Medical standard system construction system based on cloud computing

Abstract

The invention discloses a medical standard system construction system based on cloud computing, and belongs to the technical field of medical informationization, and the system comprises a medical data obtaining unit which is used for obtaining medical service units of a preset city, and obtaining diagnosis and treatment data of persons seeing a doctor in the preset city to each medical service unit in recent 1-2 months, the medical service unit comprises a fair medical institution and a civil medical institution; the diagnosis and treatment data acquisition unit comprises a coordinate positioning acquisition module, a distance calculation module and a data extraction module; according to the invention, the preset patient obtains the scores of the medical service capability, the efficiency service capability and the safety service capability of the medical service unit from the preset city and other patients except the preset patient, so that the method can make a more suitable choice for the medical service unit more comprehensively in the future under the condition that the patient suffers from the same kind of diseases; and the patient can perform planning selection more objectively, so that the medical service is more humanized.

Description

Technical Field

[0001] The present invention relates to the field of medical information technology, and in particular to a medical standard system construction system based on cloud computing. Background Art

[0002] In the field of medical services, cloud computing has played an important role. In recent years, the scientific and medical communities have conducted in-depth discussions on the construction of medical data systems. Among them, the technical application number CN202211431765.1 provides a medical service system based on cloud computing. The service system of this technical application includes a cloud service platform, wherein the cloud service platform includes: the archive management module is used to obtain the basic information of patients uploaded by users of medical institutions, and create patient archives and build patient databases based on the basic information of patients; the patient record module is used to obtain patient record data uploaded by patient users; the medical order management module is used to obtain patient diagnosis and treatment data uploaded by doctor users; the nursing management module is used to obtain patient medical care data uploaded by nurse users; the medical management module is used to perform classification statistics and generate diagnosis and treatment logs, and update the diagnosis and treatment logs to the patient archives corresponding to the patient users; the relationship management module is used for medical relationship data, and the patient archives and patient databases corresponding to the patient users are associated with the corresponding doctor users according to the acquired medical relationship data. This technical application helps to improve the unified management level of patient medical data and provide data support for medical services.

[0003] Another technical application number is CN202110623492.X, which provides a medical service method and system based on cloud computing. The technical application includes a server, a recommendation module, a registration and login module, a verification module, a storage module, an appointment module and a payment module. The appointment module is used for customers to make appointments directly using the client, and the recommendation module is used to recommend medical information to customers. The recommendation module includes a retrieval unit, a hospital unit, a doctor unit, a pharmacy unit, a pathology library unit and a feedback unit. This technical application recommends hospitals for medical treatment to customers through the hospital unit, comprehensively considering the severity score of the disease type, the distance between the customer's residential address and the hospital, the average medical price and the number of people queuing for the type of disease to which the customer belongs in the hospital, to help customers reasonably plan medical hospitals.

[0004] However, the technical solutions of the above-mentioned technical applications are all for the hospital to plan the medical treatment of medical personnel. It is impossible to collect the patient's symptoms and let the medical personnel compare them by themselves before selecting the medical resources recommended by the hospital. It ignores the objective choice of the medical personnel and reduces the accuracy and reliability of the final recommendation. Summary of the invention

[0005] In view of the above-mentioned problems existing in the field of existing medical information technology, the present invention is proposed.

[0006] Therefore, one of the purposes of the present invention is to provide a medical standard system construction system based on cloud computing, which enables preset patients in a preset city to obtain the scores of other patients other than themselves on the medical service capabilities, efficiency service capabilities and safety service capabilities of medical service units, so that in the future period, when suffering from similar diseases, they can make more comprehensive choices of medical service units that are more suitable for themselves, so that patients can plan and choose more objectively, making medical services more humane.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] The present invention provides a medical standard system construction system based on cloud computing, including:

[0009] A medical data acquisition unit is used to acquire medical service units in a preset city, and to acquire the diagnosis and treatment data of personnel who have visited each of the medical service units in the preset city within the last 1 to 2 months. The medical service units include public medical institutions and private medical institutions. The diagnosis and treatment data acquisition unit includes a coordinate positioning acquisition module, a distance calculation module and a data extraction module.

