Medical resource information processing supervision system based on multi-dimensional data

Abstract

The application discloses a medical resource information processing supervision system based on multidimensional data and belongs to the technical field of resource information processing supervision; and is used to solve the technical problems of poor self-supervision and dynamic control effect of medical resources in different departments in the prior art; the application monitors and counts the medical data of different doctors in a department at different times, integrates and calculates the medical data in different aspects to obtain the medical treatment identification of the doctors on the same day, monitors and digitizes the whole process of waiting and medical treatment of individual patients, integrates and calculates the service processing identification of the doctors, integrates and calculates the monitoring analysis data of different dimensions of the doctors to obtain the corresponding service state value, integrates and calculates all the service state values of all the doctors in the department in a monitoring period to determine the resource support degree of the department, and dynamically manages the medical resources of the department according to the resource support degree.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of resource information processing supervision, and particularly relates to a medical resource information processing supervision system based on multidimensional data. BACKGROUND

[0002] Medical resources refer to various production factors required for providing medical services, mainly including personnel, medical expenses, medical institutions, medical beds, medical facilities and equipment, knowledge and skills, etc.

[0003] The existing medical resource information processing supervision scheme cannot supervise and analyze the working states of different doctors in different departments from different dimensions, and cannot integrate the analysis results of different dimensions to evaluate and dynamically manage the overall medical resource state of different departments, resulting in poor self-supervision and dynamic management effect of medical resources in different departments. SUMMARY

[0004] The present application relates to the technical field of resource information processing supervision, and particularly relates to a medical resource information processing supervision system based on multidimensional data.

[0005] The purpose of the present application can be achieved by the following technical solutions:

[0006] The medical resource information processing supervision system based on multidimensional data comprises a department doctor work monitoring and processing module for monitoring and counting the daily appointment data of all doctors in the department, and dynamically marking and classifying different doctors in the department according to the appointment data;

[0007] The department doctor state monitoring and processing module is used for supervising and processing the working state of different doctors in the department from different aspects of patients, and integrating the corresponding service processing identifier and service processing state of the doctor according to the monitoring and processing results of all patients served by the doctor on the same day;

[0008] The department medical resource supervision module is used for supervising and analyzing the overall service state of different doctors in the department, and determining the resource support degree of the department according to the overall service state of different doctors, and dynamically managing the medical resources of the department according to the resource support degree.

[0009] Preferably, when the doctor in the department starts work, the real-time number of available appointments on the same day is obtained and analyzed, and if the real-time number of available appointments is 0, the doctor is marked as a first appointment abnormal doctor and the associated appointment identifier is set to B1.

[0010] If the number of patients who can be scheduled for real-time consultation is not 0, the doctor is marked as the first scheduled normal doctor and the associated scheduling identifier is set to B2;

[0011] When the doctors in the department finish their work, the number of patients handled in real time on the same day is obtained and analyzed. If the number of patients handled in real time is greater than or equal to the number of patients scheduled for consultation corresponding to the doctor, the doctor is marked as the second scheduled abnormal doctor and the associated handling identifier is set to C1;

[0012] If the number of patients handled in real time is less than the number of patients scheduled for consultation corresponding to the doctor, the doctor is marked as the second scheduled normal doctor and the associated handling identifier is set to C2.

[0013] Preferably, the identifier setting at different times is performed by a consultation handling identification segmentation function The consultation handling identifier JCi corresponding to the different doctors in the department on the same day is calculated; in the formula, k = 1, 2; Bk = B1, B2; Ck = C1, C2; JCi is the consultation handling identifier corresponding to the different doctors on the same day; i is the different doctors in the department, i = 1, 2, 3, …, n; n is a positive integer;

[0014] The consultation handling identifiers corresponding to the different consultation times of the doctors in the department are sorted and combined to obtain the consultation handling sequence corresponding to the doctors.

