CN117789952B - Nursing information online sharing system based on computer - Google Patents
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Abstract
The invention discloses a nursing information online sharing system based on a computer, which relates to the field of information sharing and comprises an information sharing platform; the information sharing platform is in communication connection with an information input module, an information storage module, an information retrieval module, an information distribution module, an information acquisition module, an information analysis module and an information processing module; the information input module is used for inputting data information; the information storage module is used for storing data information; the information distribution module is used for distributing task data of nursing staff; the information acquisition module is used for acquiring patient medical record information; the information analysis module is used for analyzing and processing patient medical record information to obtain patient characteristic data; the information processing module is used for establishing an on-diagnosis patient feature library according to the patient feature data and checking related medical staff according to the on-diagnosis patient feature library; the invention improves the efficiency and accuracy of the nursing process of medical staff to a certain extent.
Description
Technical Field
The invention relates to the field of information sharing, in particular to a nursing information online sharing system based on a computer.
Background
Along with the development of society and the improvement of living standard of people, the living mode of people is continuously changed, especially the medical mode, and online reservation, equipment monitoring and information sharing are gradually indispensable in the life of people; nursing work is an important link in the hospital work process, and nursing tasks are relatively heavy, and fine nursing work is missed frequently due to busy nursing work. In the prior art, a work feedback mechanism and schedule settings are set for nursing work of doctors and nurses, so that effective communication between doctors and patients is effectively improved;
However, the systems used in various hospitals may be different, and there are medical staff that need to repeatedly enter information many times, so that patients do not pay attention to the mind, and thus information collection is unsuccessful, and in addition, the working efficiency of the medical staff in the working process is affected; therefore, how to quickly and conveniently record patient information, and bring convenience to both sides while improving the efficiency of staff is a problem to be solved.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a nursing information online sharing system based on a computer.
The aim of the invention can be achieved by the following technical scheme: the nursing information online sharing system based on the computer comprises an information sharing platform, wherein the information sharing platform is in communication connection with an information input module, an information storage module, an information retrieval module, an information distribution module, an information acquisition module, an information analysis module and an information processing module;
The information input module is used for inputting medical information and patient history medical record information in the information sharing platform and sending the input information to the information storage module;
The information storage module is used for storing the data information generated in the information sharing platform and carrying out encryption processing on the data information;
the information retrieval module is used for carrying out identity verification on related medical personnel and patient information, and judging whether to send the stored data information to the corresponding medical account according to the verification result;
The information distribution module is used for acquiring task data of a nursing staff, analyzing and processing the task data, and distributing data information of a corresponding patient to an account number of the nursing staff according to an analysis result;
The information acquisition module is used for acquiring patient medical record information by nursing equipment and medical staff and uploading the acquired patient medical record information to the information analysis module;
The information analysis module is used for acquiring patient medical record information, analyzing and processing the patient medical record information through an intelligent semantic algorithm, extracting patient characteristic data in the patient medical record information, setting medical record links according to the acquisition time, and uploading the medical record links to the patient history medical record information;
the information processing module is used for establishing an on-diagnosis patient feature library corresponding to medical staff, and checking the related medical staff according to the on-diagnosis patient feature library.
Further, the information input module is used for inputting medical information and patient history medical record information in the information sharing platform, and sending the input information to the information storage module, and the process comprises the following steps:
the information input module is provided with a medical care input unit and a medical record input unit;
The medical care input unit is used for inputting hospital information, department information and medical care information in the information sharing platform, and setting corresponding hospital information and administrative staff of the department information, wherein the medical care information comprises identity information, biological identification information and corresponding practice evidence information of corresponding doctors and nurses, the corresponding administrative staff carries out auditing on the corresponding medical care information, and whether relevant authorities and corresponding doctor accounts and nurse accounts are granted or not is judged according to the auditing result;
The medical record input unit is used for inputting patient information for diagnosis by a relevant hospital in the information sharing platform, and the patient information comprises patient identity information, patient biological identification information and patient medical record information; the obtained patient information is sent to an information storage module.
Further, the information storage module is configured to store data information generated in the information sharing platform and encrypt the data information, and the process includes:
the information storage module is provided with a cloud storage unit and an encryption processing unit;
The cloud storage unit is used for acquiring data information generated in the information sharing platform, generating corresponding storage spaces according to corresponding hospitals and departments, setting corresponding subspaces in the storage spaces according to medical care information, and storing corresponding patient information in the corresponding subspaces;
The encryption processing unit is used for setting a corresponding biological encryption algorithm according to biological identification information corresponding to doctors, nurses and patients, and carrying out encryption processing on the information stored in the cloud storage unit through the biological encryption algorithm.
