Single disease medical quality management system and management method based on electronic medical records

Abstract

The present invention relates to the field of medical quality management technology, and specifically, to a single-disease medical quality management system and management method based on electronic medical records. It includes: a data acquisition management unit for collecting electronic medical records of patients with a single disease from a hospital patient information system; a data analysis and monitoring unit for real-time analysis of electronic medical record data of a single disease, and monitoring of medical quality indicators of a single disease. The quality detection and evaluation unit is used to monitor the patient's treatment status and medical service quality in real time; the virtual patient view constructs a virtual human model corresponding to a single-disease patient for each electronic medical record, and the virtual human model displays the electronic medical record data of the single-disease patient as well as the medical staff information and treatment status. The single-disease medical quality management system and management method based on electronic medical records provide patient management tools and improve the real-time monitoring capability of the patient's health status through the combination of virtual patient views and real-time data analysis and monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of medical quality management, and in particular to a single disease medical quality management system and a management method based on electronic medical records. Background Art

[0002] The single-disease medical quality management system and management method based on electronic medical records aims to improve the accuracy and real-time performance of medical services. Through real-time data analysis and virtual patient view display, it controls the treatment quality and health risks of patients with a single disease, and realizes personalized and dynamic management of patients throughout the entire process.

[0003] Existing single-disease medical quality management systems and management methods usually find it difficult to monitor patients' health status in real time and respond to treatment needs in a timely manner. In addition, due to the lack of visualization tools in traditional electronic medical record systems and the island phenomenon between single disease data, the display of patient health data and treatment progress is not intuitive, and the real-time monitoring of health indicators and treatment effects is insufficient. Therefore, a single-disease medical quality management system and management method based on electronic medical records are provided. Summary of the invention

[0004] The purpose of the present invention is to provide a single disease medical quality management system and management method based on electronic medical records, so as to solve the problems raised in the above background technology and caused by the lack of visualization tools in traditional electronic medical record systems and the island phenomenon between single disease data, which leads to the unintuitive display of patient health data and treatment progress and insufficient real-time monitoring of health indicators and treatment effects.

[0005] To achieve the above object, the present invention aims to provide a single disease medical quality management system based on electronic medical records, comprising:

[0006] A data collection management unit, the data collection management unit is used to collect electronic medical records of patients with a single disease from the hospital patient information system, and store the electronic medical record data in a single disease case database;

[0007] It also includes a data analysis and monitoring unit, which is used to analyze the electronic medical record data of a single disease in real time and monitor the medical quality indicators of a single disease.

[0008] It also includes a quality detection and evaluation unit, which is used to monitor the patient's treatment status and medical service quality in real time;

[0009] It also includes a virtual patient view, which constructs a virtual human body model corresponding to a single disease patient for each electronic medical record. The virtual human body model displays the relationship between the electronic medical record data, health indicators, analysis results, and real-time monitored medical quality indicators of the single disease patient based on dynamic health status mapping and priority adjustment algorithm, and optimizes the display order of the electronic medical record data of the single disease patient through dynamic mapping and priority adjustment.

[0010] As a further improvement of the technical solution, the data acquisition management unit includes a data collection module and a data storage module;

[0011] The data collection module is used to search for electronic medical records of patients with a single disease from the hospital patient information system, and to conduct a preliminary check on the electronic medical record data and convert it into a unified format;

[0012] The data storage module is used to store the electronic medical record data of patients with a single disease in a single disease database;

[0013] Among them, the electronic medical record data includes patient basic information, diagnosis information, treatment records, laboratory test results and imaging examination results.

[0014] As a further improvement of the technical solution, the data collection module is used to search for electronic medical record data of patients with a single disease from the hospital patient information system, and perform a preliminary check on the electronic medical record data and convert it into a unified format. The specific method is as follows:

[0015] S1.1. Query the electronic medical records of patients with a single disease in the hospital patient information system based on the single disease diagnosis code and single disease name;

[0016] S1.2. Extract electronic medical record data fields from the electronic medical records of patients with a single disease and export them as a temporary data set;

[0017] S1.3. Identify and delete duplicate electronic medical record records, convert temporary data sets into a unified standard format, and map the extracted data fields to the corresponding fields in the single disease database.