[0015] Preferably, the reporting time stamp of the patient from the self-service machine for self-reporting and the calling time stamp corresponding to the patient being called are obtained, and the continuous calling time stamp corresponding to the patient being called after the patient finishes the consultation is obtained; the total waiting time between the calling time stamp and the reporting time stamp is calculated, and the consultation time between the continuous calling time stamp and the calling time stamp is calculated, and the consultation service identification segmentation function The individual handling identifier corresponding to the patient is calculated; in the formula, GCj is the individual handling identifier corresponding to the different patients of the doctor on the same day; j is the different patients of the doctor on the same day, j = 1, 2, 3, …, m; m is a positive integer; TDj is the total waiting time corresponding to the different patients; TDj0 is the standard total waiting time corresponding to the patient; TZj is the consultation time of the patient; TZj0 is the standard consultation time of the patient;

[0016] The individual handling identifiers corresponding to all the patients of the doctor on the same day are arranged in order of consultation time to obtain the consultation service sequence corresponding to the doctor.

[0017] Preferably, TDj0 can be calculated by the formula TDj0 = Jj x TD'j0; Jj is the waiting number corresponding to the patient; TD'j0 is the standard waiting time of a single patient.

[0018] Preferably, when integrating the regulatory processing results corresponding to all patients served by the doctor on the day, the service sequence is passed through the formula The service processing identifier FCi corresponding to the doctor is calculated; in the formula, B is the standard service processing value corresponding to the department doctor;

[0019] When the service processing identifier corresponding to the doctor on the day is determined, if the service processing identifier is less than or equal to 0, a daily service processing normal instruction is generated and the doctor is associated with a service processing normal state;

[0020] On the contrary, a daily service processing abnormal instruction is generated and the doctor is associated with a service processing abnormal state;

[0021] The service processing identifiers corresponding to the doctors of different departments at different visit times are sorted and combined to obtain the service processing sequence corresponding to the doctor.

[0022] Preferably, when the overall service state of different doctors in the department is monitored and analyzed, the service state value FZi corresponding to each doctor on the day is calculated by the formula FZi=(JCi+FCi) / 2;

[0023] The service state value is digitally analyzed and processed, and if the service state value is less than or equal to 1, the service state identifier corresponding to the doctor is set to 0;

[0024] On the contrary, the service state identifier corresponding to the doctor is set to 1.

[0025] Preferably, the service state identifiers corresponding to all doctors in the department are counted within the monitoring period, and the corresponding resource support degree ZC is calculated by the formula ; in the formula, FZi is the service state value corresponding to the doctor in the department, N is the total number of days corresponding to the monitoring period, and C is the standard resource support value corresponding to the department;

[0026] When the medical resources of the department are dynamically managed according to the resource support degree, the medical resources of the department are maintained according to the resource support degree with a value of 0, 1 or 2, the medical resources in the department are collaboratively managed, or the medical resources of the department are managed from the outside.

[0027] Compared with the prior art, the present application has the following advantages:

[0028] The present application can realize digital representation of the visit processing state of the doctors in the department on the day, and can provide reliable local monitoring processing data support for subsequent monitoring and analysis of the overall visit processing state of the doctors in the department.

[0029] The application realizes digital representation of the overall service processing state of the doctor on the patient dimension by monitoring and digitizing the whole process of the individual patient waiting for the visit, and integrating and calculating the processing data corresponding to all patients of the doctor's daily visit service to obtain the service processing identifier corresponding to the doctor, and can also provide reliable local patient monitoring data support for subsequent periodic medical resource evaluation of the department doctor, thereby improving the diversity of the department doctor's visit service monitoring processing.

[0030] The application obtains the corresponding service state value by integrating and calculating the monitoring analysis data of different dimensions of the doctor every day, integrates and calculates all service state values corresponding to all doctors in the department within the monitoring period to determine the resource support degree corresponding to the department, and dynamically manages the medical resources of the department according to the resource support degree, thereby improving the self-regulatory effect of the medical resources of the department and the targeted management and control effect. BRIEF DESCRIPTION OF DRAWINGS

[0031] The application will be further described below with reference to the accompanying drawings.