Further, the information retrieval module is configured to perform identity verification on related medical staff and patient information, and determine whether to send the stored data information to a corresponding medical account according to a verification result, where the process includes:
The information retrieval module is provided with a diagnosis reservation unit and an information retrieval unit;
The diagnosis appointment unit is used for enabling a patient to log in the information sharing platform through a patient account, selecting corresponding hospital, department and corresponding doctor information by the patient, and generating a corresponding registration record according to the patient selection, wherein the registration record comprises patient identity information and corresponding doctor information; sending the registration record to a corresponding doctor account according to doctor information;
The information retrieval unit is used for acquiring registration records, when a patient makes a visit according to the registration records, a doctor retrieves patient information stored in the cloud storage unit through the patient, and if the retrieval is successful, the doctor decrypts the patient information according to biological identification information corresponding to the patient to acquire history medical record information; if the search is unsuccessful, creating corresponding patient information according to the condition of the patient; and inquiring and diagnosing the patient on the basis of the obtained patient information, and generating diagnosis information and nursing information corresponding to the patient.
Further, the information distribution module is configured to obtain task data of a caregiver, analyze the task data, and distribute data information of a corresponding patient to an account of the caregiver according to an analysis result, where the process includes:
The information distribution module is provided with an information statistics unit and an information distribution unit;
The information statistics unit is used for counting the workload of relevant nursing staff in each department, corresponding liability nurses and duty nurses, acquiring corresponding patient information, analyzing and processing the patient information through the intelligent analysis model, acquiring importance data of corresponding patients, setting corresponding weight coefficients, multiplying the corresponding weight coefficients by the importance data of each patient, adding the obtained products, and recording the obtained sum as task data of the corresponding nurses;
The information distribution unit acquires task data of each nurse in the corresponding department, inputs patient information of a corresponding patient into the intelligent analysis model for analysis and processing, acquires importance data of the corresponding patient, and distributes the importance data to corresponding nurse accounts according to the relation between the importance data and the task data of each nurse.
Further, the information acquisition module is used for acquiring patient medical record information by nursing equipment and medical staff, and uploading the acquired patient medical record information to the information analysis module, and the process comprises the following steps:
The information acquisition module is provided with an equipment acquisition unit and a medical care acquisition unit;
Each medical device is included in the device acquisition unit, the corresponding medical device is associated with the corresponding patient, and device medical data in the corresponding patient medical device are acquired;
The medical care acquisition unit is used for nurses to acquire other medical information of corresponding patients; the other medical information is voice data obtained in the process that the nurse communicates with the patient through the other medical information;
the obtained equipment medical data and other medical data are obtained and marked with time, and are recorded as patient medical record information, and the patient medical record information is uploaded to an information analysis module.
Further, the information analysis module obtains patient medical record information, and the process of analyzing and processing the patient medical record information comprises the following steps:
The information analysis module is provided with a feature extraction unit; the feature extraction unit is used for acquiring equipment medical data and other medical information, respectively analyzing and processing the equipment medical data and other medical information, acquiring corresponding patient feature data and corresponding marking time of the equipment medical data and other medical information, generating medical record links according to the obtained patient feature data and the marking time, and uploading the generated medical record links to the historical medical record information.
Further, the information processing module is configured to establish an on-diagnosis patient feature library corresponding to a medical staff, and perform an assessment on the related medical staff according to the on-diagnosis patient feature library, and the process of judging the proficiency level of the medical staff includes:
The information processing module is provided with an information checking unit and an information processing unit;
The information assessment unit is used for acquiring the on-diagnosis patient corresponding to the medical staff, acquiring the patient history medical record information corresponding to the on-diagnosis patient, constructing an on-diagnosis patient feature library according to the on-diagnosis patient of the corresponding medical staff, setting a random number algorithm to acquire the patient medical record information in the on-diagnosis patient feature library, generating a random assessment test question according to the acquired patient medical record information, sending the random assessment test question to an account corresponding to the corresponding medical staff, replying by the account, acquiring an assessment score, presetting an assessment standard interval, and judging whether the patient is qualified according to the relation between the assessment score and the assessment standard interval;
the information processing unit is used for acquiring the assessment results corresponding to the medical staff, and grading the work of the medical staff according to the assessment results.
