CN117292829A - Graded diagnosis and treatment information system for coronary heart disease - Google Patents
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The invention discloses a hierarchical diagnosis and treatment information system for coronary heart disease, which comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring basic information of a patient through a mobile terminal or other data acquisition equipment; the first analysis module is used for judging whether the patient is suspected to suffer from coronary heart disease or not based on the basic information of the patient and the suspected disease identification model; the index data acquisition module is used for acquiring clinical characterization index data of the coronary heart disease of the patient; the second analysis module is used for acquiring the risk level of the coronary heart disease of the patient based on the clinical characterization index data and acquiring the coronary heart disease diagnosis and treatment strategy of the patient based on the risk level; by adopting the invention, the functions of comprehensive risk assessment, layering auxiliary diagnosis treatment, intelligent follow-up visit management and the like of the related risk factors of the coronary heart disease/chest pain patient are realized according to the comprehensive information of the patient and the grading standard of the chest pain center alliance, and personalized diagnosis and treatment advice are provided for the patient, thereby improving the medical efficiency and avoiding wasting medical resources.
Description
Technical Field
The invention relates to the technical field of medical information, in particular to a coronary heart disease grading diagnosis and treatment information system.
Background
Coronary heart disease is classified into chronic coronary syndrome and acute coronary syndrome according to the principle of acute and chronic treatment. Patients with chronic coronary syndrome need to receive medication and lifestyle intervention, and patients with acute coronary syndrome need to receive medication and revascularization therapy. According to the Chinese chest pain center construction standard formulated by the Chinese chest pain center and the coronary heart disease screening and diagnosis and treatment scheme issued by Hubei province chest pain center alliance, the basic medical institution is responsible for carrying out the works of screening and health education propaganda of coronary heart disease and high risk factors thereof, daily management follow-up of chronic coronary syndrome, primary screening evaluation of the illness state of acute coronary syndrome patients, emergency treatment and the like of people over 35 years old; the basic chest pain center provides services such as definitive monitoring, drug treatment and the like for patients with acute coronary syndrome; standard edition chest pain centers provide whole course diagnosis and comprehensive treatment of patients with acute coronary syndrome, including medication, revascularization therapy, etc.
Because the diagnosis and treatment of coronary heart disease of each big hospital at present depend on the experience of each doctor, and the method for treating coronary heart disease is also the conventional treatment method according to coronary heart disease, medical resources are wasted, and the diagnosis efficiency of people is reduced.
Disclosure of Invention
The invention aims to solve the problems and provide the coronary heart disease grading diagnosis and treatment information system which screens, analyzes and integrates patient information through an intelligent and informationized means, so that information sharing in an area is realized, and the diagnosis and treatment efficiency of people is improved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the invention provides a hierarchical diagnosis and treatment information system for coronary heart disease, which comprises: the data acquisition module is used for acquiring basic patient information including sign information, symptom information, past history information, medication history information and examination results through the mobile terminal or other data acquisition equipment; the first analysis module is used for judging whether the patient is suspected to suffer from coronary heart disease or not based on the basic patient information; the index data acquisition module is used for acquiring clinical characterization index data of the coronary heart disease of the patient; the clinical characterization index data comprise electrocardiogram characteristic data, troponin content data and coronary artery image data; a second analysis module: the method is used for acquiring the risk level of the coronary heart disease of the patient based on the clinical characterization index data and acquiring the coronary heart disease diagnosis and treatment strategy of the patient based on the risk level.
Preferably, the first analysis module includes: the filtering unit is used for filtering the basic patient information to obtain filtered basic patient information, and the basic patient information comprises structural data and text data; a suspected disease identification unit for inputting the filtered patient basic information into a suspected disease identification model to obtain a suspected disease result corresponding to the patient basic information
Preferably, the second analysis module includes: the characterization score acquisition unit is used for acquiring the characterization score of each single index based on each item of clinical characterization index data and corresponding standard data; and the comprehensive score calculation unit is used for acquiring the comprehensive score of the patient based on the weight occupied by each single index and the characterization score of each single index.