[0018] As a further improvement of the technical solution, the data analysis monitoring unit includes a data analysis module and a quality indicator monitoring module;

[0019] The data analysis module extracts single disease data from the single disease database and uses Apache Flink to analyze abnormal single disease data in real time;

[0020] The quality indicator monitoring module continuously monitors and evaluates key medical quality indicators of a single disease based on the real-time health data and treatment progress of patients with the single disease.

[0021] As a further improvement of the technical solution, the quality detection and evaluation unit includes a treatment status monitoring module and a medical service quality evaluation module;

[0022] The treatment status monitoring module monitors the treatment progress and treatment compliance of patients with a single disease in real time, tracks key health indicators in real time, and issues alarms for abnormal conditions in the virtual patient view;

[0023] The medical service quality assessment module monitors and evaluates the compliance of clinical pathways based on medical quality indicators and collects feedback information from patients with a single disease.

[0024] As a further improvement of the technical solution, the specific steps of the treatment status monitoring module for real-time monitoring of the treatment progress and treatment compliance of patients with a single disease are as follows:

[0025] S3.1. Obtain patient treatment data and health indicator data in real time from single disease databases, patient monitoring equipment, electronic medical record systems, etc.;

[0026] S3.2. Match the patient's current treatment progress with the planned treatment plan, monitor in real time whether it is being implemented as planned, and compare the actual treatment progress with the expected goal;

[0027] S3.3. Real-time tracking of patients’ medication records, monitoring whether patients follow up on time and undergo medical examinations;

[0028] S3.4. Use sliding window technology to monitor health indicator data trends, detect abnormal health indicator values, and record timestamps;

[0029] S3.5, integrating the detected abnormal health indicator data and treatment compliance issues into the virtual patient view, transmitting the abnormal conditions to the virtual patient view in real time, and updating the patient's virtual human model interface;

[0030] S3.6. When abnormalities in key health indicators and treatment compliance issues are detected, the alarm mechanism is triggered and the abnormal situation is flashing in the virtual patient view.

[0031] As a further improvement of the technical solution, the virtual patient view includes a virtual human body model construction module and an integrated interactive alarm module;

[0032] The virtual human model building module customizes the virtual human model according to the patient's gender, age and disease information, and generates a virtual human model for each patient with a single disease;

[0033] The integrated interactive alarm module is used to integrate single disease data and quality indicators, build an interactive interface for the virtual patient view, and display and respond to abnormal situations in real time in the virtual patient view.

[0034] As a further improvement of the technical solution, the virtual human model construction module customizes the virtual human model according to the patient's gender, age and disease information, and generates a virtual human model for each patient with a single disease. The specific method is as follows:

[0035] S4.1.1. Obtain the gender, age and single disease information of patients with single diseases from the single disease database;

[0036] S4.1.2. Encode gender information as a numeric value, classify the patient into age groups based on age, and assign an identifier to each single disease;

[0037] S4.1.3. Select the basic model based on gender information and mark the pathological area on the virtual human model based on the single disease information;

[0038] S4.1.4. Map the patient's health indicator data to the corresponding parts of the virtual model, and add annotations and labels to the key parts of the virtual human model to display the health data of patients with a single disease;

[0039] S4.1.5. Obtain real-time single disease data streams from the data analysis and monitoring unit and the quality inspection and evaluation unit by preliminarily mapping them to the corresponding parts of the virtual human model, classify the electronic medical record data, health indicators, analysis results, and medical quality indicators of patients with single diseases into different types of data sets, and preliminarily map them to the corresponding parts of the virtual human model.