Compared with the prior art, the invention has the beneficial effects that: the biological encryption algorithm is arranged to encrypt the patient information, so that the possibility of patient information leakage is reduced to a certain extent, and the privacy of the patient is better protected; the information distribution module is used for analyzing and processing the patient information, so that the patient information is sent to a corresponding nurse account, and the rationality of task distribution in the nurse work engineering is improved;
in addition, the information analysis module is used for analyzing and processing the obtained patient medical record information, so that inconvenience caused by language obstruction in the nursing process of medical staff is reduced, and corresponding keyword information is obtained by converting the language, and the workload is reduced.
Drawings
Fig. 1 is a schematic diagram of a nursing information online sharing system based on a computer according to an embodiment of the present application.
Detailed Description
As shown in fig. 1, the on-line nursing information sharing system based on a computer comprises an information sharing platform, wherein the information sharing platform is in communication connection with an information input module, an information storage module, an information retrieval module, an information distribution module, an information acquisition module, an information analysis module and an information processing module;
The information input module is used for inputting medical information and patient history medical record information in the information sharing platform and sending the input information to the information storage module, and the specific process comprises the following steps:
the information input module is provided with a medical care input unit and a medical record input unit;
The medical care input unit is used for inputting hospital information, department information and medical care information in the information sharing platform, and setting corresponding hospital information and administrative staff of the department information, wherein the medical care information comprises identity information, biological identification information and corresponding practice evidence information of corresponding doctors and nurses, the corresponding administrative staff carries out auditing on the corresponding medical care information, and whether relevant authorities and corresponding doctor accounts and nurse accounts are granted or not is judged according to the auditing result;
The identity information comprises a name, identity card information and a mobile phone number for real-name authentication, and the biological identification information is any one of various biological identification types such as face identification, fingerprint identification or voiceprint identification; the practice certification information includes corresponding qualification information, degree certificates, and other practices certificates.
The medical record input unit is used for inputting patient information for diagnosis by a relevant hospital in the information sharing platform, and the patient information comprises patient identity information, patient biological identification information and patient medical record information; transmitting the obtained patient information to an information storage module;
it should be further noted that, in the implementation process, the patient medical record information corresponding to the patient information is submitted according to the doctor corresponding to the patient, and is different from the patient history medical record information stored in the information sharing platform, if the patient does not use the information sharing platform, the corresponding medical staff submits the corresponding patient information.
The information storage module is used for storing the data information generated in the information sharing platform and carrying out encryption processing on the data information, and the specific process comprises the following steps:
the information storage module is provided with a cloud storage unit and an encryption processing unit;
The cloud storage unit is used for acquiring data information generated in the information sharing platform, generating corresponding storage spaces according to corresponding hospitals and departments, setting corresponding subspaces in the storage spaces according to medical care information, and storing corresponding patient information in the corresponding subspaces;
the encryption processing unit is used for setting a corresponding biological encryption algorithm according to biological identification information corresponding to doctors, nurses and patients, and carrying out encryption processing on the information stored in the cloud storage unit through the biological encryption algorithm;
It should be further noted that, in the specific implementation process, the encryption processing unit is associated with the patient in the diagnosis state, when the patient is in the diagnosis, the medical staff corresponding to the patient can decrypt the patient through the biological identification information, and if the patient is not in the diagnosis, the patient information cannot be decrypted; the corresponding medical care checks the related patient information by submitting a decryption application to the information sharing platform, and the information sharing platform correlates the decryption application with the patient information to generate a corresponding link;
By setting the biological encryption algorithm to encrypt the patient information, the possibility of patient information leakage is reduced to a certain extent, and thus the privacy of the patient is better protected.
The information retrieval module is used for carrying out identity verification on related medical staff and patient information, judging whether to send the stored data information to the corresponding medical account according to the verification result, and the specific process comprises the following steps:
The information retrieval module is provided with a diagnosis reservation unit and an information retrieval unit;
The diagnosis appointment unit is used for enabling a patient to log in the information sharing platform through a patient account, selecting corresponding hospital, department and corresponding doctor information by the patient, and generating a corresponding registration record according to the patient selection, wherein the registration record comprises patient identity information and corresponding doctor information; sending the registration record to a corresponding doctor account according to doctor information;
The information retrieval unit is used for acquiring registration records, when a patient makes a visit according to the registration records, a doctor retrieves patient information stored in the cloud storage unit through the patient, and if the retrieval is successful, the doctor decrypts the patient information according to biological identification information corresponding to the patient to acquire history medical record information; if the search is unsuccessful, creating corresponding patient information according to the condition of the patient; and inquiring and diagnosing the patient on the basis of the obtained patient information, and generating diagnosis information and nursing information corresponding to the patient.
