Public service health management method based on big data

Abstract

The invention discloses a public service health management method based on big data, and relates to the technical field of public health services, and the method comprises the following steps: an information collection end collects the address, department classification floor and medical equipment of a hospital, and a material management end carries out the statistics of supporting facilities and resources in the hospital, and then the resource use condition is counted and calculated, a signal is sent to the public server side, and a patient needing to see a doctor inputs a department to be hung and the position of the current patient at a user side, so that the signal is sent to the public server side. Compared with a traditional data management and evaluation module, the public service health management method based on the big data evaluates whether other patients are registered for treatment within the time when the current patient arrives at the optimal treatment hospital, avoids the problems that the patient waits for a long time and cannot be ranked to the number when arriving at the treatment hospital, enables the patient to quickly see the treatment after arriving at the hospital, and improves the treatment efficiency. And the quality and efficiency of hospital medical services are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of public health services, and in particular to a public health management method based on big data. Background Art

[0002] The Chinese patent application number CN202111489856.6 relates to a public service health management method based on big data, including: resource classification, data collection, first medical resource assessment, second medical resource assessment, response capacity assessment, and diagnosis matching treatment.

[0003] The above technical solution introduces the corresponding index of medical institutions for a certain disease, which intuitively reflects the real-time corresponding capabilities of different medical institutions for a certain disease, can better reflect the comprehensive utilization of medical resources of different medical institutions for a certain disease, and provides an evaluation standard for selecting medical institutions for treatment; through targeted matching of medical institutions and patients, it prevents the situation where medical institutions lack the reception capacity of patients and cause patients to be stranded, reduces the waiting time for patients, and at the same time improves the targeted corresponding capabilities and medical efficiency of different medical institutions for different diseases, and improves the utilization rate of medical resources.

[0004] During the implementation of existing public service health management methods, although the hospital that the patient wants to visit can be matched, other patients may register during the patient's journey to the hospital, causing the patient to wait for a long time or not be able to get a number when arriving at the hospital. This will affect the patient's consultation time and experience, and thus affect the quality and efficiency of the hospital's medical services. Summary of the Invention

[0005] The main purpose of the present invention is to provide a public service health management method based on big data to solve the problems raised in the above background.

[0006] To achieve the above object, the technical solution adopted by the present invention is:

[0007] A public service health management method based on big data includes the following steps:

[0008] S1: The information collection end collects information about the hospital's address, department classification, floor, and medical equipment. The material management end collects statistics on the hospital's supporting facilities and resources, then counts and calculates resource usage. This information is then input into the hospital management end, which then sends a signal to the public service end.

[0009] S2: Patients who need medical treatment enter the department they want to see and the patient's current location on the user end, and then send the signal to the public service end;

[0010] S3: The public server receives the signal instructions sent by the hospital management terminal and the user terminal, stores and archives the information of the hospital management terminal, and simultaneously stores and archives the information transmitted from the mobile terminal.

[0011] S4: Through the analysis module, analyze the distance of the patient to the hospital, the number of people queuing in the departments of the hospital to be visited, the number of doctors in this type of department, and the number of nurses, and list several relatively excellent hospitals.

[0012] S5: Through the evaluation module, arrange the several relatively excellent hospitals separately, and then evaluate whether there are patients registering for treatment during the journey of the patient to each hospital within the distance used by the patient to each hospital, match the best hospital for the patient to visit, and then send the information of the best hospital for treatment to the user terminal.

[0013] Preferably, the hospital management terminal includes an information collection terminal, a material management terminal, and a personnel allocation terminal. The information collection terminal collects the addresses of multiple hospitals, department classifications, the floors of each department in this hospital, and the locations where medical equipment is placed. The information collection terminal is electrically connected to the hospital management terminal.

[0014] Preferably, the material management terminal collects the bed quantity of this hospital, the unallocated bed quantity, the types of drugs, and the remaining drug quantity information. The material management terminal is electrically connected to the hospital management terminal.

