CN113571167A - Rapid triage system based on configured scoring knowledge model - Google Patents
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Abstract
The invention discloses a rapid triage system based on a configured scoring knowledge model, which provides a plurality of scoring knowledge models for medical workers, helps the medical workers to scientifically and accurately triage patients and perform disease data and diagnosis analysis on the patients. The specific scheme is as follows: the system comprises a triage database, a medical history database, a triage information acquisition module, a custom scoring knowledge model module, a triage electronic medical record module, an intelligent disease screening module and a triage data statistics module; the triage database is used for storing suspected disease data, and the medical history database is used for storing the previous medical record data of the patient, analyzing the big data of the patient and providing the previous medical history of the patient; the triage information acquisition module is used for the medical staff to manually input the triage information of the patient and acquire the node information of the previous triage of the patient, is in signal connection with the triage database and the medical history database, and displays the relevant information data in the triage database and the medical history database after acquiring the node information of the patient.
Description
Technical Field
The invention relates to the field of disease data analysis and diagnosis processing, in particular to a rapid triage system based on a configured scoring knowledge model.
Background
Based on the current triage mode, the medical history, the illness state and other conditions of the patient are provided for medical staff through the patient or family members and other contacts. Because the patient is unconscious or the corresponding accompanying person is not aware of the patient's condition, it may not be possible to provide the corresponding medical care personnel with effective disease condition and other information, and the medical care personnel need to provide other means to understand the patient's condition for analysis and treatment of the patient triage, so the patient treatment may cause delay and the triage may be inaccurate. Because patient's historical triage information does not carry out the electron and archives, lead to medical personnel can't obtain the historical information of patient's triage before, also can not recommend the processing scheme through big data analysis, medical personnel probably record to patient's repeated information simultaneously, lead to the patient to have many archives, data information can't the sharing.
With the improvement of medical level, institutions such as hospitals and the like arrange various scoring standards for quick triage, medical staff need to remember the various scoring standards due to the diversity of the scoring standards, and the workload of the medical staff is increased. Meanwhile, the triage error rate is increased continuously due to the diversity of the scoring standards. Meanwhile, the evaluation information filled by the nurse in the triage process cannot be shared with the doctor, so that the doctor cannot know the evaluation standard of the patient, and the doctor needs to perform triage evaluation on the patient again when the doctor receives the triage.
Because the current triage has no function of triage again, the assessment result of a doctor cannot be recorded into the system, most of the doctors carry out correction after verbally describing the diagnosis result by nurses, and the situation causes that wrong triage information can not be updated timely due to too busy condition, and the workload of medical staff is increased.
Disclosure of Invention
In order to solve the technical problems, the invention provides a rapid triage system based on a configured scoring knowledge model, which is used for acquiring inquiry information of a patient, adopting a self-defined scoring model, intelligently analyzing and obtaining a triage result through a computer, simultaneously providing a rapid scoring module of the patient, supporting medical staff to self-define a grading subarea for the patient, storing the information of multiple times of patient visits of the patient into a self-defined knowledge base module, providing historical patient visits and reference documents of the patient for the medical staff through continuous absorption and intelligent optimization, improving the communication efficiency between the medical staff and the patient while saving the manpower of a hospital, shortening the visit time, sharing the triage information and improving the triage accuracy of the medical staff.
The technical purpose of the invention is realized by the following technical scheme:
a rapid triage system based on a configured scoring knowledge model comprises a triage database, a medical history database, a triage information acquisition module, a user-defined scoring knowledge model module, a triage electronic medical record module, an intelligent disease screening module and a triage data statistics module;
the triage database is used for storing suspected disease data, and the medical history database is used for storing the previous medical record data of the patient;
the triage information acquisition module is used for acquiring node information of the patient, is in signal connection with the triage database and the medical history database, and displays relevant information data in the triage database and the medical history database after acquiring the node information of the patient;
the user-defined grading knowledge model module is used for providing the triage information for medical personnel to carry out triage judgment, determining whether the final diagnosis information is met or not according to the evaluation of the medical personnel and sending the evaluation content to the triage platform;
the triage electronic medical record module is used for creating a corresponding electronic medical record template through the standardized data set, the data elements or/and the structured node information of the value range;
the intelligent disease screening module is used for obtaining related suspected disease data through the judgment of triage personnel and the description of the patient and the guardian thereof and the triage database;
the triage data statistics module is used for statistics of related data in the triage process.