The information distribution module is used for acquiring task data of a nursing staff, analyzing and processing the task data, and distributing data information of a corresponding patient to an account number of the nursing staff according to an analysis result, wherein the specific process comprises the following steps:
The information distribution module is provided with an information statistics unit and an information distribution unit;
The information statistics unit is used for counting the workload of relevant nursing staff in each department, corresponding liability nurses and duty nurses, acquiring corresponding patient information, analyzing and processing the patient information through the intelligent analysis model, acquiring importance data of corresponding patients, setting corresponding weight coefficients, multiplying the corresponding weight coefficients by the importance data of each patient, adding the obtained products, and recording the obtained sum as task data of the corresponding nurses;
The information distribution unit acquires task data of each nurse in the corresponding department, inputs patient information of a corresponding patient into the intelligent analysis model for analysis and processing, acquires importance data of the corresponding patient, and distributes the importance data into corresponding nurse accounts according to the relation between the importance data and the task data of each nurse;
It should be further noted that, in the implementation process, the importance data of the intelligent analysis model in the information distribution module is obtained by training according to the risk degree corresponding to the patient information in the information sharing platform, and the importance data is in direct proportion to the risk degree of the patient information;
The information distribution unit acquires the average value of task data corresponding to nurses in a department, sets an error interval, analyzes importance data corresponding to patient information which is not distributed and task data corresponding to current moments of all nurses, acquires preset task data, distributes the patient information to the nurses preferentially if the preset task data is smaller than the lower limit of the error interval corresponding to the average value of the corresponding task data, and distributes the patient information to the nurses if the preset task data belongs to the error interval corresponding to the average value of the corresponding task data and does not distribute preferentially; if the preset task data are all larger than the upper limit of the error interval corresponding to the average value of the corresponding task data; acquiring the sequence of task data in the department nurses from low to high, and distributing the task data to nurses corresponding to the lowest sequence;
In addition, the information distribution module analyzes and processes the patient information, so that the patient information is sent to the corresponding nurse account, and the rationality of task distribution in the nurse work engineering is improved.
The information acquisition module is used for acquiring patient medical record information by nursing equipment and medical staff, and uploading the acquired patient medical record information to the information analysis module, and the specific process comprises the following steps:
The information acquisition module is provided with an equipment acquisition unit and a medical care acquisition unit;
Each medical device is included in the device acquisition unit, the corresponding medical device is associated with the corresponding patient, and device medical data in the corresponding patient medical device are acquired;
The medical care acquisition unit is used for nurses to acquire other medical information of corresponding patients; the other medical information is voice data obtained in the process that the nurse communicates with the patient through the other medical information;
the obtained equipment medical data and other medical data are obtained and marked with time, and are recorded as patient medical record information, and the patient medical record information is uploaded to an information analysis module.
The information analysis module is used for acquiring patient medical record information, analyzing and processing the patient medical record information through an intelligent semantic algorithm, extracting patient characteristic data in the patient medical record information, setting medical record links according to the acquisition time, and uploading the medical record links to the patient history medical record information, and the specific process comprises the following steps:
the information analysis module is internally provided with a semantic analysis unit and a feature extraction unit;
The semantic analysis unit is used for acquiring voice data acquired by the medical care acquisition unit, analyzing the acquired voice data, wherein a language recognition algorithm and a semantic analysis algorithm are arranged, the language recognition algorithm acquires voice data of nurses and patients, judges the language types of the nurses and the patients, the language types comprise common dialects and other foreign languages, and converts the common dialects and other foreign languages into common characters according to the language types, the semantic analysis algorithm is used for acquiring corresponding common characters, carrying out semantic analysis on the common characters, acquiring key word information therein and transmitting the acquired key word information to the feature extraction unit;
The characteristic extraction unit is used for acquiring equipment medical data and keyword information, respectively analyzing and processing the equipment medical data and the keyword information, acquiring corresponding patient characteristic data and corresponding marking time of the equipment medical data and the keyword information, generating a medical record link according to the obtained patient characteristic data and the marking time, and uploading the generated medical record link to the history medical record information;
It is further described that in the specific implementation process, the information analysis module is used for analyzing and processing the obtained patient medical record information, so that inconvenience caused by language obstruction in the nursing process of medical staff is reduced, and corresponding keyword information is obtained by converting the language, and the workload is reduced.