[0010] The coordinate positioning acquisition module is used to obtain the geographic positioning data of each medical service unit in the preset city;

[0011] The distance calculation module is used to calculate the distance from the home address of the personnel who visited the medical service units in the preset city in the last 1 to 2 months to the corresponding medical service units;

[0012] The data extraction module is used to extract data information about the medical history, physical examination results, diagnosis and treatment plan of the preset patient from the diagnosis and treatment data, and the treatment plan includes the type and process of surgery;

[0013] A diagnosis and treatment data sorting module, which responds to the data information extracted by the data extraction module and is used to sort the diagnosis and treatment data of the preset patient in the last three years in a forward and backward order, extract at least three identical disease data from the sorted data, and obtain the medical service unit selected by the preset patient based on the extracted identical disease data; and generate a cloud database based on the data information obtained by the medical data acquisition unit and the diagnosis and treatment data sorting module;

[0014] A service data collection module, used to collect resource data information of each medical service unit in the preset city, upload the collected resource data information to the cloud database, and update the cloud database at the same time;

[0015] The data management recommendation unit is used to classify the medical service units into , , ..., , Indicates the selected a medical service unit, and marks the medical service unit as the first choice medical service unit, and marks other medical service units that can also treat the same disease as the second choice medical service unit; the data management recommendation unit includes a data analysis module, a distinction comparison module and a recommendation module;

[0016] The data analysis module is used to analyze the medical service units selected by other patients in the preset city except the preset patient when suffering from the same disease as the preset patient, and the other patients are at least 100 patients, wherein the selected medical service units are medical service units other than the first selected medical service units, and the diagnosis and treatment data of the medical service units selected by other patients are collected, and the collected diagnosis and treatment data include the collection according to three dimensions of medical service capability, efficiency service capability and safety service capability, and obtain the scores of other patients except the preset patient on the service content of the selected medical service units in the three dimensions.

[0017] As a preferred solution of the present invention, wherein: in the service data collection module, the resource data management information of each medical service unit includes outpatient information management, inpatient information management, LIS inspection system, drug store and pharmacy information management, medical record information management and medical insurance interface information management;

[0018] Wherein, the outpatient information management includes the registration fee and medicine fee;

[0019] The hospitalization information management includes ward allocation and fee information, and the fee information includes bed fees and meal fees of the affiliated medical service unit;

[0020] The LIS testing system includes specimen collection, laboratory testing, report issuance and quality control management for patients;

[0021] The drug warehouse and pharmacy information management includes drug management, and the drug management includes drug storage acceptance and drug storage and maintenance;

[0022] The medical record information management includes the collection, organization, processing, storage, quality control and services of case information; the services include statistical analysis and information management;

[0023] The medical insurance interface information management includes confirming the identity of medical insurance patients and determining their medical insurance benefit eligibility.

[0024] As a preferred solution of the present invention, wherein: in the data analysis module, the service content of the three dimensions, wherein the medical service capability content includes the range of disease types covered by the treatment cases and the technical difficulty level of the treatment cases;

[0025] The efficiency service capability includes the cost and time spent on treating similar diseases;

[0026] The safety service capabilities include case fatality rates where the probability of death from the disease itself is low;

[0027] Among them, the medical service units outside the first-selected medical service units include the second-selected medical service units, and the number of the second-selected medical service units is at least 10; and the service content scores of the three dimensions of each medical service unit are all given 10 points. When the score of the service content of any dimension of any medical service unit is lower than 5 points, the system determines that the corresponding medical service unit is an unqualified medical service unit, and excludes the corresponding medical service unit from the second-selected medical service units; otherwise, no judgment is made.