In the above scheme, when in use, the method can be carried out by the following steps:
step 1: the medical care triage is supported, a patient triage information input interface is provided for medical care workers, basic information of a patient is input through judgment of the triage personnel and description of the patient and a guardian thereof, an intelligent disease screening module and the like are called to perform suspected diagnosis when the information is input, or related suspected disease data or previous triage information of the patient is obtained through a triage database.
Step 2: when medical personnel input patient triage information, the triage information acquisition module is in signal connection with the triage database and the medical history library, and relevant information data in the triage database and the medical history library are displayed after node information of the patient is acquired.
And step 3: after the corresponding triage node information is obtained, the user-defined scoring knowledge model module rapidly configures a rapid scoring knowledge model used by the patient according to the triage node information, determines whether final diagnosis information is met or not according to the evaluation of medical personnel, and sends the evaluation content to the triage table, and the triage information is sent to the triage database for storage.
And 4, step 4: the node information generated by the patient in the triage process is manufactured according to the electronic medical record template required by the hospital, and the triage electronic medical record module is created through the standardized data set, the data elements and the node information with the value domain structure, so that after the patient is subjected to triage and stored, the patient triage node information can be automatically acquired into the medical record after the medical record is created according to the corresponding template, the corresponding triage medical record is automatically generated, and meanwhile, the corresponding triage medical record is printed to the family members of the patient. A patient history library is formed during this process.
And 5: meanwhile, whether the corresponding patient survey documents need to be filled in is judged according to the types of the patients, and triage information of the patients is improved. Providing more detailed information for subsequent treatment of the patient.
Step 6: according to the triage information of the patient, different quality control index statistics can be provided for departments, and a triage data statistics module is formed.
As a preferred scheme, the algorithm model constructed in the intelligent disease screening module is as follows:
Cw1·fw2·kθ，(θ＝0,1)
wherein C is a character, f is a field, k is a keyword, wiFor weight, θ is a conflict value, which is 0 if the corresponding symptom in the database is not a disease, otherwise it is 1.
As a preferred scheme, the triage database is used for screening out conflict disease data according to corresponding characters, fields and keywords when input values comprise the characters, the fields and the keywords, and correspondingly outputting related disease data.
In the above preferred embodiment, the triage information of the patient each time can be stored in the triage database to form a triage history file of the patient, so as to provide a past basis for the next possible treatment.
As a preferred scheme, the triage information acquisition module acquires patient information including an electronic medical insurance card, a health card, an identity card or/and three-party equipment data; and the basic information content data based on the patient is obtained through the information interaction between the patient information and the information in the triage database and the medical history database.
In the preferred scheme, the medical information can provide the past medical history information of the patient and provide detailed past diagnosis information for medical staff.
As a preferred scheme, the custom scoring knowledge model module is further used for calling a corresponding electronic medical record template in the triage electronic medical record module by inputting different data and screened data by the triage personnel; meanwhile, the user-defined grading knowledge model module configures a quick grading knowledge model used by the patient, determines whether final diagnosis information is met or not according to the evaluation of medical personnel, sends the evaluation content to the triage table, and sends the triage information to the triage database for storage.