The information processing module is used for establishing an on-diagnosis patient feature library corresponding to medical staff, checking the related medical staff according to the on-diagnosis patient feature library and judging the proficiency degree of the medical staff, and the specific process comprises the following steps:
The information processing module is provided with an information checking unit and an information processing unit;
The information assessment unit is used for acquiring the on-diagnosis patient corresponding to the medical staff, acquiring the patient history medical record information corresponding to the on-diagnosis patient, constructing an on-diagnosis patient feature library according to the on-diagnosis patient of the corresponding medical staff, setting a random number algorithm to acquire the patient medical record information in the on-diagnosis patient feature library, generating a random assessment test question according to the acquired patient medical record information, sending the random assessment test question to an account corresponding to the corresponding medical staff, replying by the account, acquiring an assessment score, presetting an assessment standard interval, and judging whether the patient is qualified according to the relation between the assessment score and the assessment standard interval;
the information processing unit is used for acquiring the assessment results corresponding to the medical staff and grading the work of the medical staff according to the assessment results;
it should be further noted that, in the implementation process, the information processing module enhances the proficiency of medical staff on the information of each patient through information examination, so that errors in the nursing process are effectively reduced.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (1)
1. The nursing information online sharing system based on the computer comprises an information sharing platform and is characterized in that the information sharing platform is in communication connection with an information input module, an information storage module, an information retrieval module, an information distribution module, an information acquisition module, an information analysis module and an information processing module;
the information input module is used for inputting medical care information and patient history medical record information of the information sharing platform and sending the input information to the information storage module;
the information storage module is used for storing the data information generated in the information sharing platform and encrypting the data information;
the information retrieval module is used for carrying out identity verification on related medical personnel and patient information, and judging whether to send the stored data information to the corresponding medical account according to the verification result;
The information distribution module is used for acquiring task data of a nursing staff, analyzing and processing the task data, and distributing data information of a corresponding patient to an account of the nursing staff according to an analysis result;
The information acquisition module is used for acquiring patient medical record information by nursing equipment and medical staff and uploading the acquired patient medical record information to the information analysis module;
The information analysis module is used for acquiring patient medical record information, analyzing and processing the patient medical record information through an intelligent semantic algorithm, extracting patient characteristic data of the patient medical record information, setting medical record links according to the acquisition time, and uploading the medical record links to the patient history medical record information;
The information processing module is used for establishing an on-diagnosis patient feature library corresponding to medical staff, and checking the related medical staff according to the on-diagnosis patient feature library;
the information input module is used for inputting medical information and patient history medical record information of the information sharing platform and sending the input information to the information storage module, and comprises:
the information input module is provided with a medical care input unit and a medical record input unit;
The medical care input unit is used for inputting hospital information, department information and medical care information of the information sharing platform, and setting management personnel of corresponding hospital information and department information, wherein the medical care information comprises identity information, biological identification information and corresponding practice certification information of corresponding doctors and nurses, the corresponding management personnel carries out auditing on the corresponding medical care information, and whether relevant authorities are granted or not and corresponding doctor accounts and nurse accounts are judged according to auditing results;
The medical record input unit is used for inputting patient information of a relevant hospital for diagnosis by using the information sharing platform, and the patient information comprises patient identity information, patient biological identification information and patient medical record information; transmitting the obtained patient information to an information storage module;
The information storage module is used for storing the data information generated in the information sharing platform and carrying out encryption processing on the data information, and comprises the following steps:
the information storage module is provided with a cloud storage unit and an encryption processing unit;
The cloud storage unit is used for acquiring data information generated in the information sharing platform, generating corresponding storage spaces according to corresponding hospitals and departments, setting corresponding subspaces in the storage spaces according to medical care information, and storing corresponding patient information in the corresponding subspaces;
the encryption processing unit is used for setting a corresponding biological encryption algorithm according to biological identification information corresponding to doctors, nurses and patients, and carrying out encryption processing on the information stored in the cloud storage unit through the biological encryption algorithm;
The information retrieval module is used for carrying out identity verification on related medical staff and patient information, judging whether to send the stored data information to the corresponding medical account according to the verification result, and comprises the following steps:
The information retrieval module is provided with a diagnosis reservation unit and an information retrieval unit;
the diagnosis appointment unit is used for enabling a patient to log in the information sharing platform through a patient account, selecting corresponding hospital, department and corresponding doctor information by the patient, and generating a corresponding registration record according to the patient selection, wherein the registration record comprises patient identity information and corresponding doctor information; transmitting the registration record to a corresponding doctor account according to doctor information in the registration record;
The information retrieval unit is used for acquiring registration records, when a patient makes a visit according to the registration records, a doctor retrieves patient information stored in the cloud storage unit through the patient, and if the retrieval is successful, the patient information is decrypted according to biological identification information corresponding to the patient, and history medical record information of the patient is acquired; if the search is unsuccessful, creating corresponding patient information according to the condition of the patient; inquiring and diagnosing the patient on the basis of the obtained patient information, and generating diagnosis information and nursing information corresponding to the patient;
the information distribution module is used for acquiring task data of a nursing staff, analyzing and processing the task data, distributing data information of a corresponding patient to an account of the nursing staff according to an analysis result, and comprises the following steps:
The information distribution module is provided with an information statistics unit and an information distribution unit;
The information statistics unit is used for counting the workload of relevant nursing staff in each department, corresponding liability nurses and duty nurses, acquiring corresponding patient information, analyzing and processing the patient information through the intelligent analysis model, acquiring importance data of corresponding patients, setting corresponding weight coefficients, multiplying the corresponding weight coefficients by the importance data of each patient, adding the obtained products, and recording the obtained sum as task data of the corresponding nurses;
The information distribution unit acquires task data of each nurse in the corresponding department, inputs patient information of a corresponding patient into the intelligent analysis model for analysis and processing, acquires importance data of the corresponding patient, and distributes the corresponding patient into a corresponding nurse account according to the relation between the importance data and the task data of each nurse;
the information acquisition module is used for nursing equipment and medical personnel to acquire patient medical record information, and uploads the acquired patient medical record information to the information analysis module, and the information analysis module comprises:
The information acquisition module is provided with an equipment acquisition unit and a medical care acquisition unit;
Each medical device is included in the device acquisition unit, the corresponding medical device is associated with the corresponding patient, and device medical data in the corresponding patient medical device are acquired;
The medical care acquisition unit is used for nurses to acquire other medical information of corresponding patients; the other medical information is voice data obtained by a nurse through communication with a patient;
Acquiring marking time according to the acquired equipment medical data and other medical information, marking the equipment medical data and other medical information as patient medical record information, and uploading the patient medical record information to an information analysis module;
the information analysis module is used for acquiring patient medical record information, analyzing and processing the patient medical record information through an intelligent semantic algorithm, extracting patient characteristic data of the patient medical record information, setting medical record links according to the acquisition time, and uploading the medical record links to the patient history medical record information, and comprises the following steps:
The information analysis module is provided with a feature extraction unit; the characteristic extraction unit is used for acquiring equipment medical data and other medical information, respectively analyzing and processing the equipment medical data and other medical information, acquiring corresponding patient characteristic data and corresponding marking time in the equipment medical data and other medical information, generating a medical record link according to the obtained patient characteristic data and marking time, and uploading the generated medical record link to the history medical record information;
The information processing module is used for establishing an on-diagnosis patient feature library corresponding to medical staff, and checking the related medical staff according to the on-diagnosis patient feature library, and comprises the following steps:
The information processing module is provided with an information checking unit and an information processing unit;
The information assessment unit is used for acquiring the on-diagnosis patient corresponding to the corresponding medical staff, acquiring patient medical record information corresponding to the on-diagnosis patient, constructing an on-diagnosis patient feature library according to the on-diagnosis patient of the corresponding medical staff, setting a random number algorithm to acquire the patient medical record information in the on-diagnosis patient feature library, generating a random assessment test question according to the acquired patient medical record information, transmitting the random assessment test question to an account corresponding to the corresponding medical staff, replying by the corresponding medical staff, acquiring an assessment score, presetting an assessment standard interval, and judging whether the patient is qualified according to the relation between the assessment score and the assessment standard interval;
the information processing unit is used for acquiring the assessment results corresponding to the medical staff, and grading the work of the medical staff according to the assessment results.
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