[0028] As a preferred solution of the present invention, the differentiation and comparison module is used to divide the second selected medical service units into high-scoring groups, medium-scoring groups and low-scoring groups based on the scoring results of the service contents of the three dimensions, and each group of medical service units is at least 3 or more. At the same time, the scores of the preset patients on the first selected medical service units regarding the service contents of the three dimensions are obtained, and the 3 to 5 medical service units with the highest scores are selected, and the proportion of the scores of the medical service units to the scores of the medical service units in the high-scoring group is calculated according to the following formula:

[0029] ;in, Indicates the number of medical service units constituting the first choice;

[0030] In the formula, Indicates the preset patient Next to Number of visits to medical service units, Represents the average score in the first selected medical service unit.

[0031] As a preferred solution of the present invention, wherein: the recommendation module responds to the proportion calculation result, when the preset patient needs to go to the same treatment department for medical treatment in the future period, the system will give priority to recommending the medical service unit in the high-score group and the medical service unit with the highest proportion score among the first selected medical service units to the preset patient.

[0032] As a preferred solution of the present invention, in addition to the preset patients, scores of other patients on the service contents of the three dimensions of the first-selected medical service unit are collected, and 3 to 5 medical service units with the highest scores are selected according to the scoring results. When the 3 to 5 medical service units with the highest scores are consistent with the medical service units scored by the preset patients, when the preset patients need to go to the same treatment department for medical treatment in the future, the system will not replace the recommended medical service unit with the highest proportion score among the first-selected medical service units. Otherwise, the system will replace it.

[0033] As a preferred embodiment of the present invention, when a patient preset in the future time period becomes ill, the severity of his / her illness is obtained, and the severity of the illness is divided into four levels: critical illness, severe or rapidly deteriorating, urgent and non-urgent. When the severity of the illness is critical illness, severe or rapidly deteriorating and urgent, the system recommends to the preset patient the medical service unit with the highest score among other patients in the first selected medical service unit and the medical service unit with the highest score in the high-scoring group.

[0034] As a preferred solution of the present invention, when the severity of the illness is non-emergency, the medical service unit with the highest score in the first selected medical service units and the medical service unit with the highest score in the high-score group and the number of people waiting in line for medical treatment in the corresponding treatment departments of the illness are obtained, and 1 to 3 of the medical service units with the least number of people waiting in line for medical treatment in the corresponding treatment departments are given as priority recommended medical service units.

[0035] As a preferred solution of the present invention, among the given priority recommended medical service units, the distance from the medical service unit to the preset patient's home address is obtained, and the conditions for recommending the medical service unit to the preset patient are given in order of distance.

[0036] The present invention enables the preset patient to obtain the scores of the medical service capacity, efficiency service capacity and safety service capacity of the medical service units from other patients other than the preset patient in the preset city, so that the preset patient can make a more comprehensive choice of medical service units that is more suitable for the preset patient in the future when suffering from the same disease. At the same time, based on the big data collected mainly from other patients, the present invention can recommend high-scoring medical service units to the preset patient under different criticality levels of the patients, thereby improving the efficiency and reliability of the preset patient's selection of medical service units, so that other patients including the preset patient can compare the medical treatment plan based on the collected scoring data, so that the patient can make more objective planning and selection, making the medical service more humane. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0038] Figure 1 A schematic diagram of a modular structure of a medical standard system construction system based on cloud computing according to an embodiment of the present invention;

[0039] Figure 2 A schematic diagram of the process structure of an embodiment of the present invention;

[0040] Numbers in the figure: 110-medical data acquisition unit; 1101-coordinate positioning acquisition module; 1102-distance calculation module; 1103-data extraction module; 120-diagnosis and treatment data sorting module; 130-service data acquisition module; 140-data management recommendation unit; 1401-data analysis module; 1402-differentiation and comparison module; 1403-recommendation module. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0042] Since existing technologies are all about planning medical treatment for medical personnel at the hospital end, it is impossible to collect the patient's symptoms and allow medical personnel to compare them themselves before selecting the medical resources recommended by the hospital end. This ignores the objective choices of medical personnel and reduces the accuracy and reliability of the final recommendation.

