classification result, the target medical data classification and Quantification level of the target medical data classification; obtain the basic score of the target fixed topic, the weight of the target medical data classification and the grading score of the quantization level of the target medical data classification, and weighted and sum it to determine the score of qualified medical data result.

For the qualified medical data in Table 1, the corresponding standardized classification results have been obtained, as follows: medical theme-service-supported data-importance: important-visit frequency: frequent-visit performance requirements-visit performance requirements: higher than- Data volume: small. It includes the fixed target of the target corresponding to the qualified medical data, the classification of the target medical data and the quantization level of the classification of the target medical data. The target fixed topic has its corresponding basic score, the target medical data classification has its corresponding weight, and the quantified level of the target medical data classification has its grading score. Weighting and summing them, we can get:

S ＝ T * α * (p1 + s1 + t1 + d1) (1)

Where S is the scoring result of the qualified medical data in Table 1, T is the basic score of the medical theme, α is the weight of the production transaction data, and p1, s1, t1, and d1 correspond to the quantization level of the qualified medical data in Table 1. score.

105. According to the scoring result, classify and store the qualified medical data, where the classified storage includes online storage, near-line storage, or archive storage.

Online storage refers to storing materials on the network in a networked state, which can be read and modified at any time to meet the speed requirements of front-end application servers or databases for data access. Near-line storage is an application that is positioned between the customer's online storage and offline storage. Store data that is not often used or has little data access on storage devices with lower performance, but at the same time The requirements are fast addressing and high transmission rate. Archive storage is suitable for long-term archiving and backup of massive data. Therefore, online storage of the most commonly used important data, near-line storage of data that may be used with a certain probability, but not used for a high probability, only archived backup data, archive storage.

Optionally, classifying and storing the qualified medical data according to the scoring results includes: setting a first score line and a second score line, where the first score line is less than the second score line; and the score result is less than the first score Archive and store the qualified medical data of the value line; store the qualified medical data with the score of not less than the first score line and less than the second score line for near-line storage; store the qualified medical data with the score result of not less than the second score line Store online.

According to the scoring results of the qualified medical data obtained in steps 101-104, the higher the score, the greater the importance of the medical data and the higher the real-time requirements. Therefore, the classification and storage of the qualified medical data according to the scoring results are shown in Table 4. As shown:

Table 4 Classified storage of qualified medical data

Classified storage	Archive storage	Nearline storage	Online storage
Rating results	Str ＜ h1	h1≤Str≤h2	Str ＞ h3

Where h1 represents the first score line, h2 represents the second score line, and Str represents the scoring result of qualified medical data.

Optionally, the method further includes: adding a classification label to the qualified medical data stored in the classification, the classification label includes a standardized classification result corresponding to the qualified medical data and its corresponding target fixed subject, target medical data classification, and target medical data classification quantization level ; Add a time tag to the classified medical data, the time tag is used to identify the time when the qualified medical data completes the classification storage; when receiving the request to obtain the classified medical data, the qualified medical data is obtained according to the classification label and the time label .

After storing the qualified medical data, you can also add its own classification label corresponding to the standardized classification result, and at the same time add the time label when the classification storage is completed, so that when the qualified medical data needs to be retrieved and reused At the time, the data can be obtained according to the label, which greatly improves the efficiency and accuracy of data extraction.

It can be seen that in the embodiment of the present invention, the storage request for the target medical data is first received, and the target medical data is reviewed to determine that the target medical data is qualified medical data; then the qualified medical data is classified according to the data classification model to obtain Standardized classification results; then scoring the qualified medical data according to the standardized classification results to obtain the scoring results of the qualified medical data; and finally, classifying and storing the qualified medical data according to the scoring results. In this process, since classified storage includes online storage, near-line storage, and archive storage, this classification storage method can reduce the occupation of data running space, and at the same time, through the classification and scoring of medical data, improve the recovery of medical data. The use efficiency is convenient for querying and obtaining corresponding medical data according to classification.