[0040] As a further improvement of the technical solution, the integrated interactive alarm module uses dynamic health status mapping and priority adjustment algorithm to display the relationship between the electronic medical record data, health indicators, analysis results, and real-time monitored medical quality indicators of patients with a single disease, and optimizes the display order of the electronic medical record data of patients with a single disease through dynamic mapping and priority adjustment. The specific method is as follows:

[0041] S4.2.1. Obtain real-time single disease data streams from the data analysis and monitoring unit and the quality inspection and evaluation unit and preliminarily map them to the corresponding parts of the virtual human model, classify the electronic medical record data, health indicators, analysis results, and medical quality indicators of patients with single diseases into different types of data sets, and preliminarily map them to the corresponding parts of the virtual human model;

[0042] S4.2.2. Monitor the patient’s health data in real time and calculate the risk level of each indicator , for each data set Assign initial priorities and adjust each data set based on real-time monitoring results Priority ;

[0043] ;

[0044] in, is the actual value of the current health indicator; It is the center value of the normal range of health indicators; is the standard deviation of the health index, indicating the fluctuation range of the normal range;

[0045] ;

[0046] in, For the dataset The association weight with the health indicator indicates the importance of the health indicator in the data set; is the risk level; is the number of health indicators;

[0047] S4.2.3. Based on the calculated priority Dynamically adjust the mapping display position of each data set in the virtual human model and display intensity ;

[0048] ;

[0049] ;

[0050] in, For the dataset Initial placement of For the dataset The initial display intensity of To adjust the coefficient, control the impact of priority on placement; To adjust the coefficient, control the impact of priority on display intensity.

[0051] On the other hand, the present invention provides a single disease medical quality management method based on electronic medical records, which is used in the above-mentioned single disease medical quality management system based on electronic medical records, and includes the following steps:

[0052] S1. Collect the electronic medical record data of patients with a single disease from the hospital patient information system and store these data in the single disease case database;

[0053] S2. Real-time analysis of electronic medical record data stored in the single disease case database to monitor key single disease medical quality indicators;

[0054] S3. Real-time monitoring of patients’ treatment progress and medical service quality;

[0055] S4. Build a virtual human model for each patient, comprehensively display electronic medical record data, health indicators, analysis results and real-time monitoring of medical quality indicators, and display medical staff information, department information, treatment progress, treatment cycle and each treatment link.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] 1. In the single-disease medical quality management system and management method based on electronic medical records, through real-time data analysis and monitoring, instant monitoring of patient health indicators and rapid response to abnormal situations can be achieved to ensure the accuracy and timeliness of medical services.

[0058] 2. In the single-disease medical quality management system and management method based on electronic medical records, the virtual patient view can intuitively display the patient's real-time health data and treatment progress, thereby improving medical staff's understanding of the patient's condition and management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is the overall flow chart of the present invention.

[0060] The meaning of each number in the figure is:

[0061] 1. Data collection and management unit; 2. Data analysis and monitoring unit; 3. Quality inspection and evaluation unit; 4. Virtual patient view. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] Embodiment 1:

[0064] See also Figure 1 As shown in the figure, a single disease medical quality management system based on electronic medical records is provided, including:

[0065] A data collection management unit 1, which is used to collect electronic medical records of patients with a single disease from a hospital patient information system and store the electronic medical record data in a single disease case database. The data collection management unit 1 includes a data collection module and a data storage module;

[0066] The data collection module is used to search for electronic medical records of patients with a single disease from the hospital patient information system, and to conduct a preliminary check on the electronic medical record data and convert it into a unified format;

[0067] The data storage module is used to store the electronic medical record data of patients with a single disease in a single disease database;

[0068] Among them, the electronic medical record data includes patient basic information, diagnosis information, treatment records, laboratory test results and imaging examination results.