[0043] Based on this, the present invention proposes a medical standard system construction system based on cloud computing, which enables preset patients in a preset city to obtain the scores of other patients other than themselves on the medical service capabilities, efficiency service capabilities and safety service capabilities of medical service units. In the future, when suffering from similar diseases, the system can make more comprehensive choices of medical service units that are more suitable for themselves, so that patients can plan and choose more objectively, making medical services more humane.

[0044] The present invention is further described in detail below through embodiments and in conjunction with the accompanying drawings.

[0045] Reference Figure 1 to Figure 2, is an embodiment of the present invention, which provides a medical standard system construction system based on cloud computing, including:

[0046] The medical data acquisition unit 110 is used to acquire medical service units in a preset city, and to acquire the diagnosis and treatment data of the personnel who visited each medical service unit in the preset city within the last 1 to 2 months. The medical service units include public medical institutions and private medical institutions. The diagnosis and treatment data acquisition unit includes a coordinate positioning acquisition module, a distance calculation module and a data extraction module.

[0047] The coordinate positioning acquisition module 1101 is used to obtain the geographic positioning data of each medical service unit in a preset city;

[0048] The distance calculation module 1102 is used to calculate the distance from the home address of the personnel who visited various medical service units in the preset city in the last 1 to 2 months to the corresponding medical service units.

[0049] The data extraction module 1103 is used to extract data information about the medical history, physical examination results, diagnosis and treatment plan of the preset patient from the diagnosis and treatment data, and the treatment plan includes the type and process of surgery;

[0050] Among them, public medical institutions include general hospitals, specialized hospitals, traditional Chinese medicine hospitals and community health service centers, and private medical institutions include private clinics;

[0051] The diagnosis and treatment data sorting module 120 responds to the data information extracted by the data extraction module, and is used to sort the diagnosis and treatment data of the preset patient in the last three years in a forward and backward order, extract at least three identical disease data from the sorted data, and obtain the medical service unit selected by the preset patient based on the extracted identical disease data; and generate a cloud database based on the data information obtained by the medical data acquisition unit and the diagnosis and treatment data sorting module;

[0052] The service data collection module 130 is used to collect resource data information of each medical service unit in a preset city, upload the collected resource data information to the cloud database, and update the cloud database at the same time;

[0053] It should be noted that in this embodiment, the resource data management information of each medical service unit includes outpatient information management, inpatient information management, LIS inspection system, drug store and pharmacy information management, medical record information management and medical insurance interface information management;

[0054] Among them, outpatient information management includes registration fees and drug fees;

[0055] Hospitalization information management includes ward allocation and cost information, including bed charges and meal charges of the affiliated medical service unit;

[0056] The LIS testing system includes specimen collection, laboratory testing, report issuance and quality control management for patients;

[0057] Drug warehouse and pharmacy information management includes drug management, which includes drug warehouse acceptance, drug storage and maintenance;

[0058] Medical record information management includes the collection, organization, processing, storage, quality control and services of case information; services include statistical analysis and information management;

[0059] Among them, it should be noted that statistical analysis is an important means of medical record management. Through statistical analysis of medical record data, we can understand the distribution of diseases, medical quality, medical efficiency, etc. of medical institutions, and provide a scientific basis for the decision-making of medical institutions;

[0060] Information management uses modern information technology to realize the electronic, networked and intelligent medical records, greatly improving the efficiency and quality of medical record management. Information management can not only reduce information deviation or data loss caused by manual input and sorting of information, but also improve the accuracy and credibility of data, and reduce the workload of medical record information managers;

[0061] Medical insurance interface information management includes identity confirmation of medical insurance patients and determination of medical insurance benefit eligibility;

[0062] The data management recommendation unit 140 is used to classify the medical service units into , , ..., , Indicates the selected medical service units, and mark the medical service units as first choice medical service units, and mark other medical service units that can also treat the same disease as second choice medical service units; the data management recommendation unit includes a data analysis module 1401, a distinction and comparison module 1402 and a recommendation module 1403;