Please refer to FIG. 2. FIG. 2 is a schematic flowchart of another medical data classification storage method provided by an embodiment of the present invention. As shown in the figure, the medical data classification storage method in this embodiment includes:

201. Receive a storage request for target medical data, where the storage request is used to request storage of the target medical data;

202. Connect to the server of the competent department of the target medical data, and obtain the storability audit result of the target medical data to the target medical data. The storability audit includes correctness of the target medical data Review of sex, rationality, privacy or correspondence;

203. Connect to the server of the information security department, and obtain the security audit result of the target medical data by the server of the information security department;

204. When both the acquired storability audit result of the target medical data and the security audit result indicate that the target medical data passes the audit, determine that the target medical data is qualified medical data;

205. Classify the qualified medical data according to a data classification model to obtain a standardized classification result;

206. Score the qualified medical data according to the standardized classification result to obtain a score result of the qualified medical data;

207. Set a first score line and a second score line, where the first score line is smaller than the second score line;

208. Archive and store the qualified medical data whose score result is less than the first score line;

209. Store the qualified medical data whose score is not less than the first score line and less than the second score line in near-line storage;

210. Store the qualified medical data whose score result is not less than the second score line online.

In the embodiment of the present invention, the target medical data is determined to be qualified medical data by reviewing the storage and safety of the target medical data, and then the qualified medical data is classified according to the data classification model to obtain standardized classification results, and finally according to the standardization The classification result scores the qualified medical data, and the qualified medical data is stored online, near-line or archived according to the score. The approved medical data will not store unsafe or unqualified unhealthy medical data, so as not to cause pollution to the database storing the medical data, and avoid the large amount of manpower and time consumption caused by the subsequent discovery, modification or deletion of unhealthy medical data. The classified storage of qualified medical data can reduce the occupation of data running space and improve the reuse efficiency of medical data.

Please refer to FIG. 3. FIG. 3 is a schematic flowchart of another medical data classification storage method provided by an embodiment of the present invention. As shown in the figure, the medical data classification storage method in this embodiment includes:

301: Receive a storage request for target medical data, where the storage request is used to request storage of the target medical data;

302. Review the target medical data and determine that the target medical data is qualified medical data;

303. Divide the medical data into fixed topics according to the data function. The fixed topics include medical topics, medical topics, medical insurance topics, or health topics;

304. For the fixed subject, establish a data classification according to the data classification principle of the standardized enterprise information technology system, and the data classification includes production transaction data, service support data, and system data;

305. Obtain the quantization standard of the data classification, and classify the quantization standard according to different quantization value ranges corresponding to the quantization standard to obtain the quantization level of the data classification;

306. Establish a data classification model of the standardized enterprise information technology system according to the fixed subject, the data classification, and the quantitative classification of the data classification;

307. Acquire key information of the qualified medical data, where the key information includes data keywords, data quantization values, and initiator information of the storage request;

308. Import the key information of the qualified medical data into the data classification model, perform key information matching of the qualified medical data, and obtain a standardized classification result according to the matching result;

309. According to the scoring result, classify and store the qualified medical data, where the classified storage includes online storage, near-line storage, or archive storage.

In the embodiment of the present invention, the medical data is first divided into fixed topics according to the data function, and then the medical data of each fixed topic is established according to the data classification principle of the labeled enterprise information technology system, and then each data is classified The quantization standard is graded to obtain a quantization level. Finally, a data classification model is established according to the fixed subject, data classification and quantization level, and the qualified medical data that has passed the review is classified according to the data classification model. This process improves the classification efficiency of medical data, and because the data archiving model has a three-layer classification standard, the classification results of medical data are more accurate and inherently logical, which facilitates the subsequent reuse of medical data.

Please refer to FIG. 4. FIG. 4 is a schematic flowchart of another medical data classification storage method provided by an embodiment of the present invention. As shown in the figure, the medical data classification storage method in this embodiment includes:

401. Receive a storage request for target medical data, where the storage request is used to request storage of the target medical data;

402. Review the target medical data and determine that the target medical data is qualified medical data;

403. Classify the qualified medical data according to a data classification model to obtain a standardized classification result;

404. Score the qualified medical data according to the standardized classification result to obtain a score result of the qualified medical data;

405. According to the scoring result, classify and store the qualified medical data, where the classified storage includes online storage, near-line storage, or archive storage;

406. Add a classification label to the qualified medical data stored in the classification, the classification label includes a standardized classification result corresponding to the qualified medical data and its corresponding target fixed subject, target medical data classification, and target medical data classification quantization level ;

407. Add a time label to the qualified medical data stored in the category, the time label is used to identify the time when the qualified medical data completes the category storage;

408. When receiving a request to obtain qualified medical data stored in the classification, obtain the qualified medical data according to the classification label and the time label.