[0069] The single disease database example is as follows:

[0070] 1. Create the Patients table:

[0071] CREATE TABLE Patients (

[0072] PatientID NUMBER PRIMARY KEY,

[0073] FirstName VARCHAR2(50),

[0074] LastName VARCHAR2(50),

[0075] Gender VARCHAR2(10),

[0076] BirthDate DATE,

[0077] ContactInfo VARCHAR2(100),

[0078] Address VARCHAR2(255) );

[0080] 2. Create the MedicalRecords table:

[0081] CREATE TABLE MedicalRecords (

[0082] RecordID NUMBER PRIMARY KEY,

[0083] PatientID NUMBER,

[0084] Diagnosis VARCHAR2(255),

[0085] VisitDate DATE,

[0086] DoctorID NUMBER,

[0087] Notes CLOB,

[0088] CONSTRAINT fk_patient

[0089] FOREIGN KEY (PatientID)

[0090] REFERENCES Patients(PatientID) );

[0092] III. Create the LabResults table:

[0093] CREATE TABLE LabResults (

[0094] ResultID NUMBER PRIMARY KEY,

[0095] RecordID NUMBER,

[0096] TestName VARCHAR2(100),

[0097] TestDate DATE,

[0098] TestResult VARCHAR2(255),

[0099] CONSTRAINT fk_record

[0100] FOREIGN KEY (RecordID)

[0101] REFERENCES MedicalRecords(RecordID) );

[0103] IV. Create the Medications table:

[0104] CREATE TABLE Medications (

[0105] MedicationID NUMBER PRIMARY KEY,

[0106] RecordID NUMBER,

[0107] MedicationName VARCHAR2(100),

[0108] Dosage VARCHAR2(50),

[0109] StartDate DATE,

[0110] EndDate DATE,

[0111] CONSTRAINT fk_record_med

[0112] FOREIGN KEY (RecordID)

[0113] REFERENCES MedicalRecords(RecordID) );

[0115] 5. Create the Appointments table:

[0116] CREATE TABLE Appointments (

[0117] AppointmentID NUMBER PRIMARY KEY,

[0118] PatientID NUMBER,

[0119] AppointmentDate DATE,

[0120] DoctorID NUMBER,

[0121] Purpose VARCHAR2(255),

[0122] Notes CLOB,

[0123] CONSTRAINT fk_patient_app

[0124] FOREIGN KEY (PatientID)

[0125] REFERENCES Patients(PatientID) );

[0127] The data collection module is used to search for electronic medical record data of patients with a single disease from the hospital patient information system, and to perform a preliminary check on the electronic medical record data and convert it into a unified format. The specific method is as follows:

[0128] S1.1. Query the electronic medical records of patients with a single disease in the hospital patient information system based on the single disease diagnosis code and single disease name;

[0129] S1.2. Extract electronic medical record data fields from the electronic medical records of patients with a single disease and export them as a temporary data set;

[0130] S1.3. Identify and delete duplicate electronic medical record records, convert temporary data sets into a unified standard format, and map the extracted data fields to the corresponding fields in the single disease database.

[0131] Use SQL queries to remove duplicates. If the same patient has the same diagnosis or records on the same date, these records may be considered duplicates.

[0132] Determine the standard format of the single disease database, including field name, data type, date format, value format, etc.; use SQL functions to unify the formats of dates, texts, values, etc.;

[0133] Create a field mapping table to list the fields in the temporary dataset and their corresponding fields in the single disease database to ensure that each field can be mapped correctly to avoid data loss or misleading;

[0134] The field mapping relationship is as follows:

[0135] Temporary data set field -> Single disease database field

[0136] TempPatientID -> PatientID

[0137] TempVisitDate——>VisitDate

[0138] TempDiagnosis——>Diagnosis

[0139] TempDoctorID -> DoctorID

[0140] TempNotes——>Notes;

[0141] It also includes a data analysis and monitoring unit 2, which is used to analyze the electronic medical record data of a single disease in real time and monitor the medical quality indicators of a single disease. The data analysis and monitoring unit 2 includes a data analysis module and a quality indicator monitoring module;

[0142] The data analysis module extracts single disease data from the single disease database and uses Apache Flink to analyze abnormal single disease data in real time;

[0143] The quality indicator monitoring module continuously monitors and evaluates key medical quality indicators of a single disease based on the real-time health data and treatment progress of patients with the single disease.