[0032] Fig. 1 The module block diagram of the medical resource information processing supervision system based on multi-dimensional data of the application.

[0033] Fig. 2 The flowchart of the operation of the medical resource information processing supervision system based on multi-dimensional data of the application. DETAILED DESCRIPTION

[0034] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0035] As shown in the accompanying drawings, Figs. 1-2 The application is a medical resource information processing supervision system based on multi-dimensional data, which comprises a department doctor work monitoring processing module, a department doctor state monitoring processing module and a department medical resource supervision module.

[0036] The department doctor work monitoring processing module is used for monitoring and counting the daily visit appointment data of all doctors in the department, and dynamically marking and classifying different doctors in the department according to the visit appointment data.

[0037] When the doctors in the department start work, the real-time number of appointments for the day is obtained and analyzed, and if the real-time number of appointments is 0, the doctor is marked as a first appointment abnormal doctor and the appointment identifier associated with the doctor is set to B1; B1 indicates that the doctor's appointment is in a full load state;

[0038] If the real-time number of appointments is not 0, the doctor is marked as a first appointment normal doctor and the appointment identifier associated with the doctor is set to B2;

[0039] In addition, when the doctors in the department finish work, the real-time number of appointments for the day is obtained and analyzed, and if the real-time number of appointments is greater than or equal to the standard number of appointments corresponding to the doctor, the doctor is marked as a second appointment abnormal doctor and the processing identifier associated with the doctor is set to C1; C1 indicates that the doctor's appointment is in a full load state; The case of being greater than the standard number of appointments corresponding to the doctor can be that the doctor temporarily adds a number to serve the patient;

[0040] If the real-time number of appointments is less than the standard number of appointments corresponding to the doctor, the doctor is marked as a second appointment normal doctor and the processing identifier associated with the doctor is set to C2; The standard number of appointments can be determined according to the existing appointment number release rule of the doctor;

[0041] It should be noted that in the embodiments of the present application, the doctor's appointment data corresponding to different doctors in the department is monitored and counted in different aspects from different time points, which can provide reliable appointment dimension data support for subsequent overall appointment state analysis of the doctor;

[0042] The identification setting at different times is segmented by the appointment processing identification function The appointment processing identifier JCi corresponding to the doctor in the department on the day is calculated; in the formula, k=1, 2; Bk=B1, B2; Ck=C1, C2; JCi is the appointment processing identifier corresponding to the doctor on the day; i is different doctors in the department, i=1, 2, 3, …, n; n is a positive integer;

[0043] It should be noted that the appointment processing identifier is used to integrate and calculate the identification setting corresponding to the doctor at different times to digitally represent the appointment processing state of the doctor on the day;

[0044] The appointment state identifier contains a value of 0 or 1, indicating that the corresponding doctor's appointment processing on the day is normal or abnormal;

[0045] The appointment processing identifiers corresponding to different appointment times of the doctors in the department are sorted and combined to obtain the appointment processing sequence corresponding to the doctor;

[0046] In the embodiment of the present application, by monitoring and counting the medical data corresponding to different doctors in the department from different times, and integrating and calculating the medical data in different aspects to obtain the medical treatment identifier corresponding to the doctor on the same day, the medical treatment state of different doctors in the department on the same day can be digitally represented, and reliable local monitoring and processing data support can be provided for subsequent monitoring and analysis of the overall medical treatment state of different doctors in the department.