In the embodiment of the present invention, classified medical data that has passed the review is classified and stored, and then classification labels and time labels are added to the classified storage data, and the qualified medical data that have been classified and stored are queried or called according to the classification labels and time labels Time, can reduce time consumption and improve the efficiency of data multiplexing.

FIG. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in FIG. 5, the electronic device includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are Stored in the aforementioned memory and configured to be executed by the aforementioned processor, the aforementioned program includes instructions for performing the following steps:

Receive a storage request for target medical data, the storage request is used to request storage of the target medical data; review the target medical data to determine that the target medical data is qualified medical data; according to the qualified medical data The data classification model classifies to obtain standardized classification results; scores the qualified medical data according to the standardized classification results, obtains the scoring results of the qualified medical data; according to the scoring results, conducts the qualified medical data Classified storage, the classified storage includes online storage, near-line storage or archive storage.

It can be seen that the electronic device first receives the storage request for the target medical data and reviews the target medical data to determine the target medical data as qualified medical data; then classifies the qualified medical data according to the data classification model to obtain standardized classification results; and Evaluate the qualified medical data according to the standardized classification results to obtain the scoring results of the qualified medical data; finally, classify and store the qualified medical data according to the scoring results. In this process, since classified storage includes online storage, near-line storage, and archive storage, this classification storage method can reduce the occupation of data running space, and at the same time, through the classification and scoring of medical data, improve the recovery of medical data. The use efficiency is convenient for querying and obtaining corresponding medical data according to classification.

In a possible example, in reviewing the target medical data and determining that the target medical data is qualified medical data, the program includes instructions for performing the following steps:

Connect to the server of the competent department of the target medical data, and obtain the result of the storability review of the target medical data by the server of the department in charge of the target medical data, the storability review includes the correctness of the target medical data, Review of rationality, privacy or correspondence; connect to the server of the information security department and obtain the results of the security review of the target medical data by the server of the information security department; the storage of the target medical data when obtained Both the audit result and the safety audit result indicate that the target medical data is qualified medical data when the target medical data passes the audit.

In a possible example, in classifying the qualified medical data according to the target data classification model and obtaining a standardized classification result, the program includes instructions for performing the following steps:

Acquiring key information of the qualified medical data, the key information including data keywords, data quantization values, and initiator information of the storage request; importing the key information of the qualified medical data into the data classification model, Match the key information of the qualified medical data, and obtain a standardized classification result according to the matching result.

In a possible example, before classifying the qualified medical data according to the data classification model, in terms of creating the data classification model, the program includes instructions for performing the following steps:

Medical data is divided into fixed topics according to data functions, and the fixed topics include medical topics, medical topics, medical insurance topics, or health topics; for the fixed topics, data classification is established according to the data classification principle of the standardized enterprise information technology system. The data classification includes production transaction data, service support data and system data; obtain the quantitative standards of the data classification, and classify the quantitative standards according to different quantitative value ranges corresponding to the quantitative standards to obtain the data classification Quantization level; establish a data classification model of the standardized enterprise information technology system according to the fixed subject, the data classification, and the data classification quantization level.

In a possible example, in scoring the qualified medical data according to the standardized classification result to obtain the scoring result of the qualified medical data, the program includes instructions for performing the following steps:

Obtain the standardized classification result corresponding to the qualified medical data, including the target fixed topic corresponding to the standardized classification result, the target medical data classification, and the quantization level of the target medical data classification; acquiring the basic score of the target fixed topic, The weight value of the target medical data classification and the grading score of the quantization level of the target medical data classification are weighted and summed to determine the scoring result of the qualified medical data.

In a possible example, in terms of classifying and storing the qualified medical data according to the scoring result, the program includes instructions for performing the following steps:

Setting a first score line and a second score line, wherein the first score line is smaller than the second score line; the qualified medical data whose score result is less than the first score line is archived and stored; The qualified medical data whose score result is not less than the first score line and less than the second score line is stored near-line; the qualified medical data whose score result is not less than the second score line is stored online.