[0144] In this embodiment, the data analysis module extracts single disease data from the single disease database and uses Apache Flink to analyze abnormal single disease data in real time. The specific steps are as follows:

[0145] S2.1. Receive the patient's electronic medical record data stream from the single disease database in real time, including patient ID, measurement time, systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), etc., and use this data as Flink's stream input;

[0146] S2.2. Use sliding windows to aggregate and analyze data to detect continuous anomalies. Use sliding windows to aggregate and analyze data to detect continuous anomalies:

[0147] val abnormalStream: DataStream[AbnormalEvent] = preprocessedStream

[0148] .keyBy(_.patientId)

[0149] .window(SlidingProcessingTimeWindows.of(Time.minutes(5),Time.minutes(1)))

[0150] .apply(new WindowFunction[PatientData, AbnormalEvent, String,TimeWindow] {

[0151] override def apply(key: String, window: TimeWindow, input:Iterable[PatientData], out: Collector[AbnormalEvent]): Unit = {

[0152] val abnormalConditions = input.filter(data =>

[0153] data.sbp.exists(sbp => sbp > 180 || sbp < 90) ||

[0154] data.dbp.exists(dbp => dbp > 120 || dbp < 60) ||

[0155] data.hr.exists(hr => hr > 100 || hr < 50) )

[0157] if (abnormalConditions.size >= 3) {

[0158] out.collect(AbnormalEvent(key, "Blood pressure or heart rateabnormal in the last 3 measurements", window.getEnd))

[0159] }}})

[0160] S2.3, outputting the detected abnormal situation as an event stream, including information such as patient ID, abnormal description, timestamp, etc., and transmitting the abnormal event to the virtual patient view 4 for real-time display;

[0161] It also includes a quality detection and evaluation unit 3, which is used to monitor the patient's treatment status and medical service quality in real time. The quality detection and evaluation unit 3 includes a treatment status monitoring module and a medical service quality evaluation module;

[0162] The treatment status monitoring module monitors the treatment progress and treatment compliance of patients with a single disease in real time, tracks key health indicators in real time, and issues an alarm for abnormal conditions in the virtual patient view 4;

[0163] The medical service quality assessment module monitors and evaluates the compliance of clinical pathways based on medical quality indicators and collects feedback information from patients with a single disease.

[0164] The specific steps of the treatment status monitoring module for real-time monitoring of the treatment progress and treatment compliance of patients with a single disease are as follows:

[0165] S3.1. Obtain patient treatment data and health indicator data in real time from single disease databases, patient monitoring equipment, electronic medical record systems, etc.;

[0166] S3.2. Match the patient's current treatment progress with the planned treatment plan, monitor in real time whether it is being implemented as planned, and compare the actual treatment progress with the expected goal;

[0167] S3.3. Real-time tracking of patients’ medication records, monitoring whether patients follow up on time and undergo medical examinations;

[0168] S3.4. Use sliding window technology to monitor health indicator data trends, detect abnormal health indicator values, and record timestamps;

[0169] S3.5, integrating the detected abnormal health indicator data and treatment compliance issues into the virtual patient view 4, transmitting the abnormal conditions to the virtual patient view in real time, and updating the patient's virtual human model interface;

[0170] S3.6. When abnormalities in key health indicators and treatment compliance issues are detected, the alarm mechanism is triggered and the abnormal situation is flashing in the virtual patient view.

[0171] It also includes a virtual patient view 4, wherein the virtual patient view 4 constructs a virtual human model corresponding to a single disease patient for each electronic medical record, and the virtual human model displays the relationship between the electronic medical record data, health indicators, analysis results, and real-time monitored medical quality indicators of the single disease patient based on a dynamic health status mapping and priority adjustment algorithm, and optimizes the display order of the electronic medical record data of the single disease patient through dynamic mapping and priority adjustment;

[0172] The virtual patient view 4 includes a virtual human model building module and an integrated interactive alarm module;

[0173] The virtual human model building module customizes the virtual human model according to the patient's gender, age and disease information, and generates a virtual human model for each patient with a single disease;

[0174] The integrated interactive alarm module is used to integrate single disease data and quality indicators, build an interactive interface for the virtual patient view, and display and respond to abnormal situations in real time in the virtual patient view 4.

