Intelligent medical instrument knowledge base construction method and system based on big data resources

Abstract

The invention relates to the field of intelligent medical instruments, in particular to an intelligent medical instrument knowledge base construction method and system based on big data resources. The method comprises the following steps: obtaining electronic medical record data and medical instrument data of a hospital information platform, and obtaining medical record instrument key data; according to the medical record instrument key data, constructing a medical instrument use map; constructing a department instrument interaction group model and a medical instrument set according to the medical record instrument key data; constructing a medical instrument knowledge base according to the medical instrument set and the medical instrument use map; updating the medical instrument knowledge base, obtaining updated medical record data and updated instrument data, and obtaining an updating signal; and updating the medical instrument knowledge base again through the updating signal and the hospital information platform to obtain a dynamic medical instrument knowledge base. The timeliness and accuracy of the intelligent medical instrument knowledge base can be improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent medical devices, and in particular to a method and system for constructing an intelligent medical device knowledge base based on big data resources. Background Art

[0002] Modern medical institutions are increasingly dependent on various types of medical devices. There are many types of equipment (such as various imaging devices, wearable health sensors, in vitro diagnostic instruments, etc.), and the full life cycle management involves multiple links such as procurement, use, maintenance, and scrapping.

[0003] A Chinese invention patent, published with publication number CN116049326B, discloses a medical device knowledge base construction method, electronic device, and storage medium. The method includes: constructing an ER model based on a first operation behavior of a first entity; triggering a second operation behavior of the first entity in response to an event corresponding to a second entity based on the level of the event and the relationship between the first and second entities; and updating the ER model based on the second operation behavior. This embodiment of the present invention constructs the relationship type between the first and second entities in the ER model based on the first operation behavior of the first entity, and then determines whether to send the event corresponding to the second entity to the first entity based on the event level and a corresponding push mechanism, thereby improving the user experience, increasing the stickiness between users and the platform, and maximizing revenue.

[0004] However, during the construction of the smart medical device knowledge base, the timeliness of the smart medical device knowledge base is low, which affects the accuracy of the use of smart medical devices, thereby reducing clinical trust and medical efficiency. Summary of the Invention

[0005] The purpose of the present invention is to address the problems existing in the background technology and propose a method for constructing an intelligent medical device knowledge base based on big data resources.

[0006] The technical solution of the present invention is a method for constructing an intelligent medical device knowledge base based on big data resources, comprising the following steps:

[0007] S1. Obtain electronic medical record data and medical device data from the hospital information platform, analyze the electronic medical record data, and obtain key data on medical record devices; based on the key data on medical record devices, construct a medical device usage map;

[0008] S2. Analyze key medical record device data, build a department device interaction group model, and obtain a medical device collection based on the department device interaction group model; build a medical device knowledge base based on the medical device collection and medical device usage map;

[0009] S3. Update the medical device knowledge base using medical device data, obtain updated medical record data and updated device data, analyze the medical device collection using the updated medical record data and updated device data, and obtain disease update values, device dynamic values, device comprehensive dynamic values, and update signals;

[0010] S4. By updating the signal and the hospital information platform, the medical device knowledge base is updated again to obtain a dynamic medical device knowledge base.

[0011] Preferably, the electronic medical record data and medical device data of the hospital information platform are obtained, the electronic medical record data are analyzed, and the key data of medical record devices are obtained; and the process of constructing a medical device usage map based on the key data of medical record devices includes:

[0012] Electronic medical record data includes clinical diagnosis and treatment data and examination and testing data; medical device data includes basic information, operation logs, and device output data. Using medical terminology mapping technology, electronic medical record data and medical device data are analyzed to obtain the mapping relationship between electronic medical record key data, medical device key data, and medical record device. The mapping relationship between electronic medical record key data, medical device key data, and medical record device is recorded as medical record device key data.

[0013] Analyze the key data of medical records and equipment to obtain department nodes, medical equipment nodes and department equipment interaction relationships; through big data mining methods, obtain department association relationships and equipment association relationships based on electronic medical record data and medical equipment data; obtain a medical equipment usage map based on department association relationships, department nodes, equipment association relationships, medical equipment nodes and department equipment interaction relationships.

[0014] Preferably, the process of analyzing the key data of medical record instruments, constructing a department instrument interaction group model, and obtaining a medical instrument set based on the department instrument interaction group model includes:

[0015] By using knowledge extraction methods, key medical record device data is analyzed to extract disease inspection events and device inspection events; disease inspection events include disease summaries, inspection items, and disease inspection relationships; device inspection events include inspection devices and inspection relationships between devices;

[0016] Disease inspection events and device inspection events are analyzed. Through medical relationship extraction technology, the inspection and use relationship between corresponding medical device nodes is constructed based on the inspection relationship between devices. The disease inspection relationship between medical device nodes and department nodes is constructed based on the disease inspection relationship. The medical inspection order of medical device nodes and the total number of medical device nodes with the same inspection and use relationship are obtained, and a department device interaction model is constructed. Based on the department device interaction model of the medical device node, the department device interaction group model is obtained. Based on the medical device interaction model, the medical device set of the medical device node is obtained.