[0063] The data analysis module 1401 is used to analyze the medical service units selected by other patients in a preset city except the preset patient when suffering from the same disease as the preset patient, where the other patients are at least 100 patients, wherein the selected medical service units are medical service units other than the first selected medical service units, and collect the diagnosis and treatment data of the medical service units selected by other patients, the collected diagnosis and treatment data includes collection according to three dimensions of medical service capacity, efficiency service capacity and safety service capacity, and obtain the scores of other patients except the preset patient on the service content of the selected medical service units in the three dimensions;

[0064] What needs to be emphasized in this embodiment is the service content in three dimensions, among which the medical service capacity content includes the range of disease types covered by the treatment cases and the technical difficulty level of the treatment cases;

[0065] The efficiency service capability includes the cost and time spent on treating similar diseases;

[0066] The content of safety service capabilities includes case fatality rate where the probability of death from the disease itself is low;

[0067] Among them, the medical service units other than the first choice medical service units include the second choice medical service units, and the second choice medical service units are at least 10 or more; and the service content scores of the three dimensions of each medical service unit are all given 10 points. When the score of the service content of any dimension of any medical service unit is lower than 5 points, the system determines that the corresponding medical service unit is an unqualified medical service unit and removes the corresponding medical service unit from the second choice medical service units; otherwise, no determination is made;

[0068] On the basis of the above, the distinguishing and comparing module 1402 of this embodiment is used to distinguish the second-choice medical service units into a high-scoring group, a medium-scoring group and a low-scoring group based on the scoring results of the service contents in the three dimensions, and each group of medical service units is at least 3 or more. At the same time, the scores of the preset patients on the service contents in the three dimensions of the first-choice medical service units are obtained, and the 3 to 5 medical service units with the highest scores are selected, and the proportion of the scores of the medical service units to the scores of the medical service units in the high-scoring group is calculated according to the following formula:

[0069] ;in, Indicates the number of first choice medical service units;

[0070] In the formula, Indicates the preset patient Next to Number of visits to medical service units, Represents the average score among first-choice medical service units.

[0071] On the basis of the above, the recommendation module 1403 of this embodiment responds to the weight calculation result. When the preset patient needs to go to the same treatment department for medical treatment in the future period, the system will give priority to recommending the medical service unit with the highest weight in the high-score group and the first-choice medical service unit to the preset patient.

[0072] Furthermore, in addition to the preset patients, this embodiment collects the scores of other patients on the service content of the first-choice medical service unit in terms of the three dimensions, and selects 3 to 5 medical service units with the highest scores according to the score results. When the 3 to 5 medical service units with the highest scores are consistent with the medical service units scored by the preset patients, when the preset patients need to go to the same treatment department for medical treatment in the future period, the system will not replace the medical service unit with the highest proportion score in the recommended first-choice medical service unit, otherwise, the system will replace it;

[0073] On the basis of the above, in this embodiment, specifically, when a patient is sick in a future time period, the severity of the patient's illness is obtained, and the severity of the illness is divided into four levels: critical illness, serious illness or rapidly deteriorating illness, urgent illness, and non-urgent illness. When the severity of the illness is critical illness, serious illness or rapidly deteriorating illness, and urgent illness, the system recommends to the preset patient the medical service unit with the highest score among the first-choice medical service units and the medical service unit with the highest score in the high-scoring group;

[0074] Among them, when the degree of the disease is non-emergency, obtain the medical service unit with the highest score in the first choice medical service unit and the medical service unit with the highest score in the high score group and the number of people waiting in line for medical treatment in the corresponding treatment department of the disease, and give 1 to 3 medical service units with the least number of people waiting in line for medical treatment in the corresponding treatment department as the priority recommended medical service units;

[0075] Furthermore, among the given priority recommended medical service units, the distance from the medical service unit to the home address of the preset patient is obtained, and the order of distance is given as a condition for recommending the medical service unit to the preset patient;

[0076] It should be noted that a medical service platform belonging to a preset city is constructed through a cloud database. Patients can register and log in to the medical service platform with a valid identity document, and the scoring results collected from patients can be uploaded to the cloud database. The cloud database is updated from time to time so that the data information in the cloud database can be displayed on the constructed medical service platform for patients to browse and view, so that they can know the service level of each medical service unit on the medical service platform, so that patients can better understand the status of each medical service unit in the preset city, and when necessary, the medical service platform can recommend a hospital for patients to choose.