[0015] Preferably, the personnel allocation terminal collects the number of registered patients, the number of doctors on duty on that day, and the number of nurses on duty on that day. The personnel allocation terminal is electrically connected to the hospital management terminal.

[0016] Preferably, the public server includes a processor, a storage module, an archiving module, and an analysis module. The processor receives the resource signal sent by the hospital management terminal. The processor receives the information input by the user terminal. The storage module stores the information processed by the processor. The archiving module sorts out and archives the information stored by the storage module. The archiving module archives the previous medical treatment information. The processor is electrically connected to the storage module. The storage module is electrically connected to the archiving module.

[0017] Preferably, the analysis module includes a comparison module, an evaluation module, and a matching module. The analysis module is electrically connected to the archiving module. The analysis module comprehensively analyzes the sorted and archived information and the information input by the user terminal, and analyzes several relatively excellent hospitals. The comparison module compares the strength evaluations of several relatively excellent hospitals. The comparison module then sends the comparison information to the analysis module. The comparison module is electrically connected to the analysis module.

[0018] Preferably, the evaluation module includes a column arrangement unit and a judgment unit. The evaluation module receives the comparison information of several superior hospitals sent by the analysis module. The evaluation module is electrically connected to the analysis module. The column arrangement unit arranges the comparison information of several hospitals, and the judgment unit judges the arrangement information of the hospitals from the column arrangement unit to select the optimal hospital for treatment.

[0019] Preferably, the evaluation module collects the past medical treatment information processed by the archive module and obtains the average expected value of the number of patients registering on the same day in the best hospital. The average expected threshold is 30. The evaluation module evaluates whether there are other patients registering for medical treatment during the patient's journey to the best hospital. The evaluation calculation formula is as follows:

[0020]

[0021] R is the number of patients registering on that day, H is the working hours of the hospital, and λ is the registration rate per minute;

[0022]

[0023] R is the number of patients registering on that day, H is the working hours of the hospital, T is the travel time of the patient to the hospital, and E is the expected value of other patients registering during the travel time;

[0024] When the expected value is greater than the average expected threshold, the evaluation module filters the hospitals with an expected value greater than the average expected threshold. When the expected value is less than the average expected threshold, the evaluation module regularizes the hospitals with an expected value less than the average expected threshold, and then judges the expected value through the judgment unit to select the optimal hospital for treatment. The matching module sends the information of the best hospital for treatment to the user terminal.

[0025] Preferably, the user terminal includes a location module, an input module, and a department category. The user terminal is electrically connected to the public service terminal. The location module displays the location information of the person in need of medical treatment. The input module inputs the basic information of the person in need of medical treatment. The department category inputs the consulting room for which the person in need of medical treatment wants to register.

[0026] Preferably, the input module is electrically connected to the processor, and the processor receives the information input by the user terminal.

[0027] The present invention has the following beneficial effects:

[0028] 1. In the present invention, the analysis module compares the information of the archiving module with the patient's information to select several relatively excellent hospitals. The ranking and arrangement unit arranges and compares the several relatively excellent hospitals, and then sends the information of the relatively excellent hospitals to the evaluation module. The judgment unit selects the best hospital for treatment among the several relatively excellent hospitals. The evaluation module collects the previous medical treatment information processed by the archiving module and obtains the average expected value of the number of patients registering for treatment in the best hospital on the current day. Then, the evaluation module evaluates whether there are other patients registering for treatment during the time when the current patient arrives at the best hospital for treatment. When the expected value is greater than the average expected threshold, the evaluation module filters the hospitals with an expected value greater than the average expected threshold. When the expected value is less than the average expected threshold, the evaluation module regularizes the hospitals with an expected value less than the average expected threshold, and then the judgment unit selects the minimum expected value to select the optimal hospital for treatment. Compared with traditional data management, the evaluation module evaluates whether there are other patients registering for treatment during the time when the current patient arrives at the best hospital for treatment, avoiding the problems of patients waiting for a long time and being unable to get a registration number when they arrive at the hospital for treatment, enabling patients to receive medical treatment quickly after arriving at the hospital, and thus improving the quality and efficiency of hospital medical services.