In a possible example, the program package further includes instructions for performing the following steps:

Adding a classification label to the qualified medical data stored in the classification, the classification label including the standardized classification result corresponding to the qualified medical data and its corresponding target fixed subject, target medical data classification, and target medical data classification quantization level; A time tag is added to the classified stored qualified medical data, and the time tag is used to identify the time when the qualified medical data completes the classified storage; when a request to obtain the classified stored qualified medical data is received, according to The classification label and the time label acquire the qualified medical data.

FIG. 6 is a block diagram of the functional units of the medical data classification storage device 600 involved in the embodiment of the present invention. The medical data classification storage device 600 is applied to an electronic device. The medical data classification storage device includes:

The request unit 601 is configured to receive a storage request for target medical data, and the storage request is used to request storage of the target medical data;

An auditing unit 602 is used to audit the target medical data and determine that the target medical data is qualified medical data;

A classification unit 603, configured to classify the qualified medical data according to a data classification model to obtain a standardized classification result;

The scoring unit 604 is configured to score the qualified medical data according to the standardized classification result to obtain the scoring result of the qualified medical data;

The storage unit 605 is configured to classify and store the qualified medical data according to the scoring result, where the classified storage includes online storage, near-line storage, or archive storage.

Here, it should be noted that for the specific working processes of the request unit 601, the review unit 602, the classification unit 603, the scoring unit 604, and the storage unit 605, please refer to the relevant descriptions of the above steps 101-105. I will not repeat them here.

It can be seen that in the embodiment of the present invention, the medical data classification storage device first receives the storage request for the target medical data, reviews the target medical data, and determines that the target medical data is qualified medical data; The classification model is classified to obtain standardized classification results; then the qualified medical data is scored according to the standardized classification results, and the qualified medical data is scored; finally, the qualified medical data is classified and stored according to the scoring results. In this process, since classified storage includes online storage, near-line storage, and archive storage, this classification storage method can reduce the occupation of data running space, and at the same time, through the classification and scoring of medical data, improve the recovery of medical data. The use efficiency is convenient for querying and obtaining corresponding medical data according to classification.

In an optional case, in reviewing the target medical data and determining that the target medical data is qualified medical data, the review unit 602 is specifically configured to:

Connect to the server of the competent department of the target medical data, and obtain the result of the storability review of the target medical data by the server of the department in charge of the target medical data, the storability review includes the correctness of the target medical data, Review of reasonableness, privacy or correspondence;

Connect to the server of the information security department, and obtain the security audit result of the target medical data by the server of the information security department;

When both the acquired storability audit result of the target medical data and the security audit result indicate that the target medical data passes the audit, it is determined that the target medical data is qualified medical data.

In an optional case, in terms of classifying the qualified medical data according to a standard data classification model and obtaining a standardized classification result, the classification unit 603 is specifically used to:

Obtain key information of the qualified medical data, the key information includes data keywords, data quantization values, and initiator information of the storage request;

Import key information of the qualified medical data into the data classification model, perform key information matching of the qualified medical data, and obtain a standardized classification result according to the matching result.

In an optional case, before classifying the qualified medical data according to a data classification model, the classification unit 603 is further used to create a data classification model, specifically used to:

Medical data is divided into fixed topics according to data functions, and the fixed topics include medical topics, medical topics, medical insurance topics, or health topics;

For the fixed subject, a data classification is established according to the data classification principle of the standardized enterprise information technology system, and the data classification includes production transaction data, service support data, and system data;

Obtain the quantization standard of the data classification, and classify the quantization standard according to different quantization value ranges corresponding to the quantization standard to obtain the quantization level of the data classification;

The data classification model of the standardized enterprise information technology system is established according to the fixed subject, the data classification, and the quantization level of the data classification.

In an optional case, in terms of scoring the qualified medical data according to the standardized classification result and obtaining the scoring result of the qualified medical data, the scoring unit 604 is specifically configured to:

Acquiring the standardized classification result corresponding to the qualified medical data, including the target fixed subject corresponding to the standardized classification result, the target medical data classification, and the quantization level of the target medical data classification;

Obtain the basic score of the target fixed subject, the weight of the target medical data classification, and the graded score of the quantization level of the target medical data classification, and weight and sum them to determine the score of the qualified medical data result.

In an optional case, in terms of classifying and storing the qualified medical data according to the scoring result, the storage unit 605 is specifically used to:

Setting a first score line and a second score line, wherein the first score line is smaller than the second score line;

Archive and store the qualified medical data whose score result is less than the first score line;

Store the qualified medical data whose score is not less than the first score line and less than the second score line in near-line storage;

Store the qualified medical data whose score result is not less than the second score line online.