In the preferred scheme, a scoring knowledge model for rapid triage is provided for medical staff according to the analysis of the patient node information input by the triage staff, and the past triage scoring records of the patient are retrieved simultaneously. In addition, the information of the patient triage node can be automatically acquired into the medical records, and the medical records support logic quality control, must be verified and standardize the operation of medical personnel
As a preferable scheme, the rapid triage system further comprises a cloud database, wherein the cloud database is used for acquiring relevant data information of the patient at other diagnosis or treatment places and interacting with the medical history database to realize information sharing.
As a preferred scheme, the quick triage system further comprises a voice module, and the voice module comprises a voice recording unit, a voice broadcasting unit and a voice conversion unit.
As a preferred scheme, the quick triage system is in signal connection with the printer.
In conclusion, the invention has the following beneficial effects:
1. the rapid triage method and the rapid triage system based on the configured scoring knowledge model provide a functional interface for inputting patient information for doctors and nurses, support medical staff to perform triage on patients, provide a triage function for doctors, solve the problem that no nurse staff exists at night or the nurse staff is busy at daytime and the patients cannot be triaged, and inform the corresponding information to the nurse staff through the message pushing module after triage, so that triage information sharing is realized.
2. After the function of inputting patient information is provided for medical staff, in order to meet the requirements of inconsistent input information of different hospitals, different information of patients at different ages and different information of green-channel patients, the rapid triage method and the rapid triage system based on the configured scoring knowledge model provide the function of configuring triage input information nodes, information configuration input node configuration can be performed according to different hospitals and different patient types, the diversity of the patient input node information is realized, different types of input node information and stored information verification are flexibly provided for different patients for medical care, and a more convenient and rapid triage mode is opened for special patients. Node information is provided for the analysis of the big data and the formation of corresponding data in the later period, and triage information can be shared.
3. The patient is sign information, a device driving template is provided, the corresponding device is connected in a butt joint mode, the sign information of the patient is collected to a triage information input interface, a mode for grading according to the sign information is provided, and a corresponding triage result can be obtained through analysis.
4. Due to the fact that the types of patients are different, the rapid triage method and the rapid triage system based on the configured scoring knowledge model provide the triage with diversified sources of the patients: different triage modes of common patients, unknown patients, registration, wounds, identity cards, medical insurance cards and group wounded patients are supported, because the triage information is structurally configured, and the input information nodes of patients from different sources are configured, flexible patient triage information input is provided, the input nodes are provided for medical care personnel more reasonably, and the speed and the efficiency of medical care triage are improved.
5. The rapid triage method and the rapid triage system based on the configured scoring knowledge model provide a secondary triage function for doctors and nurses, support the doctors and nurses to modify patient triage information, and solve the problem that the triage information is incorrect due to wrong entry of the patient triage information; the doctor carries out secondary triage, the accuracy of triage is improved, meanwhile, a closed loop is formed by medical triage, the problem that prior triage information of medical staff cannot be shared is solved, and the communication cost of the medical staff is reduced; the operation of evaluating the triage result of the nurse by the doctor is supported, so that statistical information of the triage accuracy can be provided, and analysis data are provided for research of departments and improvement of working efficiency. Meanwhile, the problem with high triage error rate can be screened to carry out unified training, and the efficiency of departments is improved.
6. The quick triage method and the quick triage system based on the configured scoring knowledge model store the triage information of a patient in a structured mode, so an electronic medical record module is provided to form different triage information medical record templates according to pertinence, the triage information of the patient forms different triage information medical records, the corresponding triage medical records are provided to be checked in the triage, medical personnel are allowed to write back and select write-back information to a triage input interface, node information prompting the write-back of one key can be configured, and the node information can be changed according to different hospital requirements. Meanwhile, the corresponding triage medical record supports printing and third-party calling.
7. The patient triage information has corresponding archive information, the previous diagnosis information of the patient can be analyzed and obtained according to the big data analysis template, and the obtained diagnosis information can be filled in a patient triage input interface, information such as a contact person, a family history and a previous history of the patient can be obtained from the big data module, meanwhile, the doctor can be intelligently analyzed according to the big data analysis module, and resource optimization is achieved.