[0029] 2. In the present invention, the patient only needs to input their own information, location, and department for treatment at the user end, and the public service end can automatically match the best hospital for treatment, saving the patient's time, helping the patient quickly and accurately match for medical treatment, and thus facilitating the use of the user. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a flowchart of a public service health management method based on big data according to the present invention;

[0031] Figure 2 It is a processing flowchart of the hospital management end, public service end, and user end of a public service health management method based on big data according to the present invention;

[0032] Figure 3 It is a schematic diagram of the information collection end of a public service health management method based on big data according to the present invention;

[0033] Figure 4 It is a schematic diagram of the material management end of a public service health management method based on big data according to the present invention;

[0034] Figure 5 It is a schematic diagram of the personnel allocation end of a public service health management method based on big data according to the present invention;

[0035] Figure 6 It is a schematic diagram of the analysis module of a public service health management method based on big data according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0037] Please refer to Figures 1 to 6 , the present invention provides a technical solution, including the following steps:

[0038] S1: The information collection end collects the address, department classification floor and medical equipment of the hospital, and the material management end counts the supporting facilities and resources in the hospital, then counts and calculates the resource usage situation, inputs the information into the hospital management end, and sends the signal to the public service end;

[0039] S2: The patient who needs to see a doctor inputs the department he wants to register for and the current location of the patient through the user end, and then sends the signal to the public service end;

[0040] S3: The public service end receives the signal instructions sent by the hospital management end and the user end, stores and archives the information of the hospital management end, and at the same time stores and archives the information transmitted from the mobile phone end;

[0041] S4: Through the analysis module, analyze the distance of the patient to the hospital, the number of people queuing in the department of the hospital to be visited, the number of doctors in this type of department, and the number of nurses, and list several better hospitals;

[0042] S5: Through the evaluation module, arrange and list the better hospitals, and then evaluate whether there are patients registering and seeing a doctor during the journey of the patient to each hospital within the distance from the patient to each hospital, match the best hospital for the patient to see a doctor, and then send the information of the best hospital for seeing a doctor to the user end;

[0043] The analysis module compares the information of the archiving module and the patient's information to select several relatively better hospitals. The ranking and arrangement unit ranks and compares the several relatively better hospitals, and then sends the information of the relatively better hospitals to the evaluation module. The judgment unit selects the best hospital for treatment among the several relatively better hospitals. The evaluation module collects the past medical treatment information processed by the archiving module and obtains the average expected value of the patient registration on the day of the best hospital. Then, the evaluation module evaluates whether there are other patients registering for medical treatment within the time when the current patient arrives at the best hospital for treatment. When the expected value is greater than the average expected threshold, the evaluation module filters the hospitals with an expected value greater than the average expected threshold. When the expected value is less than the average expected threshold, the evaluation module regularizes the hospitals with an expected value less than the average expected threshold, and then selects the minimum expected value through the judgment unit to select the optimal hospital for treatment. Compared with traditional data management, the evaluation module evaluates whether there are other patients registering for medical treatment within the time when the current patient arrives at the best hospital for treatment, avoiding the problems of patients waiting for a long time and being unable to get a registration when they arrive at the hospital for treatment, enabling patients to receive medical treatment quickly after arriving at the hospital, and thus improving the quality and efficiency of hospital medical services.

[0044] The hospital management terminal includes an information collection terminal, a material management terminal, and a personnel allocation terminal. The information collection terminal collects the addresses of multiple hospitals, department classifications, the floors of each department in this hospital, and the locations where medical equipment is placed. The information collection terminal is electrically connected to the hospital management terminal. Through the information collection module, data on the addresses of each hospital, the departments of each hospital and the floors where the departments are located, the medical equipment of each hospital, and the usage status of the medical equipment are collected and sent to the hospital management terminal to facilitate customers to clearly observe the information of the hospital.