[0175] The virtual human model construction module customizes the virtual human model according to the patient's gender, age and disease information, and generates a virtual human model for each patient with a single disease. The specific method is as follows:

[0176] S4.1.1. Obtain the gender, age and single disease information of patients with single diseases from the single disease database;

[0177] S4.1.2. Encode gender information as a numeric value, classify the patient into age groups based on age, and assign an identifier to each single disease;

[0178] S4.1.3. Select the basic model based on gender information and mark the pathological area on the virtual human model based on the single disease information;

[0179] S4.1.4. Map the patient's health indicator data to the corresponding parts of the virtual model, and add annotations and labels to the key parts of the virtual human model to display the health data of patients with a single disease;

[0180] S4.1.5. Obtain real-time single disease data stream from the data analysis and monitoring unit 2 and the quality inspection and evaluation unit 3 by preliminarily mapping them to the corresponding parts of the virtual human model, classify the electronic medical record data, health indicators, analysis results, and medical quality indicators of patients with single diseases into different types of data sets, and preliminarily map them to the corresponding parts of the virtual human model.

[0181] The integrated interactive alarm module uses dynamic health status mapping and priority adjustment algorithms to display the relationship between the electronic medical record data, health indicators, analysis results, and real-time monitored medical quality indicators of patients with a single disease, and optimizes the display order of the electronic medical record data of patients with a single disease through dynamic mapping and priority adjustment. The specific methods are as follows:

[0182] S4.2.1. Obtain real-time single disease data streams from the data analysis and monitoring unit 2 and the quality inspection and evaluation unit 3 and preliminarily map them to corresponding parts of the virtual human model, classify the electronic medical record data, health indicators, analysis results, and medical quality indicators of patients with single diseases into different types of data sets, and preliminarily map them to corresponding parts of the virtual human model;

[0183] S4.2.2. Monitor the patient’s health data in real time and calculate the risk level of each indicator , for each data set Assign initial priorities and adjust each data set based on real-time monitoring results Priority ;

[0184] ;

[0185] in, is the actual value of the current health indicator; It is the center value of the normal range of health indicators; is the standard deviation of the health index, indicating the fluctuation range of the normal range;

[0186] ;

[0187] in, For the dataset The association weight with the health indicator indicates the importance of the health indicator in the data set; is the risk level; is the number of health indicators;

[0188] S4.2.3. Based on the calculated priority Dynamically adjust the mapping display position of each data set in the virtual human model and display intensity ;

[0189] ;

[0190] ;

[0191] in, For the dataset Initial placement of For the dataset The initial display intensity of To adjust the coefficient, control the impact of priority on placement; To adjust the coefficient, control the impact of priority on display intensity.

[0192] Embodiment 2:

[0193] The difference between Example 2 of the present invention and Example 1 is that this example introduces the static mechanical properties collection and analysis method used in the single disease medical quality management system based on electronic medical records.

[0194] The single disease medical quality management method based on electronic medical records is used for the above-mentioned single disease medical quality management system based on electronic medical records, and includes the following steps:

[0195] S1. Collect the electronic medical record data of patients with a single disease from the hospital patient information system and store these data in the single disease case database;

[0196] S2. Real-time analysis of electronic medical record data stored in the single disease case database to monitor key single disease medical quality indicators;

[0197] S3. Real-time monitoring of patients’ treatment progress and medical service quality;

[0198] S4. Build a virtual human model for each patient, comprehensively display electronic medical record data, health indicators, analysis results and real-time monitoring of medical quality indicators, and display medical staff information, department information, treatment progress, treatment cycle and each treatment link.