[0047] The department doctor state monitoring and processing module is configured to supervise and process the working state of the daily medical service of different doctors in the department from different aspects of the patients, and integrate the supervision and processing results of all patients served by the doctor on the same day to obtain the corresponding service processing identifier and service processing state; and includes:

[0048] The reporting timestamp of the patient from the self-service machine and the calling timestamp corresponding to the patient being called are obtained, and the continuous calling timestamp corresponding to the patient being called after the next patient is treated is obtained;

[0049] The total waiting time between the calling timestamp and the reporting timestamp is calculated, and the treatment duration between the continuous calling timestamp and the calling timestamp is calculated;

[0050] The units of different types of timestamps are accurate to seconds; and the units of different types of durations are minutes;

[0051] Through the medical service identification segmentation function The individual processing identifier corresponding to the patient is calculated; in the formula, GCj is the individual processing identifier corresponding to different patients of the doctor on the same day; j is different patients of the doctor on the same day, j = 1, 2, 3, …, m; m is a positive integer; TDj is the total waiting time corresponding to different patients; TDj0 is the standard total waiting time corresponding to the patient; TZj is the treatment duration of the patient; TZj0 is the standard treatment duration of the patient, which can be determined according to the average treatment duration corresponding to the same diagnosis made by the doctor in the past;

[0052] It should be explained that the individual processing identifier is used to integrate and calculate the different time data of the patient from the beginning to the end of the medical treatment to digitally represent the individual medical treatment state; the individual processing identifier can digitally represent the medical treatment state corresponding to different patients, and can provide reliable local service processing data support for subsequent analysis of the overall service state of the doctor on the same day;

[0053] In the formula, TDj0 can be calculated by the formula TDj0 = Jj x TD'j0; Jj is the waiting number corresponding to the patient; TD'j0 is the standard waiting time of a single patient, which can be determined according to the average waiting time corresponding to the same diagnosis made by the doctor in the past.

[0054] Arrange and combine the individual treatment identifiers of all patients who received medical services from the doctor on the same day in the order of their medical services, and obtain the medical service sequence corresponding to the doctor;

[0055] When integrating the corresponding supervisory processing results of all patients served by the doctor on the same day, the medical service sequence is calculated by the formula Calculate and obtain the service processing identifier FCi corresponding to the doctor; where B is the standard service processing value corresponding to the department doctor, which can be determined based on the actual application requirement data or the median value of the service processing identifiers of all doctors in the department history;

[0056] It should be noted that the service processing identifier is used to digitally represent the service processing status by integrating and calculating the corresponding supervisory processing data of all patients served by the doctor on the same day;

[0057] When determining the service processing status of the doctor on that day according to the service processing identifier, if the service processing identifier is less than or equal to 0, a daily service processing normal instruction is generated and the doctor is associated with the service processing normal status;

[0058] Otherwise, a daily service processing exception instruction is generated and the doctor is associated with the service processing exception status;

[0059] Sort and combine the service processing identifiers corresponding to the different consultation times of the department doctors to obtain the service processing sequence corresponding to the doctors;

[0060] In the embodiment of the present invention, by monitoring and digitally processing the entire process of individual patients waiting for medical treatment, and integrating and calculating the processing data corresponding to all patients served by the doctor on the same day to obtain the service processing identifier corresponding to the doctor, it is possible to digitally represent the overall service processing status of the doctor on the same day from the patient dimension, and at the same time provide reliable local patient monitoring data support for the subsequent periodic medical resource evaluation of department doctors, thereby improving the diversity of department doctors' medical service monitoring and processing.

[0061] The department medical resource supervision module is used to supervise and analyze the overall service status of different doctors in the department, determine the corresponding resource support level of the department based on the overall service status of different doctors, and dynamically manage the medical resources of the department based on the resource support level; it includes:

[0062] When conducting supervision and analysis on the overall service status of different doctors in the department, the daily service status value FZi corresponding to different doctors is calculated using the formula FZi=(JCi+FCi) / 2;

[0063] It should be noted that the service state value is used to integrate and calculate the daily different aspects of the doctor's clinic monitoring processing data to digitally represent the overall service state of the day;

[0064] The service state value is digitally analyzed and processed, and if the service state value is less than or equal to 1, the corresponding service state identifier is set to 0;