8. The rapid triage method and the rapid triage system based on the configured scoring knowledge model have a template configuration module, and different patient triage information medical record files can be formed by summarizing according to different patient node information. Provides the doctor who receives a doctor with the corresponding history of the patient and the doctor knows the past condition.
9. The rapid triage method and the rapid triage system based on the configured scoring knowledge model can configure quality control points, carry out closed-loop quality control on the information of the patient in the whole process of triage of the patient, and achieve the purpose that medical staff know the quality control condition of the patient in real time.
10. The rapid triage method and the rapid triage system based on the configured scoring knowledge model can form the corresponding scoring knowledge model according to different scoring standards, and can rapidly and intelligently analyze to obtain the triage result of the patient.
11. The rapid triage method and the rapid triage system based on the configured scoring knowledge model provide different triage modes for medical care, and provide grading-zoning-triage, grading-triage-zoning modes aiming at nurses with more triage experiences, the corresponding modes can preferentially determine the corresponding triage results, and determine whether indexes of patients meet the corresponding results in the reverse direction, so that the corresponding triage operation is simplified; for less experienced nurses, we provide a somewhat quick assessment, five scoring, etc. triage mode.
12. The rapid triage method and the rapid triage system based on the configured scoring knowledge model can configure statistical indexes, can perform quality control statistics on patient information according to structured node information, can configure different statistical indexes as long as the node information exists, provide printing and exporting functions, and do not need medical staff to perform manual statistics.
13. The medical staff and the family members or the accompanying staff exchange problems are reduced, and the family members or the accompanying staff can know the condition of the patient in real time.
14. The invention also has the advantages of structured node configuration, and corresponding quality control node and input node information are configured according to different patient types and the like.
15. The invention forms a closed loop in medical care triage, and can judge the accuracy of nurse triage when doctors carry out secondary triage after nurse triage.
Drawings
FIG. 1 is a flow chart of triage information acquisition in an embodiment of the present invention;
FIG. 2 is a flow chart illustrating interaction between the triage information collection module and other modules according to an embodiment of the present invention;
FIG. 3 is a flow chart of the operation of the custom scoring knowledge model in an embodiment of the present invention;
fig. 4 is a flowchart of the quick triage system in the embodiment of the present invention.
Detailed Description
This specification and claims do not intend to distinguish between components that differ in name but not function. In the following description and in the claims, the terms "include" and "comprise" are used in an open-ended fashion, and thus should be interpreted to mean "include, but not limited to. "substantially" means within an acceptable error range, within which a person skilled in the art can solve the technical problem to substantially achieve the technical result.
The present invention will be described in further detail below with reference to the accompanying drawings, but the present invention is not limited thereto.
Example 1:
the patient arrives at a diagnosis separating table, the current state of illness is described by acquiring whether the patient has a history case history or not, suspected diseases are screened out by an intelligent disease screening module in the modes of voice input, dictation, typing and the like, and the patient is diagnosed according to the judgment of medical staff at the diagnosis separating table; and for the unconscious patient, the triage medical care personnel obtains suspected diseases according to the observation and input of the relevant illness state information and carries out triage.
Example 2:
in the intelligent disease screening process, according to input characters, fields and keywords, relevant diseases are matched in a triage database according to corresponding characters, fields and keywords to obtain all output suspected diseases, the triage database contains the following information, when certain disease conditions exist, certain diseases are eliminated, therefore, when the keywords are started, the diseases are eliminated, and other diseases are output; after the characters, the fields and the keywords are input, the diseases with different output results can be obtained according to the corresponding weight values set by a real-time system, for example, the weights of the characters and the fields are adjusted to obtain different diseases, especially different numbers of diseases; when the number of acquired meaning diseases is too large, suspected diseases can be further screened by adjusting the weight of the characters and the weight of the fields, so that the number of output diseases is reduced, medical workers can better screen the diseases, and the triage efficiency is improved.