[0199] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A single disease medical quality management system based on electronic medical records, characterized by: include: A data collection management unit (1), the data collection management unit (1) is used to collect electronic medical records of patients with a single disease from a hospital patient information system, and store the electronic medical record data in a single disease case database; A data analysis and monitoring unit (2), the data analysis and monitoring unit (2) is used to analyze electronic medical record data of a single disease in real time and monitor medical quality indicators of the single disease; A quality detection and evaluation unit (3), the quality detection and evaluation unit (3) being used to monitor the patient's treatment status and medical service quality in real time; A virtual patient view (4), wherein the virtual patient view (4) constructs a virtual human model corresponding to a single disease patient for each electronic medical record, and the virtual human model displays the relationship between the electronic medical record data, health indicators, analysis results, and real-time monitored medical quality indicators of the single disease patient based on a dynamic health status mapping and priority adjustment algorithm, and optimizes the display order of the electronic medical record data of the single disease patient through dynamic mapping and priority adjustment; The virtual patient view (4) includes a virtual human body model building module and an integrated interactive alarm module; The virtual human model building module customizes the virtual human model according to the patient's gender, age and disease information, and generates a virtual human model for each patient with a single disease; The integrated interactive alarm module is used to integrate single disease data and quality indicators, build an interactive interface of a virtual patient view, and use a dynamic health status mapping and priority adjustment algorithm to display the relationship between the electronic medical record data, health indicators, analysis results, and real-time monitored medical quality indicators of patients with a single disease, and optimize the display order of the electronic medical record data of patients with a single disease through dynamic mapping and priority adjustment, and display and respond to abnormal situations in real time in the virtual patient view (4); The integrated interactive alarm module uses dynamic health status mapping and priority adjustment algorithms to display the relationship between the electronic medical record data, health indicators, analysis results, and real-time monitored medical quality indicators of patients with a single disease, and optimizes the display order of the electronic medical record data of patients with a single disease through dynamic mapping and priority adjustment. The specific method is as follows: S4.2.

1. Obtain real-time single disease data streams from the data analysis and monitoring unit (2) and the quality inspection and evaluation unit (3), and preliminarily map them to corresponding parts of the virtual human model; classify the electronic medical record data, health indicators, analysis results, and medical quality indicators of patients with single diseases into different types of data sets, and preliminarily map them to corresponding parts of the virtual human model; S4.2.

2. Monitor the patient’s health data in real time and calculate the risk level of each indicator , for each data set Assign initial priorities and adjust each data set based on real-time monitoring results Priority ; ; in, is the actual value of the current health indicator; It is the center value of the normal range of health indicators; is the standard deviation of the health index, indicating the fluctuation range of the normal range; ; in, For the dataset The association weight with the health indicator indicates the importance of the health indicator in the data set; is the risk level; is the number of health indicators; S4.2.

3. Based on the calculated priority Dynamically adjust the mapping display position of each data set in the virtual human model and display intensity ; ; ; in, For the dataset Initial placement of For the dataset The initial display intensity of To adjust the coefficient, control the impact of priority on placement; To adjust the coefficient, control the impact of priority on display intensity.

2. According to claim 1, the single disease medical quality management system based on electronic medical records is characterized by: The data acquisition management unit (1) comprises a data collection module and a data storage module; The data collection module is used to search for electronic medical records of patients with a single disease from the hospital patient information system, and to conduct a preliminary check on the electronic medical record data and convert it into a unified format; The data storage module is used to store the electronic medical record data of patients with a single disease in a single disease database; Among them, the electronic medical record data includes patient basic information, diagnosis information, treatment records, laboratory test results and imaging examination results.

3. The single disease medical quality management system based on electronic medical records according to claim 2 is characterized by: The data collection module is used to search for electronic medical record data of patients with a single disease from the hospital patient information system, and to perform a preliminary check on the electronic medical record data and convert it into a unified format. The specific method is as follows: S1.

1. Query the electronic medical records of patients with a single disease in the hospital patient information system based on the single disease diagnosis code and single disease name; S1.

2. Extract electronic medical record data fields from the electronic medical records of patients with a single disease and export them as a temporary data set; S1.