[0045] The material management terminal collects the bed quantity, unallocated bed quantity, types of medicines, and remaining medicine quantity information of this hospital. The material management terminal is electrically connected to the hospital management terminal. The material management terminal statistics the bed information, unused bed information, and beds to be used in each hospital, and also statistics the types of medicines and the remaining medicine quantity in the hospital, and sends the data to the hospital management terminal to ensure that the hospital has the medicines needed by patients.

[0046] The personnel allocation terminal collects the number of registered patients, the number of doctors on duty on that day, and the number of nurses on duty on that day. The personnel allocation terminal is electrically connected to the hospital management terminal to observe the registration situation of the hospital, the information of doctors and nurses on duty in real time.

[0047] The public service terminal includes a processor, a storage module, an archiving module, and an analysis module. The processor receives the resource signal sent by the hospital management terminal and the information input by the user terminal. The storage module stores the information processed by the processor. The archiving module sorts out and archives the information stored by the storage module. The archiving module archives the past medical treatment information. The processor is electrically connected to the storage module, and the storage module is electrically connected to the archiving module.

[0048] The analysis module includes a comparison module, an evaluation module, and a matching module. The analysis module is electrically connected to the archiving module. The analysis module comprehensively analyzes the sorted and archived information and the information input by the user terminal, and selects several relatively excellent hospitals. The comparison module compares the strength evaluations of several relatively excellent hospitals, and then sends the comparison information to the analysis module. The comparison module is electrically connected to the analysis module. The analysis module compares the information in the archiving module with the patient's information to select several relatively excellent hospitals.

[0049] The evaluation module includes an arrangement unit and a judgment unit. The evaluation module receives the comparison information of several relatively excellent hospitals sent by the analysis module. The evaluation module is electrically connected to the analysis module. The arrangement unit arranges the comparison information of several hospitals, and the judgment unit judges the arrangement information of the hospitals from the arrangement unit to select the optimal hospital for treatment.

[0050] The evaluation module collects the past medical treatment information processed by the archiving module and obtains the average expected value of the number of patients registering for the best hospital on that day. The average expected threshold is 30. The evaluation module evaluates whether there are other patients registering for medical treatment during the patient's journey to the best hospital. The calculation formula for the evaluation is as follows:

[0051]

[0052] R is the number of patients registering on that day, H is the working hours of the hospital, and λ is the registration rate per minute;

[0053]

[0054] R is the number of patients registering on that day, H is the working hours of the hospital, T is the travel time of the patient to the hospital, and E is the expected value of other patients registering during the travel time;

[0055] When the expected value is greater than the average expected threshold, the evaluation module filters the hospitals with an expected value greater than the average expected threshold. When the expected value is less than the average expected threshold, the evaluation module regularizes the hospitals with an expected value less than the average expected threshold, and then judges the expected value through the judgment unit to select the optimal hospital for treatment. The matching module sends the information of the best hospital for treatment to the user terminal.

[0056] The user terminal includes a location module, an input module, and a department category. The user terminal is electrically connected to the public service terminal. The location module displays the location information of the person in need of medical treatment. The input module inputs the basic information of the person in need of medical treatment. The department category inputs the consulting room for which the person in need of medical treatment wants to register.

[0057] The input module is electrically connected to the processor, and the processor receives the information input by the user terminal.