Example 3:
after each triage of medical personnel, medical personnel of related departments can score and evaluate according to the triage condition, and can adjust information in the triage database so as to enable the accuracy of subsequent triage to be higher.
A plurality of methods for acquiring patient information are provided in the triage information acquisition module, and data acquisition of third-party equipment such as an electronic medical insurance card, a health card, identity card identification, a monitor and the like is supported; supporting the historical clinic information of the patients in the diagnosis knowledge base module; the structured triage electronic medical record module is supported to acquire the previous treatment information of the patient; the medical staff is supported to collect the information according to the family members of the patient or the knowledge of the patient.
The corresponding information acquisition nodes in the triage information acquisition module are configured, and corresponding node information to be filled and node information to be known can be configured according to different patient types, patient ages, patient disease types and the like; meanwhile, node information required to be acquired by a patient can be configured according to different hospitals, and the information acquisition of the patient information is realized.
The patient node information acquired by triage information is structurally stored and can be arbitrarily formed into different formats; the data cross-platform sharing is achieved through formats such as html, text and xml, the patient triage information is loaded into the corresponding medical record module in the structured electronic medical record diagnosis module, printing to the patient family members is supported, and the problem that the patient family members and medical care persons are difficult to communicate is solved.
The self-defined scoring knowledge model module can be triggered in the triage information acquisition module, the module can carry out intelligent analysis according to patient acquisition information to bring out corresponding scores or corresponding evaluation standards needing to be judged, the intelligent analysis result is provided for medical workers in a clinical path form to carry out triage judgment, different scoring standards can be brought out according to the operation of the medical workers, the module can be configured according to different patient disease types, hospitals and the like, and the completeness of triage scoring is promoted. The system realizes multiple scoring standards of one system, further reduces the workload of medical care personnel and improves the accuracy of triage.
Structured diagnosis of electronic medical records: and creating a corresponding electronic medical record template through the standardized data set, the data elements and the structured node information of the value range. Therefore, the structured diagnosis electronic medical record can meet the requirement of writing survey documents of different hospitals, simultaneously supports logic quality control and patient information mandatory item quality control, forms a closed loop with the patient information quality control, and simultaneously supports printing and data platform sharing.
Meanwhile, the corresponding node information of the mandarin speech input is supported in the medical record, the corresponding speech-to-text function is added in the electronic medical record module, the medical record speech broadcast is supported, the work of medical workers is reduced, and the problem that the aged medical workers are not familiar with electronic products such as computers and the like, so that the work is not easy to develop is solved.
Supporting the formation of various survey scales, such as epidemiology, snake bite and the like, providing data according to the information input in the triage input template, starting and obtaining a corresponding scoring model, and summarizing and analyzing the corresponding node values by the scoring model, obtaining a corresponding big data scoring result, and returning the scoring result to the node information corresponding to the triage interface. Meanwhile, the result of big data scoring can be customized and modified. Meanwhile, the scoring model can be displayed in detail, and medical staff can clearly see rules and standards of patient triage rating.
Generating different triage templates according to the scoring knowledge model, storing the corresponding templates into the structured triage medical record, analyzing and acquiring the corresponding templates according to the node data of the triage information, providing an editor module to load the template information into the triage information to fill and write the template information into an interface, and simultaneously summarizing the node information into the templates according to configuration to form the corresponding patient triage medical record;
meanwhile, corresponding evaluation templates can be configured according to different triage evaluation sheets, and medical staff can automatically create and fill the evaluation templates according to information such as triage results. The node information draws corresponding structured triage medical record information, so that the medical record of the triage information and the sharing of the medical care triage information are realized. The triage medical record is provided to support printing and third-party information sharing.