[0065] Otherwise, the corresponding service state identifier is set to 1;

[0066] It should be explained that by analyzing and digitally processing the service state value of the doctor every day, reliable individual overall analysis data support can be provided for subsequent overall department medical resource support state analysis;

[0067] In the monitoring period, the unit of the monitoring period is month, and specifically it can be three months, the service state identifiers corresponding to all doctors in the department are counted and the corresponding resource support degree ZC is calculated by the formula ; In the formula, FZi is the service state value corresponding to different doctors in the department, N is the total number of days corresponding to the monitoring period, and C is the standard resource support value corresponding to the department, which can be determined according to the actual application requirement data, or can be determined according to the median of all resource support degrees of the department in history;

[0068] When dynamically managing the medical resources of the department according to the resource support degree, the existing medical resources of the department are maintained, the medical resources in the department are collaboratively managed or the medical resources of the department are managed from the outside according to the resource support degree with a value of 0, 1 or 2;

[0069] When collaboratively managing the medical resources in the department, the total number of daily clinic appointments of different doctors in the department can be adjusted; when managing the medical resources of the department from the outside, new doctors can be hired or recruited to supplement the staff of the department.

[0070] In the embodiment of the application, the service state value is obtained by integrating and calculating the daily monitoring analysis data of different dimensions of the doctors, and the resource support degree corresponding to the department is determined by integrating and calculating all service state values corresponding to all doctors in the department in the monitoring period, and the medical resources of the department are dynamically managed according to the resource support degree, which improves the self-regulation effect of the medical resources of the department and the targeted control effect.

[0071] In addition, the formula involved in the above is to remove the dimension and take the numerical value, which is obtained by collecting a large amount of data and simulating the formula closest to the real situation by software simulation.

[0072] In several embodiments of the present application, it should be understood that the disclosed system can be implemented in other manners. For example, the division of the modules is merely logical function division, and there can be other division manners in actual implementation. For example, in a unit, a plurality of components or a plurality of modules can be combined or integrated into one component or module.

[0073] The modules described as separated components can or can not be physically separated, and the components displayed as modules can or can not be physical modules, and can be located in one place or distributed on a plurality of network modules. Part or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment.

[0074] In addition, each functional module in each embodiment of the present application can be integrated into a processing module, or each module can exist physically, or two or more modules can be integrated into one module. The integrated module can be realized in the form of hardware or in the form of hardware plus software functional module.

[0075] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the essential characteristics of the present application.

[0076] Finally, it should be noted that the above embodiments are merely used to illustrate the technical solutions of the present application but not limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application.

Claims

1. A medical resource information processing and supervision system based on multidimensional data, characterized by: It includes a department doctor work monitoring and processing module, which is used to monitor and compile daily consultation appointment data of all doctors in the department, and dynamically mark and classify different doctors in the department based on the consultation appointment data; The department doctor status monitoring and processing module is used to monitor the daily medical service status of different doctors in the department from different aspects of the patients, and integrate the corresponding supervision and processing results of all patients served by the doctor on the same day to obtain their corresponding service processing identification and service processing status; The department medical resource supervision module is used to supervise and analyze the overall service status of different doctors in the department, determine the corresponding resource support level of the department according to the overall service status of different doctors, and dynamically manage the medical resources of the department according to the resource support level; Among them, during the monitoring period, all service status identifiers corresponding to all doctors in the department are counted and the formula is used Calculate and obtain the corresponding resource support ZC; where FZi is the service status value corresponding to different doctors in the department, N is the total number of days corresponding to the monitoring period, and C is the standard resource support value corresponding to the department; When dynamically managing the medical resources of the department according to the resource support, the department maintains the existing medical resources, collaboratively manages the medical resources within the department, or manages the medical resources of the department from the outside according to the resource support value of 0, 1 or 2.