[0077] To summarize, the present invention enables the preset patient to obtain the scores of the medical service capabilities, efficiency service capabilities and safety service capabilities of the medical service units in the preset city from other patients other than himself, so that he can make a more comprehensive choice of medical service units that suits him more in the future when suffering from the same disease. At the same time, based on the big data collected mainly from other patients, it can recommend high-scoring medical service units to the preset patient under different criticality levels of the patients, thereby improving the efficiency and reliability of the preset patient's selection of medical service units, and allowing other patients including the preset patient to compare medical treatment plans based on the collected scoring data, so that patients can make more objective planning choices and make medical services more humane.

[0078] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention 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 invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A medical standard system construction system based on cloud computing, characterized in that: include: A medical data acquisition unit is used to acquire medical service units in a preset city, and to acquire the diagnosis and treatment data of personnel who have visited each of the medical service units in the preset city within the last 1 to 2 months. The medical service units include public medical institutions and private medical institutions. The diagnosis and treatment data acquisition unit includes a coordinate positioning acquisition module, a distance calculation module and a data extraction module. The coordinate positioning acquisition module is used to obtain the geographic positioning data of each medical service unit in the preset city; The distance calculation module is used to calculate the distance from the home address of the personnel who visited the medical service units in the preset city in the last 1 to 2 months to the corresponding medical service units; The data extraction module is used to extract data information about the medical history, physical examination results, diagnosis and treatment plan of the preset patient from the diagnosis and treatment data, and the treatment plan includes the type and process of surgery; A diagnosis and treatment data sorting module, which responds to the data information extracted by the data extraction module and is used to sort the diagnosis and treatment data of the preset patient in the last three years in a forward and backward order, extract at least three identical disease data from the sorted data, and obtain the medical service unit selected by the preset patient based on the extracted identical disease data; and generate a cloud database based on the data information obtained by the medical data acquisition unit and the diagnosis and treatment data sorting module; A service data collection module, used to collect resource data information of each medical service unit in the preset city, upload the collected resource data information to the cloud database, and update the cloud database at the same time; The data management recommendation unit is used to classify the medical service units into , , ..., , Indicates the selected a medical service unit, and marks the medical service unit as the first choice medical service unit, and marks other medical service units that can also treat the same disease as the second choice medical service unit; the data management recommendation unit includes a data analysis module, a distinction comparison module and a recommendation module; The data analysis module is used to analyze the medical service units selected by other patients in the preset city except the preset patient when suffering from the same disease as the preset patient, and the other patients are at least 100 patients, wherein the selected medical service units are medical service units other than the first selected medical service units, and the diagnosis and treatment data of the medical service units selected by other patients are collected, and the collected diagnosis and treatment data include the collection according to three dimensions of medical service capability, efficiency service capability and safety service capability, and obtain the scores of other patients except the preset patient on the service content of the selected medical service units in the three dimensions.

2. The cloud computing-based medical standard system construction system according to claim 1, characterized in that: In the service data collection module, the resource data management information of each medical service unit includes outpatient information management, inpatient information management, LIS inspection system, drug store and pharmacy information management, medical record information management and medical insurance interface information management; Among them, the outpatient information management includes the registration fee and drug fee; The hospitalization information management includes ward allocation and fee information, and the fee information includes bed fees and meal fees of the affiliated medical service unit; The LIS testing system includes specimen collection, laboratory testing, report issuance and quality control management for patients; The drug warehouse and pharmacy information management includes drug management, and the drug management includes drug storage acceptance and drug storage and maintenance; The medical record information management includes the collection, organization, processing, storage, quality control and services of case information; the services include statistical analysis and information management; The medical insurance interface information management includes confirming the identity of medical insurance patients and determining their medical insurance benefit eligibility.