As the triage information medical record and the structuring can configure corresponding statistical interfaces according to different statistical requirements, index query and export which need to be counted are provided for medical staff, and a graphical interface can be exported, so that the medical staff can understand better.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (8)
1. A rapid triage system based on a configured scoring knowledge model is characterized by comprising a triage database, a medical history database, a triage information acquisition module, a user-defined scoring knowledge model module, a triage electronic medical record module, an intelligent disease screening module and a triage data statistics module;
the triage database is used for storing suspected disease data, and the medical history database is used for storing the previous medical record data of the patient;
the triage information acquisition module is used for acquiring node information of the patient, is in signal connection with the triage database and the medical history database, and displays relevant information data in the triage database and the medical history database after acquiring the node information of the patient;
the user-defined grading knowledge model module is used for providing the triage information for medical personnel to carry out triage judgment, determining whether the final diagnosis information is met or not according to the evaluation of the medical personnel and sending the evaluation content to the triage platform;
the triage electronic medical record module is used for creating a corresponding electronic medical record template through the standardized data set, the data elements or/and the structured node information of the value range;
the intelligent disease screening module is used for obtaining related suspected disease data through the judgment of triage personnel and the description of the patient and the guardian thereof and the triage database;
the triage data statistics module is used for statistics of related data in the triage process.
2. The rapid triage system based on the configured scoring knowledge model according to claim 1, wherein the algorithm model constructed in the intelligent disease screening module is as follows:
Cw1·fw2·kθ，(θ＝0，1)
wherein C is a character, f is a field, k is a keyword, wiFor weight, θ is a conflict value, which is 0 if the corresponding symptom in the database is not a disease, otherwise it is 1.
3. The rapid triage system based on the configured scoring knowledge model according to claim 2, wherein the input values in the triage database comprise characters, fields and keywords, and conflict disease data are screened out according to the corresponding characters, fields and keywords, and relevant disease data are correspondingly output.
4. The rapid triage system based on the configured scoring knowledge model according to claim 1, wherein the triage information collection module collects patient information including electronic medical insurance cards, health cards, identification cards or/and three-party device data; and the basic information content data based on the patient is obtained through the information interaction between the patient information and the information in the triage database and the medical history database.
5. The rapid triage system based on the configured scoring knowledge model according to claim 1, wherein the custom scoring knowledge model module is further configured to retrieve a corresponding electronic medical record template in the triage electronic medical record module by inputting different data and screened data by a triage; meanwhile, the user-defined grading knowledge model module configures a quick grading knowledge model used by the patient, determines whether final diagnosis information is met or not according to the evaluation of medical personnel, sends the evaluation content to the triage table, and sends the triage information to the triage database for storage.
6. The rapid triage system based on the configured scoring knowledge model according to claim 1, further comprising a cloud database, wherein the cloud database is used for acquiring relevant data information of the patient at other diagnosis or treatment places and interacting with the medical history database to realize information sharing.
7. The quick triage system based on the configured scoring knowledge model according to claim 1, further comprising a voice module, wherein the voice module comprises a voice input unit, a voice broadcast unit and a voice conversion unit.