Preferably, the coronary heart disease grading diagnosis and treatment information system further comprises: a risk assessment sub-module for calculating a risk score of a patient according to the patient basic information and acquiring a risk level of the patient based on the risk score; a hierarchical management sub-module for acquiring a diagnosis and treatment strategy of the patient based on the risk level and a hierarchical standard of the regional associated medical institution; the auxiliary diagnosis sub-module is used for inputting the basic information of the patient into a diagnosis strategy generation model and acquiring the diagnosis strategy of the patient; and the auxiliary treatment sub-module is used for matching a treatment strategy corresponding to the basic patient information in a treatment strategy knowledge graph based on the basic patient information.
Preferably, the coronary heart disease hierarchical diagnosis and treatment information system further comprises a data storage module, wherein the data storage module is used for storing the basic information of the patient, the diagnosis strategy and the treatment strategy in a database in a one-to-one correspondence mode.
Preferably, the coronary heart disease grading diagnosis and treatment information system further comprises a data display module, wherein the data display module is used for generating visual page information based on the basic information of the patient, the risk grade of the patient and the risk score of the patient, and then sending the visual page information to the mobile terminal of the patient.
Preferably, the coronary heart disease grading diagnosis and treatment information system further comprises a data mining module; the data mining module comprises an evaluation sub-module and an improvement sub-module; the evaluation submodule is used for acquiring the number of the patients suffering from the coronary heart disease in each area and generating the morbidity in each area based on the number of the patients suffering from the coronary heart disease; the improvement submodule is used for selecting target areas with incidence rate larger than a preset threshold value from all the areas and sending coronary heart disease prevention suggestions to people in the target areas.
The beneficial effects of the embodiment of the application are that: by adopting the coronary heart disease grading diagnosis and treatment information system, the functions of comprehensive risk assessment, layering auxiliary diagnosis treatment, intelligent follow-up management and the like of related risk factors of the coronary heart disease/chest pain patient are realized according to the comprehensive information of the patient and the grading standard of the chest pain center alliance, and personalized diagnosis and treatment advice are provided for the patient, so that the medical efficiency is improved, and the waste of medical resources is avoided.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the hierarchical diagnosis and treatment information system for coronary heart disease according to the present invention;
fig. 2 is a schematic structural diagram of the method for classifying and diagnosing coronary heart disease according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, based on the examples herein, which are within the scope of the invention as defined by the claims, will be within the scope of the invention as defined by the claims.
Referring to fig. 1, the hierarchical diagnosis and treatment information system for coronary heart disease comprises:
and a data acquisition module: the system is used for collecting basic information of a patient through a mobile terminal or other data collecting equipment, wherein the basic information of the patient comprises sign information, symptom information, past history information, medication history information and checking results;
the first analysis module is used for judging whether the patient is suspected to suffer from coronary heart disease or not based on the basic information of the patient and the suspected disease identification model;
the first analysis module comprises a filtering unit which is used for filtering the basic patient information to obtain filtered basic patient information, wherein the filtered basic patient information comprises structural data and text data; and the suspected illness identification unit is used for inputting the filtered patient basic information into a suspected illness identification model and acquiring a suspected illness result corresponding to the patient basic information.
Specifically, the suspected disease identification model comprises a first feature extraction submodule, a second feature extraction submodule and a classification submodule, wherein the first feature extraction submodule is used for extracting structural feature vectors in structural data in basic information of a patient; the second feature extraction submodule is used for extracting text feature mining information and text feature vectors in text data in the basic information of the patient; and inputting the structured feature vector and the text feature vector into a classification sub-model to obtain a suspected diseased result corresponding to the basic information of the patient.
And training the suspected disease recognition model by using the basic information of the diseased patient and decomposing the basic information into structural data and text data serving as training data until the loss function of the classification submodel converges to obtain a trained disease recognition model.
The index data acquisition module is used for acquiring clinical characterization index data of the coronary heart disease of the patient;
the clinical characterization index data comprises electrocardiogram characteristic data, troponin content data and coronary artery image data;
the index data acquisition module comprises a characterization score acquisition unit and a comprehensive score calculation unit, wherein the characterization score acquisition unit is used for acquiring the characterization score of each single index based on each item of clinical characterization index data and corresponding standard data; the comprehensive score calculation unit is used for obtaining the comprehensive score of the patient based on the weight occupied by each single index and the characterization score of each single index.
A second analysis module: the method is used for acquiring the risk level of the coronary heart disease of the patient based on the clinical characterization index data and acquiring the coronary heart disease diagnosis and treatment strategy of the patient based on the risk level.