2. The medical resource information processing and supervision system based on multidimensional data according to claim 1 is characterized in that: When a doctor in a department starts working, the real-time number of available appointments for that day is obtained and analyzed. If the real-time number of available appointments is 0, the doctor is marked as the first appointment abnormal doctor and the associated appointment ID is set to B1; If the number of available appointments for the real-time doctor is not 0, the doctor is marked as the first doctor with normal appointments and the associated appointment ID is set to B2; Also, when a doctor in a department finishes work, the real-time number of patients processed on that day is obtained and analyzed. If the real-time number of patients processed is greater than or equal to the standard number of appointments for the doctor, the doctor is marked as the second appointment abnormal doctor and the associated processing flag is set to C1; If the number of people being processed in real time is less than the standard number of people required for appointments with the doctor, the doctor will be marked as a normal doctor for the second appointment and his / her associated processing identifier will be set to C2.

3. The medical resource information processing and supervision system based on multidimensional data according to claim 2 is characterized in that: Set the identification of different time periods through the medical treatment process to identify the piecewise function Calculate and obtain the corresponding treatment identification JCi of different doctors in the department on the same day; where k = 1, 2; Bk = B1, B2; Ck = C1, C2; JCi is the treatment identification of different doctors on the same day; i is different doctors in the department, i = 1, 2, 3, ..., n; n is a positive integer; The consultation processing identifiers corresponding to different consultation times of department doctors are sorted and combined to obtain the consultation processing sequence corresponding to the doctors.

4. The medical resource information processing and supervision system based on multidimensional data according to claim 3 is characterized in that: Obtain the timestamp of the patient's self-service report from the self-service machine and the corresponding timestamp of the patient's number being called, and obtain the corresponding timestamp of the continuous calling number when the next patient is called after the patient's visit; Calculate the total waiting time between the call timestamp and the reporting timestamp, as well as the consultation time between the continuous call timestamp and the call timestamp, and identify the segmented function through the consultation service Calculate and obtain the individual treatment identifier corresponding to the patient; where GCj is the individual treatment identifier corresponding to the different patients served by the doctor on the same day; j is the different patients served by the doctor on the same day, j = 1, 2, 3, ..., m; m is a positive integer; TDj is the total waiting time corresponding to different patients; TDj0 is the standard total waiting time corresponding to the patient; TZj is the patient's consultation time; TZj0 is the patient's standard consultation time; The individual treatment identifiers corresponding to all patients who received medical services from the doctor on the same day are arranged and combined in the order of medical consultation time to obtain the medical service sequence corresponding to the doctor.

5. The medical resource information processing and supervision system based on multidimensional data according to claim 4 is characterized in that: TDj0 is calculated using the formula TDj0=Jj×TD´j0, where Jj is the waiting number of the corresponding patient and TD´j0 is the standard waiting time for a single patient.

6. The medical resource information processing and supervision system based on multidimensional data according to claim 4 is characterized in that: When integrating the corresponding supervisory processing results of all patients served by the doctor on the same day, the medical service sequence is calculated by the formula Calculate and obtain the service processing identifier FCi corresponding to the doctor; where B is the standard service processing value corresponding to the department doctor; When determining the service processing status of the doctor on that day according to the service processing identifier, if the service processing identifier is less than or equal to 0, a daily service processing normal instruction is generated and the doctor is associated with the service processing normal status; Otherwise, a daily service processing exception instruction is generated and the doctor is associated with the service processing exception status; The service processing identifiers corresponding to different consultation times of department doctors are sorted and combined to obtain the service processing sequence corresponding to the doctors.

7. The medical resource information processing and supervision system based on multidimensional data according to claim 6 is characterized in that: When conducting supervision and analysis on the overall service status of different doctors in the department, the daily service status value FZi corresponding to different doctors is calculated using the formula FZi=(JCi+FCi) / 2; Perform digital analysis on the service status value. If the service status value is less than or equal to 1, set the corresponding service status flag to 0. Otherwise, the corresponding service status flag is set to 1.

Images