8. The rapid triage system based on the configured scoring knowledge model according to claim 1, wherein the rapid triage system is in signal connection with a printer.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184315A (en) * | 2011-04-02 | 2011-09-14 | 中国医学科学院医学信息研究所 | Department triage system based on diagnostic element analysis |
| CN105975740A (en) * | 2016-04-21 | 2016-09-28 | 寇玮蔚 | Medical system with intelligent diagnosis function |
| CN107193919A (en) * | 2017-05-15 | 2017-09-22 | 清华大学深圳研究生院 | The search method and system of a kind of electronic health record |
| CN108305690A (en) * | 2018-02-07 | 2018-07-20 | 王博冉 | The nervous system disease point examines the system for distribution of out-patient department of method and the nervous system disease |
| CN109949932A (en) * | 2019-03-28 | 2019-06-28 | 南开大学 | A kind of judgment method of the essential tremor extent based on machine learning |
| CN110021391A (en) * | 2017-10-09 | 2019-07-16 | 东莞东阳光科研发有限公司 | One kind point examines method and apparatus |
| EP3623970A1 (en) * | 2017-05-12 | 2020-03-18 | Boe Technology Group Co. Ltd. | Medical intelligent triage method and device |
| CN111143226A (en) * | 2019-12-31 | 2020-05-12 | 南京医睿科技有限公司 | Automatic testing method and device, computer readable storage medium and electronic equipment |
| CN112349367A (en) * | 2020-11-11 | 2021-02-09 | 北京嘉和海森健康科技有限公司 | Method and device for generating simulation medical record, electronic equipment and storage medium |
| CN112562836A (en) * | 2020-12-18 | 2021-03-26 | 深圳赛安特技术服务有限公司 | Doctor recommendation method and device, electronic equipment and storage medium |
| CN112734202A (en) * | 2020-12-31 | 2021-04-30 | 平安医疗健康管理股份有限公司 | Medical capability evaluation method, device, equipment and medium based on electronic medical record |
| CN112927777A (en) * | 2021-03-23 | 2021-06-08 | 杭州聪宝科技有限公司 | Intelligent generation system and method of traditional Chinese medicine electronic medical record |
| CN113113138A (en) * | 2021-04-28 | 2021-07-13 | 四川执象网络有限公司 | Portable mobile diagnosis and treatment system with auxiliary diagnosis and treatment capacity |
-
2021
- 2021-07-28 CN CN202110857402.3A patent/CN113571167B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184315A (en) * | 2011-04-02 | 2011-09-14 | 中国医学科学院医学信息研究所 | Department triage system based on diagnostic element analysis |
| CN105975740A (en) * | 2016-04-21 | 2016-09-28 | 寇玮蔚 | Medical system with intelligent diagnosis function |
| EP3623970A1 (en) * | 2017-05-12 | 2020-03-18 | Boe Technology Group Co. Ltd. | Medical intelligent triage method and device |
| CN107193919A (en) * | 2017-05-15 | 2017-09-22 | 清华大学深圳研究生院 | The search method and system of a kind of electronic health record |
| CN110021391A (en) * | 2017-10-09 | 2019-07-16 | 东莞东阳光科研发有限公司 | One kind point examines method and apparatus |
| CN108305690A (en) * | 2018-02-07 | 2018-07-20 | 王博冉 | The nervous system disease point examines the system for distribution of out-patient department of method and the nervous system disease |
| CN109949932A (en) * | 2019-03-28 | 2019-06-28 | 南开大学 | A kind of judgment method of the essential tremor extent based on machine learning |
| CN111143226A (en) * | 2019-12-31 | 2020-05-12 | 南京医睿科技有限公司 | Automatic testing method and device, computer readable storage medium and electronic equipment |
| CN112349367A (en) * | 2020-11-11 | 2021-02-09 | 北京嘉和海森健康科技有限公司 | Method and device for generating simulation medical record, electronic equipment and storage medium |
| CN112562836A (en) * | 2020-12-18 | 2021-03-26 | 深圳赛安特技术服务有限公司 | Doctor recommendation method and device, electronic equipment and storage medium |
| CN112734202A (en) * | 2020-12-31 | 2021-04-30 | 平安医疗健康管理股份有限公司 | Medical capability evaluation method, device, equipment and medium based on electronic medical record |
| CN112927777A (en) * | 2021-03-23 | 2021-06-08 | 杭州聪宝科技有限公司 | Intelligent generation system and method of traditional Chinese medicine electronic medical record |
| CN113113138A (en) * | 2021-04-28 | 2021-07-13 | 四川执象网络有限公司 | Portable mobile diagnosis and treatment system with auxiliary diagnosis and treatment capacity |
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