According to the comprehensive information of the patient and the grading standard of the chest pain center alliance, the comprehensive risk assessment, layering auxiliary diagnosis treatment, intelligent follow-up visit management and other functions of the related risk factors of the coronary heart disease/chest pain patient are achieved, personalized diagnosis and treatment advice are provided for the patient, accordingly, the medical efficiency is improved, and medical resources are prevented from being wasted.
In an embodiment of the application, the data analysis module further includes:
a risk assessment sub-module for calculating a risk score of the patient according to the patient basic information and acquiring a risk level of the patient based on the risk score;
the risk score of the patient can be calculated according to the basic information of the patient by using a TIMI scoring method or a GRACE scoring method, and the risk grades of the patient can be divided into three grades of low risk, medium risk and high risk according to different risk grades corresponding to different scoring numerical ranges.
The grading management sub-module is used for acquiring the diagnosis and treatment strategy of the patient based on the risk grade and grading standard of the regional associated medical institutions;
the submodule is responsible for recommending proper diagnosis and treatment strategies for patients according to the risk level of chest pain patients and the grading standard of chest pain center alliance and subordinate member units, such as suggesting life style intervention for low-risk patients and receiving health ventilating and teaching and follow-up management in a certain chest pain relief unit; high risk patients suggest further determination of diagnosis by examination such as perfecting angiography to a chest pain center. Meanwhile, the sub-module pushes the diagnosis and treatment strategy to relevant medical staff.
The auxiliary diagnosis sub-module is used for inputting the basic information of the patient into the diagnosis strategy generation model to acquire the diagnosis strategy of the patient;
the diagnosis strategy generation model is formed by training a neural network model by using the calibrated diagnosis strategy.
Specifically, the diagnosis strategy generation model is input according to the basic information of the patient, and the diagnosis strategy of the patient is obtained.
An auxiliary treatment sub-module is used for matching treatment strategies corresponding to the basic information of the patient in a treatment strategy knowledge graph based on the basic information of the patient.
In the embodiment, a cloud computing technology is adopted, data storage and sharing service are provided for medical institutions of different levels and types, and integrity, sequence and homogeneity of individual coronary heart disease diagnosis and treatment are achieved. The existing data storage and sharing system generally only covers one or a plurality of medical institutions, does not cover the Hubei province chest pain center and the chest pain relief unit for information sharing, and does not consider different requirements of the patient on the coronary heart disease in the acute phase and the chronic phase.
In an embodiment, the coronary heart disease hierarchical diagnosis and treatment information system further comprises a data storage module, wherein the data storage module is used for storing the basic information of the patient, the diagnosis strategy and the treatment strategy in a database in a one-to-one correspondence manner.
By constructing a database corresponding to the basic information, diagnosis strategies and treatment strategies of the patient one by one, a foundation is laid for the cloud server to generate the diagnosis and treatment strategies of the patient based on the database.
In an embodiment, the coronary heart disease hierarchical diagnosis and treatment information system further includes a data display module, where the data display module is configured to generate visual page information based on the patient basic information, the patient risk level, and the patient risk score, and then send the visual page information to the mobile terminal of the patient.
In one embodiment, the coronary heart disease hierarchical diagnosis and treatment information system further comprises a data mining module; the data mining module comprises an evaluation sub-module and an improvement sub-module; the evaluation submodule is used for acquiring the number of the patients suffering from the coronary heart disease in each area and generating the morbidity in each area based on the number of the patients suffering from the coronary heart disease;
the improvement submodule is used for selecting target areas with incidence rate larger than a preset threshold value from all the areas and sending coronary heart disease prevention suggestions to people in the target areas.
According to the characteristics of diversification and dynamics of the chest pain center, the embodiment of the application adopts a big data technology, so that on one hand, the functions of dynamic quality control and evaluation of chest pain center business development are realized, and on the other hand, the functions of evaluation and analysis of the current situation of prevention and control of coronary heart disease and related diseases are realized.