In an optional case, the medical data classification storage device 600 further includes a multiplexing unit 606, which is specifically used to:

Adding a classification label to the qualified medical data stored in the classification, the classification label including a standardized classification result corresponding to the qualified medical data and its corresponding target fixed subject, target medical data classification, and target medical data classification quantization level;

Adding a time tag to the classified and stored qualified medical data, the time tag is used to identify when the qualified medical data completes the classified storage;

When receiving a request to obtain qualified medical data stored in the classification, the qualified medical data is acquired according to the classification label and the time label.

An embodiment of the present invention also provides a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program for electronic data exchange, and the computer program causes the computer to execute the method as described above For some or all steps of any method described in the example, the computer includes a mobile terminal.

An embodiment of the present invention also provides a computer program product. The computer program product includes a non-transitory non-volatile computer-readable storage medium that stores the computer program. The computer program is operable to cause the computer to execute the method as described in the foregoing method embodiments. Part or all of the steps of any method described. The computer program product may be a software installation package. The computer includes a mobile terminal.

In the several embodiments provided in this application, it should be understood that the disclosed device may be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the above-mentioned unit division is only a logical function division. In actual implementation, there may be other division modes, for example, multiple units or components may be combined or integrated To another system, or some features can be ignored, or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or software function unit.

If the above integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable memory. Based on this understanding, the technical solution of the present application essentially or part of the contribution to the existing technology or all or part of the technical solution can be embodied in the form of a software product, the computer software product is stored in a memory, Several instructions are included to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the above methods in various embodiments of the present application. The foregoing memory includes: U disk, Read-Only Memory (ROM), Random Access Memory (Random Access Memory, RAM), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

A person of ordinary skill in the art may understand that all or part of the steps in the various methods of the foregoing embodiments may be completed by instructing relevant hardware through a program. The program may be stored in a computer-readable memory, and the memory may include: a flash disk , ROM, RAM, magnetic disk or optical disk, etc.

The embodiments of the present invention have been described in detail above, and specific examples are used to explain the principle and implementation of the present application. The descriptions of the above embodiments are only used to help understand the method and core idea of the present application; Those of ordinary skill in the art, based on the ideas of the present application, may have changes in specific implementations and application scopes. In summary, the content of this specification should not be construed as limiting the present application.

Claims (20)

1. A medical data classification storage method, characterized in that the method includes:

   Receiving a storage request for target medical data, where the storage request is used to request storage of the target medical data;

   Review the target medical data and determine that the target medical data is qualified medical data;

   Classify the qualified medical data according to the data classification model to obtain standardized classification results;

   Scoring the qualified medical data according to the standardized classification result to obtain the scoring result of the qualified medical data;

   According to the scoring result, the qualified medical data is classified and stored, and the classified storage includes online storage, near-line storage, or archive storage.
2. The method according to claim 1, wherein the reviewing the target medical data to determine that the target medical data is qualified medical data includes:

   Connect to the server of the competent department of the target medical data, and obtain the result of the storability review of the target medical data by the server of the department in charge of the target medical data, the storability review includes the correctness of the target medical data, Review of reasonableness, privacy or correspondence;

   Connect to the server of the information security department, and obtain the security audit result of the target medical data by the server of the information security department;

   When both the acquired storability audit result of the target medical data and the security audit result indicate that the target medical data passes the audit, it is determined that the target medical data is qualified medical data.
3. The method according to claim 2, wherein the classifying the qualified medical data according to a standard data classification model to obtain a standardized classification result includes:

   Obtain key information of the qualified medical data, the key information includes data keywords, data quantization values, and initiator information of the storage request;

   Import key information of the qualified medical data into the data classification model, perform key information matching of the qualified medical data, and obtain a standardized classification result according to the matching result.
4. The method according to claim 3, wherein before classifying the qualified medical data according to a data classification model, the method further includes creating a data classification model, specifically including:

   Medical data is divided into fixed topics according to data functions, and the fixed topics include medical topics, medical topics, medical insurance topics, or health topics;

   For the fixed subject, a data classification is established according to the data classification principle of the standardized enterprise information technology system, and the data classification includes production transaction data, service support data, and system data;