3. Identify and delete duplicate electronic medical record records, convert temporary data sets into a unified standard format, and map the extracted data fields to the corresponding fields in the single disease database.

4. The single disease medical quality management system based on electronic medical records according to claim 1 is characterized by: The data analysis and monitoring unit (2) comprises a data analysis module and a quality indicator monitoring module; The data analysis module extracts single disease data from the single disease database and uses Apache Flink to analyze abnormal single disease data in real time; The quality indicator monitoring module continuously monitors and evaluates key medical quality indicators of a single disease based on the real-time health data and treatment progress of patients with the single disease.

5. The single disease medical quality management system based on electronic medical records according to claim 1 is characterized by: The quality detection and evaluation unit (3) includes a treatment status monitoring module and a medical service quality evaluation module; The treatment status monitoring module monitors the treatment progress and treatment compliance of patients with a single disease in real time, tracks key health indicators in real time, and issues an alarm for abnormal conditions in the virtual patient view (4); The medical service quality assessment module monitors and evaluates the compliance of clinical pathways based on medical quality indicators and collects feedback information from patients with a single disease.

6. The single disease medical quality management system based on electronic medical records according to claim 5 is characterized by: The specific steps of the treatment status monitoring module for real-time monitoring of the treatment progress and treatment compliance of patients with a single disease are as follows: S3.

1. Obtain patient treatment data and health indicator data in real time from single disease databases, patient monitoring equipment, electronic medical record systems, etc.; S3.

2. Match the patient's current treatment progress with the planned treatment plan, monitor in real time whether it is being implemented as planned, and compare the actual treatment progress with the expected goal; S3.

3. Real-time tracking of patients’ medication records, monitoring whether patients follow up on time and undergo medical examinations; S3.

4. Use sliding window technology to monitor health indicator data trends, detect abnormal health indicator values, and record timestamps; S3.5, integrating the detected abnormal health indicator data and treatment compliance issues into the virtual patient view (4), transmitting the abnormal conditions to the virtual patient view in real time, and updating the patient's virtual human model interface; S3.

6. When abnormalities in key health indicators and treatment compliance issues are detected, the alarm mechanism is triggered and the abnormal situation is flashing in the virtual patient view.

7. The single disease medical quality management system based on electronic medical records according to claim 6 is characterized by: The virtual human model building module customizes the virtual human model according to the patient's gender, age and disease information, and generates a virtual human model for each patient with a single disease. The specific method is as follows: S4.1.

1. Obtain the gender, age and single disease information of patients with single diseases from the single disease database; S4.1.

2. Encode gender information as a numerical value, divide the patient into age groups based on age, and assign an identifier to each single disease; S4.1.

3. Select the basic model based on gender information and mark the pathological area on the virtual human model based on the single disease information; S4.1.

4. Map the patient's health indicator data to the corresponding parts of the virtual model, and add annotations and labels to the key parts of the virtual human model to display the health data of patients with a single disease; S4.1.

5. Obtain real-time single disease data streams from the data analysis and monitoring unit (2) and the quality inspection and evaluation unit (3) by preliminarily mapping them to corresponding parts of the virtual human model, classify the electronic medical record data, health indicators, analysis results, and medical quality indicators of patients with single diseases into different types of data sets, and preliminarily map them to corresponding parts of the virtual human model.

8. A single disease medical quality management method based on electronic medical records, used in a single disease medical quality management system based on electronic medical records as claimed in any one of claims 1 to 7, characterized in that: The steps include: S10.

1. Collect electronic medical record data of patients with a single disease from the hospital patient information system and store these data in a single disease case database; S10.

2. Conduct real-time analysis of electronic medical record data stored in the single disease case database to monitor key single disease medical quality indicators; S10.

3. Real-time monitoring of patients’ treatment progress and quality of medical services; S10.

4. Build a virtual human model for each patient, comprehensively display electronic medical record data, health indicators, analysis results and real-time monitored medical quality indicators, and display medical staff information, department information, treatment progress, treatment cycle and each treatment link.

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