In an embodiment of the application, as shown in fig. 2, a method for grading diagnosis and treatment of coronary heart disease is provided:
s1, acquiring basic information of a patient through a mobile terminal or other data acquisition equipment, wherein the basic information of the patient comprises sign information, symptom information, past history information, medication history information and examination results;
s2, judging whether the patient is suspected to suffer from coronary heart disease or not based on the basic information of the patient and the suspected disease identification model;
s3, acquiring clinical characterization index data of the coronary heart disease of the patient; the clinical characterization index data comprises electrocardiogram characteristic data, troponin content data and coronary artery image data;
s4, acquiring the risk level of the coronary heart disease of the patient based on the clinical characterization index data, and acquiring the coronary heart disease diagnosis and treatment strategy of the patient based on the risk level.
In the embodiment of the application, the coronary heart disease grading diagnosis and treatment method can be used for rapidly processing the basic information of the patient and obtaining the risk grade of the coronary heart disease, wherein the used suspected disease identification model has high grading speed and high accuracy, and the limited medical resources are fully utilized.
In an embodiment, the data analysis module of the system is deployed on a cloud server to provide services such as data storage, transmission, analysis, display, mining and the like; and installing corresponding software or application on each terminal device to realize the functions of data acquisition, transmission, display and the like. The terminal equipment comprises a mobile terminal (such as a smart phone, a tablet personal computer and the like), medical equipment (such as an electrocardiograph, a sphygmomanometer, an oximeter and the like), wearable equipment (such as a smart bracelet, a smart watch and the like) and other equipment (such as a computer, a display screen and the like).
The using method of the coronary heart disease grading diagnosis and treatment information system comprises the following steps:
a1, when a chest pain patient appears, firstly, medical staff of a chest pain relief unit or an emergency ambulance collect basic information of the patient through a mobile terminal or other equipment, and upload the basic information of the patient to a cloud server;
a2, medical staff intelligently analyze patient information through a data analysis module on a cloud server, calculate risk scores of patients, divide the patients into three grades of low risk, medium risk and high risk according to the risk scores, and push grading results to relevant medical staff through the data analysis module;
a3, recommending diagnosis and treatment strategies possibly suitable for the patient to medical staff by the data analysis module according to the risk level of the patient and grading standards formulated by the Hubei province chest pain center alliance, comprehensively judging, modifying and confirming by the medical staff according to the medical information of the patient, and pushing the confirmed diagnosis and treatment strategies to the patient by the data analysis module;
a4, according to the diagnosis and treatment strategy, the patient performs corresponding examination and treatment in situ or is transported to a chest pain center with a corresponding grade, and medical data information is uploaded to a cloud server through a data acquisition module and a data storage module;
a5, medical staff checks the checking result, the preliminary diagnosis result, the treatment scheme and the like of the chest pain treatment unit of the patient through a data display module of the mobile terminal or other equipment, further arranges the patient to perfect the relevant checking, and collects and uploads data to a cloud server;
a6, the data analysis module on the cloud server intelligently analyzes the patient information, provides possible diagnosis suggestions and treatment suggestions for the patient, and pushes the suggestions to relevant medical staff; medical staff performs final diagnosis and treatment on the patient according to the advice and own judgment, and uploads the result to a cloud server;
a7, a data storage module on the cloud server stores patient information in a database, so that safety and persistence of data are realized; the data display module on the cloud server displays the data to the patient and the related medical staff for the diagnosis through a visual interface or other modes; the data analysis module regularly reminds medical staff of the chest pain relief unit to carry out follow-up management according to a disease management scheme formulated by the Hubei province chest pain center alliance;
a8, medical staff of the chest pain relief unit visit patients in batches through an intelligent voice function module in the data analysis module, automatically identify and collect follow-up information, analyze and mark patients which are not up to standard in management, and remind the medical staff of performing intervention management;
and a9, a data mining module on the cloud server is used for mining and analyzing the data in the database, so that the functions of quality control and evaluation of the chest pain center and the chest pain relief unit are realized, corresponding feedback and advice are given, and the evaluation function of disease prevention and control in different areas is realized.