   Obtain the quantization standard of the data classification, and classify the quantization standard according to different quantization value ranges corresponding to the quantization standard to obtain the quantization level of the data classification;

   The data classification model of the standardized enterprise information technology system is established according to the fixed subject, the data classification, and the quantization level of the data classification.
5. The method according to claim 4, wherein the scoring the qualified medical data according to the standardized classification result to obtain the scoring result of the qualified medical data includes:

   Acquiring the standardized classification result corresponding to the qualified medical data, including the target fixed subject corresponding to the standardized classification result, the target medical data classification, and the quantization level of the target medical data classification;

   Obtain the basic score of the target fixed subject, the weight of the target medical data classification, and the graded score of the quantization level of the target medical data classification, and weight and sum them to determine the score of the qualified medical data result.
6. The method according to claims 1-5, wherein the classifying and storing the qualified medical data according to the scoring result includes:

   Setting a first score line and a second score line, wherein the first score line is smaller than the second score line;

   Archive and store the qualified medical data whose score result is less than the first score line;

   Store the qualified medical data whose score is not less than the first score line and less than the second score line in near-line storage;

   Store the qualified medical data whose score result is not less than the second score line online.
7. The method according to claim 6, wherein the method further comprises:

   Adding a classification label to the qualified medical data stored in the classification, the classification label including a standardized classification result corresponding to the qualified medical data and its corresponding target fixed subject, target medical data classification, and target medical data classification quantization level;

   Adding a time tag to the classified and stored qualified medical data, the time tag is used to identify when the qualified medical data completes the classified storage;

   When receiving a request to obtain qualified medical data stored in the classification, the qualified medical data is acquired according to the classification label and the time label.
8. A medical data classification storage device, characterized in that the medical data classification storage device includes:

   A requesting unit for receiving a storage request for target medical data, the storage request for requesting storage of the target medical data;

   An auditing unit for reviewing the target medical data to determine that the target medical data is qualified medical data;

   A classification unit, configured to classify the qualified medical data according to a data classification model to obtain a standardized classification result;

   A scoring unit for scoring the qualified medical data according to the standardized classification result to obtain the scoring result of the qualified medical data;

   The storage unit is configured to classify and store the qualified medical data according to the scoring result, and the classified storage includes online storage, near-line storage, or archive storage.
9. The device according to claim 8, wherein in reviewing the target medical data and determining that the target medical data is qualified medical data, the review unit is specifically configured to:

   Connect to the server of the competent department of the target medical data, and obtain the result of the storability review of the target medical data by the server of the department in charge of the target medical data, the storability review includes the correctness of the target medical data, Review of reasonableness, privacy or correspondence;

   Connect to the server of the information security department, and obtain the security audit result of the target medical data by the server of the information security department;

   When both the acquired storability audit result of the target medical data and the security audit result indicate that the target medical data passes the audit, it is determined that the target medical data is qualified medical data.
10. The device according to claim 9, characterized in that, in classifying the qualified medical data according to a standard data classification model and obtaining a standardized classification result, the classification unit is specifically used for:

    Obtain key information of the qualified medical data, the key information includes data keywords, data quantization values, and initiator information of the storage request;

    Import key information of the qualified medical data into the data classification model, perform key information matching of the qualified medical data, and obtain a standardized classification result according to the matching result.
11. The apparatus according to claim 10, characterized in that, before classifying the qualified medical data according to a data classification model, the classification unit is further used to create a data classification model, specifically for:

    Medical data is divided into fixed topics according to data functions, and the fixed topics include medical topics, medical topics, medical insurance topics, or health topics;

    For the fixed subject, a data classification is established according to the data classification principle of the standardized enterprise information technology system, and the data classification includes production transaction data, service support data, and system data;

    Obtain the quantization standard of the data classification, and classify the quantization standard according to different quantization value ranges corresponding to the quantization standard to obtain the quantization level of the data classification;

    The data classification model of the standardized enterprise information technology system is established according to the fixed subject, the data classification, and the quantization level of the data classification.
12. The apparatus according to claim 11, wherein in scoring the qualified medical data according to the standardized classification result to obtain a scoring result of the qualified medical data, the scoring unit is specifically configured to:

    Acquiring the standardized classification result corresponding to the qualified medical data, including the target fixed subject corresponding to the standardized classification result, the target medical data classification, and the quantization level of the target medical data classification;