3. The cloud computing-based medical standard system construction system according to claim 1, characterized in that: In the data analysis module, the three dimensions of service content, wherein the medical service capability content includes the range of disease types covered by the treatment cases and the technical difficulty level of the treatment cases; The efficiency service capability includes the cost and time spent on treating similar diseases; The safety service capabilities include case fatality rates where the probability of death from the disease itself is low; Among them, the medical service units outside the first-selected medical service units include the second-selected medical service units, and the number of the second-selected medical service units is at least 10; and the service content scores of the three dimensions of each medical service unit are all given 10 points. When the score of the service content of any dimension of any medical service unit is lower than 5 points, the system determines that the corresponding medical service unit is an unqualified medical service unit, and excludes the corresponding medical service unit from the second-selected medical service units; otherwise, no judgment is made.

4. The cloud computing-based medical standard system construction system according to claim 3, characterized in that: The differentiation and comparison module is used to divide the second selected medical service units into a high-scoring group, a medium-scoring group and a low-scoring group based on the scoring results of the service contents of the three dimensions, and each group of medical service units is at least 3 or more. At the same time, the scores of the preset patients on the first selected medical service units regarding the service contents of the three dimensions are obtained, and the 3 to 5 medical service units with the highest scores are selected, and the proportion of the scores of the medical service units to the scores of the medical service units in the high-scoring group is calculated according to the following formula: ;in, Indicates the number of medical service units constituting the first choice; In the formula, Indicates the preset patient Next to Number of visits to medical service units, Represents the average score in the first selected medical service unit.

5. The cloud computing-based medical standard system construction system according to claim 4, characterized in that: The recommendation module responds to the weight calculation result. When the preset patient needs to go to the same treatment department for medical treatment in the future period, the system preferentially recommends the medical service unit in the high-score group and the medical service unit with the highest weight score among the first selected medical service units to the preset patient.

6. The cloud computing-based medical standard system construction system according to claim 5, characterized in that: In addition to the preset patients, the scores of other patients on the service contents of the three dimensions of the first-selected medical service unit are collected, and the 3 to 5 medical service units with the highest scores are selected according to the scoring results. When the 3 to 5 medical service units with the highest scores are consistent with the medical service units scored by the preset patients, the system will not replace the recommended medical service unit with the highest proportion score among the first-selected medical service units when the preset patients need to go to the same treatment department for medical treatment in the future. Otherwise, the system will replace it.

7. The cloud computing-based medical standard system construction system according to claim 6, characterized in that: When a patient preset in the future time period becomes ill, the severity of his / her illness is obtained, and the severity of the illness is divided into four levels: critical, severe or rapidly deteriorating, urgent, and non-urgent. When the severity of the illness is critical, severe or rapidly deteriorating, and urgent, the system recommends to the preset patient the medical service unit with the highest score among other patients in the first selected medical service unit and the medical service unit with the highest score in the high-scoring group.

8. The cloud computing-based medical standard system construction system according to claim 7, characterized in that: When the severity of the illness is non-emergency, obtain the medical service unit with the highest score in the first selected medical service units and the medical service unit with the highest score in the high-score group, and the number of people waiting in line for medical treatment in the corresponding treatment departments of the illness, and give 1 to 3 of the medical service units with the least number of people waiting in line for medical treatment in the corresponding treatment departments as priority recommended medical service units.

9. The cloud computing-based medical standard system construction system according to claim 8, characterized in that: Among the given priority recommended medical service units, the distance from the medical service unit to the preset patient's home address is obtained, and the conditions for recommending the medical service unit to the preset patient are given in order of distance.

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