According to the embodiment of the application, the operation efficiency and management quality of the chest pain center and the chest pain relief unit can be improved, the cooperativity among different medical institutions is improved, the cost and the resource consumption are reduced, and the manual operation errors are reduced.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. The utility model provides a hierarchical diagnosis and treatment information system of coronary heart disease which characterized in that: the coronary heart disease grading diagnosis and treatment information system comprises:
the data acquisition module is used for acquiring basic patient information including sign information, symptom information, past history information, medication history information and examination results through the mobile terminal or other data acquisition equipment;
the first analysis module is used for judging whether the patient is suspected to suffer from coronary heart disease or not based on the basic information of the patient and the suspected disease identification model;
the index data acquisition module is used for acquiring clinical characterization index data of the coronary heart disease of the patient; the clinical characterization index data comprise electrocardiogram characteristic data, troponin content data and coronary artery image data;
a second analysis module: the method is used for acquiring the risk level of the coronary heart disease of the patient based on the clinical characterization index data and acquiring the coronary heart disease diagnosis and treatment strategy of the patient based on the risk level.
2. The hierarchical diagnosis and treatment information system for coronary heart disease according to claim 1, wherein: the first analysis module includes:
the filtering unit is used for filtering the basic patient information to obtain filtered basic patient information, and the basic patient information comprises structural data and text data;
and the suspected disease identification unit is used for inputting the filtered patient basic information into a suspected disease identification model and acquiring a suspected disease result corresponding to the patient basic information.
3. The hierarchical diagnosis and treatment information system for coronary heart disease according to claim 1, wherein: the second analysis module includes:
the characterization score acquisition unit is used for acquiring the characterization score of each single index based on each item of clinical characterization index data and corresponding standard data;
and the comprehensive score calculation unit is used for acquiring the comprehensive score of the patient based on the weight occupied by each single index and the characterization score of each single index.
4. The hierarchical diagnosis and treatment information system for coronary heart disease according to claim 1, wherein: the coronary heart disease grading diagnosis and treatment information system further comprises:
a risk assessment sub-module for calculating a risk score of a patient according to the patient basic information and acquiring a risk level of the patient based on the risk score;
a hierarchical management sub-module for acquiring a diagnosis and treatment strategy of the patient based on the risk level and a hierarchical standard of the regional associated medical institution;
the auxiliary diagnosis sub-module is used for inputting the basic information of the patient into a diagnosis strategy generation model and acquiring the diagnosis strategy of the patient;
and the auxiliary treatment sub-module is used for matching a treatment strategy corresponding to the basic patient information in a treatment strategy knowledge graph based on the basic patient information.
5. The hierarchical diagnosis and treatment information system for coronary heart disease according to claim 1, wherein: the coronary heart disease hierarchical diagnosis and treatment information system further comprises a data storage module, wherein the data storage module is used for storing the basic information of the patient, the diagnosis strategy and the treatment strategy in a database in a one-to-one correspondence mode.
6. A method according to claim 1, characterized in that: the coronary heart disease grading diagnosis and treatment information system further comprises a data display module, wherein the data display module is used for generating visual page information based on the basic information of the patient, the risk grade of the patient and the risk score of the patient, and then sending the visual page information to the mobile terminal of the patient.
7. The hierarchical diagnosis and treatment information system for coronary heart disease according to claim 1, wherein: the coronary heart disease grading diagnosis and treatment information system also comprises a data mining module; the data mining module comprises an evaluation sub-module and an improvement sub-module;
the evaluation submodule is used for acquiring the number of the patients suffering from the coronary heart disease in each area and generating the morbidity in each area based on the number of the patients suffering from the coronary heart disease;
the improvement submodule is used for selecting target areas with incidence rate larger than a preset threshold value from all the areas and sending coronary heart disease prevention suggestions to people in the target areas.
8. A method for the hierarchical diagnosis and treatment of coronary heart disease, the method comprising:
collecting basic patient information including sign information, symptom information, past history information, medication history information and examination results by a mobile terminal or other data collecting equipment;
based on the patient basic information, judging whether the patient is suspected to suffer from coronary heart disease;
acquiring clinical characterization index data of the coronary heart disease of the patient; the clinical characterization index data comprise electrocardiogram characteristic data, troponin content data and coronary artery image data;
and acquiring the risk level of the coronary heart disease of the patient based on the clinical characterization index data, and acquiring the coronary heart disease diagnosis and treatment strategy of the patient based on the risk level.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method of claim 7 when executing the computer program.
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| CN117894478A (en) * | 2024-03-14 | 2024-04-16 | 天津市肿瘤医院（天津医科大学肿瘤医院） | Informationized intelligent management method for severe cases of oncology department of severe cases of oncology |
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