    Obtain the basic score of the target fixed subject, the weight of the target medical data classification, and the graded score of the quantization level of the target medical data classification, and weight and sum them to determine the score of the qualified medical data result.
13. The device according to claims 8-12, wherein, in terms of classifying and storing the qualified medical data according to the scoring result, the storage unit is specifically configured to:

    Setting a first score line and a second score line, wherein the first score line is smaller than the second score line;

    Archive and store the qualified medical data whose score result is less than the first score line;

    Store the qualified medical data whose score is not less than the first score line and less than the second score line in near-line storage;

    Store the qualified medical data whose score result is not less than the second score line online.
14. The device according to claim 13, wherein the medical data classification storage device further comprises a multiplexing unit, which is specifically used for:

    Adding a classification label to the qualified medical data stored in the classification, the classification label including a standardized classification result corresponding to the qualified medical data and its corresponding target fixed subject, target medical data classification, and target medical data classification quantization level;

    Adding a time tag to the classified and stored qualified medical data, the time tag is used to identify when the qualified medical data completes the classified storage;

    When receiving a request to obtain qualified medical data stored in the classification, the qualified medical data is acquired according to the classification label and the time label.
15. An electronic device includes a processor, a memory, a communication interface, and one or more programs, the one or more programs are stored in the memory, and configured to be executed by the processor, the program includes Follow these steps:

    Receiving a storage request for target medical data, where the storage request is used to request storage of the target medical data;

    Review the target medical data and determine that the target medical data is qualified medical data;

    Classify the qualified medical data according to the data classification model to obtain standardized classification results;

    Scoring the qualified medical data according to the standardized classification result to obtain the scoring result of the qualified medical data;

    According to the scoring result, the qualified medical data is classified and stored, and the classified storage includes online storage, near-line storage, or archive storage.
16. The device according to claim 15, characterized in that, in the aspect of reviewing the target medical data and determining that the target medical data is qualified medical data, the program includes instructions for performing the following steps:

    Connect to the server of the competent department of the target medical data, and obtain the result of the storability review of the target medical data by the server of the department in charge of the target medical data, the storability review includes the correctness of the target medical data, Review of reasonableness, privacy or correspondence;

    Connect to the server of the information security department, and obtain the security audit result of the target medical data by the server of the information security department;

    When both the acquired storability audit result of the target medical data and the security audit result indicate that the target medical data passes the audit, it is determined that the target medical data is qualified medical data.
17. The apparatus according to claim 16, characterized in that, in terms of classifying the qualified medical data according to a standard data classification model to obtain a standardized classification result, the program includes instructions for performing the following steps:

    Obtain key information of the qualified medical data, the key information includes data keywords, data quantization values, and initiator information of the storage request;

    Import key information of the qualified medical data into the data classification model, perform key information matching of the qualified medical data, and obtain a standardized classification result according to the matching result.
18. The apparatus according to claim 17, wherein before classifying the qualified medical data according to a data classification model, the method further includes creating a data classification model, and the program includes steps for performing the following steps The instructions:

    Medical data is divided into fixed topics according to data functions, and the fixed topics include medical topics, medical topics, medical insurance topics, or health topics;

    For the fixed subject, a data classification is established according to the data classification principle of the standardized enterprise information technology system, and the data classification includes production transaction data, service support data, and system data;

    Obtain the quantization standard of the data classification, and classify the quantization standard according to different quantization value ranges corresponding to the quantization standard to obtain the quantization level of the data classification;

    The data classification model of the standardized enterprise information technology system is established according to the fixed subject, the data classification, and the quantization level of the data classification.
19. The apparatus according to claim 18, wherein the scoring of the qualified medical data according to the standardized classification result to obtain the scoring result of the qualified medical data, the program includes the steps for performing the following The instructions:

    Acquiring the standardized classification result corresponding to the qualified medical data, including the target fixed subject corresponding to the standardized classification result, the target medical data classification, and the quantization level of the target medical data classification;

    Obtain the basic score of the target fixed subject, the weight of the target medical data classification, and the graded score of the quantization level of the target medical data classification, and weight and sum them to determine the score of the qualified medical data result.
20. A non-volatile computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes the computer to execute the instructions of the steps of any method of claims 1-7.

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