[0058] In the present invention, a public service health management method based on big data collects data on the addresses of various hospitals, the departments of each hospital and the floors where the departments are located, the medical equipment of each hospital and the usage of the medical equipment through an information collection module, and sends the data to the hospital management terminal. The material management terminal counts the number of beds, unused beds and beds to be used in each hospital, and also counts the types of drugs and the remaining amount of drugs in the hospital, and sends the data to the hospital management terminal. The personnel allocation terminal collects the number of currently registered patients and the number of patients queuing, and collects the number of doctors and nurses on duty in each department on the same day, and sends the data to the hospital management terminal. After the hospital management terminal processes the signal, it sends the signal to the public service terminal. At this time, the processor receives the signal instruction sent by the hospital management terminal, and then the processor sends the signal instruction to the storage module for storage. Then the archiving module receives the signal processed by the storage module, plans and classifies the information, and finally performs archiving processing. The archiving module also stores the data of each hospital in the past. The patient uses the mobile phone user terminal and inputs the basic information of the patient into the user terminal through the input module. The position module displays the current position of the patient (the distance between the current position of the patient and the hospital to be visited, plus the selected means of transportation, can calculate the time to reach the hospital to be visited). The patient inputs the department to be registered. At this time, the user terminal processes the various information of the patient and sends the signal to the processor. At this time, the processor receives and processes the information of the patient, and then sends the information to the analysis module. The analysis module compares the information in the archiving module with the information of the patient, selects several relatively excellent hospitals, and the ranking and arrangement unit compares and arranges the several relatively excellent hospitals, and then sends the information of the relatively excellent hospitals to the evaluation module. The best hospital among the several relatively excellent hospitals is selected through the judgment unit. The evaluation module collects the past medical treatment information processed by the archiving module and obtains the average expected value of the number of patients registered in the best hospital on the same day. The average expected threshold is 30. Then the evaluation module evaluates whether there are other patients registering for medical treatment within the time when the patient arrives at the best hospital. When the expected value is greater than the average expected threshold, the evaluation module filters the hospitals with an expected value greater than the average expected threshold. When the expected value is less than the average expected threshold, the evaluation module regularizes the hospitals with an expected value less than the average expected threshold, and then selects the minimum expected value through the judgment unit to select the optimal hospital for medical treatment, and then sends it to the user terminal. The patient goes to the selected best hospital for medical treatment. This solution compares the information in the archiving module with the information of the patient through the analysis module, selects several relatively excellent hospitals, the ranking and arrangement unit compares and arranges the several relatively excellent hospitals, and then sends the information of the relatively excellent hospitals to the evaluation module. The best hospital for medical treatment among the several relatively excellent hospitals is selected through the judgment unit. The evaluation module collects the past medical treatment information processed by the archiving module and obtains the average expected value of the number of patients registered in the best hospital on the same day. Then the evaluation module evaluates whether there are other patients registering for medical treatment within the time when the current patient arrives at the best hospital.When the expected value is greater than the average expected threshold, the evaluation module filters out the hospitals with an expected value greater than the average expected threshold. When the expected value is less than the average expected threshold, the evaluation module regularizes the hospitals with an expected value less than the average expected threshold, and then the judgment unit selects the minimum expected value to select the optimal hospital for treatment. Compared with traditional data management, the evaluation module evaluates whether there are other patients registering for treatment within the time for the current patient to reach the best hospital for treatment, avoiding the problems of long waiting and inability to get a registration number when the patient arrives at the hospital for treatment, enabling the patient to receive treatment quickly after arriving at the hospital, thereby improving the quality and efficiency of the hospital's medical services; the patient only needs to input their own information, location, and department for treatment at the user end, and the public service end can automatically match to the best hospital for treatment, saving the patient's time, helping the patient to quickly and accurately match for treatment, and thus facilitating the use of the user.

[0059] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0060] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by.

Claims

1. A public service health management method based on big data, characterized in that The following steps are involved: S1: The information collection end collects information about the hospital's address, department classification, floor, and medical equipment. The material management end collects statistics on the hospital's supporting facilities and resources, then counts and calculates resource usage. This information is then input into the hospital management end, which then sends a signal to the public service end. S2: Patients who need medical treatment enter the department they want to see and the patient's current location on the user end, and then send the signal to the public service end; S3: The public service end receives signal instructions from the hospital management end and the user end, stores and archives the information from the hospital management end, and also stores and archives the information from the mobile phone end; S4: Analyze the distance patients travel to the hospital, the number of people waiting in line at the hospital department, the number of doctors and nurses in the department, and list several better hospitals. S5: The evaluation module arranges several better hospitals in a classified manner, and then evaluates the distance the patient takes to each hospital to see whether there are any patients who have registered for treatment at each hospital during the journey. The best hospital for the patient is matched, and the information of the best hospital is sent to the user end.

2. The public service health management method based on big data according to claim 1, wherein: The hospital management end includes an information collection end, a material management end and a personnel allocation end. The information collection end collects the addresses of multiple hospitals, department classifications, the floors of the hospital where each department is located and the locations of medical equipment. The information collection end is electrically connected to the hospital management end.

3. A method for public service health management based on big data according to claim 2, characterized in that: The material management terminal collects information on the number of beds in the hospital, the number of unallocated beds, the types of medicines and the remaining amount of medicines. The material management terminal is electrically connected to the hospital management terminal.

4. A public service health management method based on big data according to claim 2, characterized in that: The personnel allocation end collects the number of registered patients, the number of doctors who visited the hospital that day, and the number of nurses who visited the hospital that day. The personnel allocation end is electrically connected to the hospital management end.

5. A public service health management method based on big data according to claim 1, characterized in that: The public service end includes a processor, a storage module, an archiving module and an analysis module. The processor receives the resource signal sent by the hospital management end, the processor receives the information input by the user end, the storage module stores the information processed by the processor, the archiving module organizes and archives the information stored in the storage module, and the archiving module archives previous medical information. The processor is electrically connected to the storage module, and the storage module is electrically connected to the archiving module.

6. The public service health management method based on big data according to claim 5, characterized in that: The analysis module includes a comparison module, an evaluation module and a matching module. The analysis module is electrically connected to the archiving module. The analysis module comprehensively analyzes the sorted and archived information and the information input by the user terminal to analyze several better hospitals. The comparison module compares the strength evaluations of several better hospitals, and the comparison module then sends the comparison information to the analysis module. The comparison module is electrically connected to the analysis module.

7. A public service health management method based on big data according to claim 6, characterized in that: The evaluation module includes a column arrangement unit and a judgment unit. The evaluation module receives comparative information of several better hospitals from the analysis module. The evaluation module is electrically connected to the analysis module. The column arrangement unit arranges the comparative information of several hospitals. The judgment unit judges the arrangement information of the hospitals based on the column arrangement unit and selects the best hospital for treatment.

8. The public service health management method based on big data according to claim 6 is characterized by: The evaluation module collects the previous medical visit information processed by the archiving module and obtains the average expected value of the number of patients registering at the best hospital on the same day. The average expected threshold is 30. The evaluation module evaluates whether there are other patients registering for medical treatment during the patient's journey to the best hospital. The evaluation calculation formula is as follows: R is the number of patients registering on that day, H is the working hours of the hospital, and λ is the registration rate per minute; R is the number of patients registering on that day, H is the working hours of the hospital, T is the travel time of the patient to the hospital, and E is the expected value of other patients registering during the travel time; When the expected value is greater than the average expected threshold, the evaluation module filters the hospitals with an expected value greater than the average expected threshold. When the expected value is less than the average expected threshold, the evaluation module regularizes the hospitals with an expected value less than the average expected threshold. Then, the judgment unit judges the expected value to select the optimal hospital for medical treatment, and the matching module sends the information of the best hospital for medical treatment to the user terminal.

9. The public service health management method based on big data according to claim 1, characterized in that: The user terminal includes a location module, an input module, and a department category. The user terminal is electrically connected to the public service terminal. The location module displays the location information of the person in need of medical treatment. The input module inputs the basic information of the person in need of medical treatment. The department category inputs the consulting room for which the person in need of medical treatment wants to register.

10. A method for public service health management based on big data according to claim 9, characterized in that: The input module is electrically connected to the processor, and the processor receives the information input by the user terminal.

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