[0017] Preferably, the process of constructing a medical device knowledge base based on the medical device collection and the medical device usage map is as follows:

[0018] According to the medical device collection, examination and use relationship and pathological examination relationship, a diagnosis and treatment link is constructed between the department node and the medical device node. According to the diagnosis and treatment link, department node and medical device node, a medical device knowledge base is obtained.

[0019] Preferably, the process of updating the medical device knowledge base through medical device data, obtaining updated medical record data and updated device data, analyzing the medical device set through the updated medical record data and updated device data, and obtaining the disease update value, device dynamic value, device comprehensive dynamic value and update signal includes:

[0020] The medical device knowledge base is updated through medical device data. The update process involves real-time data update monitoring of the electronic medical record data and medical device data on the hospital information platform, obtaining updated medical record data and updated device data, and inserting update tags into the updated department nodes and medical device nodes. The medical device collection is analyzed through updated medical record data and updated device data to obtain the department device interaction update model, code "a", and code "b".

[0021] If the update tag exists in both the department node and the medical device node, obtain the disease update value; set the disease update threshold; when the disease update value is greater than or equal to the disease update threshold, generate update signal 1;

[0022] If update labels do not exist in both the department node and the medical device node, obtain the device change value one, device change value two, or device change value three based on the number of "a" codes and the number of "b" codes in the department device interaction update model; analyze the device change value one, device change value two, or device change value three.

[0023] Preferably, the process of analyzing the first device change value, the second device change value, or the third device change value includes:

[0024] Setting an instrument dynamic threshold, instrument weight 1, instrument weight 2, and instrument weight 3; obtaining instrument dynamic value 1, instrument dynamic value 2, and instrument dynamic value 3 based on instrument weight 1 and instrument change value 1, instrument weight 2 and instrument change value 2, and instrument weight 3 and instrument change value 3; generating update signal 2 if the maximum value among instrument dynamic value 1, instrument dynamic value 2, and instrument dynamic value 3 is greater than or equal to the instrument change threshold;

[0025] If the maximum value among the device dynamic value one, the device dynamic value two and the device dynamic value three is less than the device change threshold, the device comprehensive dynamic value is obtained according to the device change value one, the device change value two, the device change value, the device weight one, the device weight two and the device weight three; if the device comprehensive dynamic value is greater than or equal to the device dynamic threshold, an update signal three is generated; if the device comprehensive dynamic value is less than the device dynamic threshold, an update signal four is generated.

[0026] Preferably, the process of updating the medical device knowledge base again by updating the signal and the hospital information platform to obtain a dynamic medical device knowledge base includes:

[0027] When update signal one is received, the corresponding medical device nodes and department nodes are updated; when update signal two is received, the corresponding medical device nodes are updated; when update signal three is received, it is marked as valid pending device use; when update signal four is received, it is marked as a device misoperation record; through the hospital information platform, a library update channel is established between the medical device knowledge base and the hospital information platform, and a dynamic medical device knowledge base is constructed based on the library update channel.

[0028] The present invention also discloses a system for constructing an intelligent medical device knowledge base based on big data resources, including a management center, wherein the management center is communicatively connected to a data acquisition module, a library construction module, a library analysis module, and a library update module:

[0029] The data acquisition module is used to obtain electronic medical record data and medical device data from the hospital information platform, analyze the electronic medical record data, and obtain key data of medical record devices; based on the key data of medical record devices, a medical device usage map is constructed;

[0030] The library construction module is used to analyze the key data of medical record instruments, build a department instrument interaction group model, and obtain a medical instrument set based on the department instrument interaction group model; based on the medical instrument set and medical instrument usage map, build a medical instrument knowledge base;

[0031] The library analysis module is used to update the medical device knowledge base through medical device data, obtain updated medical record data and updated device data, analyze the medical device collection through updated medical record data and updated device data, and obtain disease update values, device dynamic values, device comprehensive dynamic values ​​and update signals;

[0032] The library update module is used to update the medical device knowledge base again through update signals and hospital information platforms to obtain a dynamic medical device knowledge base.

[0033] Compared with the existing technology, the above technical solution of the present invention has the following beneficial technical effects: constructing a medical device usage map to realize the queryability of knowledge between medical devices and departments, and improving the integrity of the medical device knowledge system; through the department device interaction group model and medical device collection; constructing a medical device knowledge base to realize the traceability and reasonability of the medical device knowledge base, and improve the correlation and interactivity between medical devices and departments; analyzing the medical device collection by updating medical record data and updating device data to obtain disease update values, device dynamic values, device comprehensive dynamic values ​​and update signals; improving the timeliness and accuracy of the intelligent medical device knowledge base, and through the dynamic medical device knowledge base, supporting dynamic knowledge updates and intelligent expansion, which helps to improve clinical trust and medical efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 The present invention is a flowchart of an embodiment of the present invention. DETAILED DESCRIPTION

[0035] Example 1, as Figure 1 As shown, the present invention proposes a method for constructing an intelligent medical device knowledge base based on big data resources, comprising the following steps:

[0036] S1. Obtain electronic medical record data and medical device data from the hospital information platform, analyze the electronic medical record data, and obtain key data on medical record devices; based on the key data on medical record devices, construct a medical device usage map;

[0037] S2. Analyze key medical record device data, build a department device interaction group model, and obtain a medical device collection based on the department device interaction group model; build a medical device knowledge base based on the medical device collection and medical device usage map;

[0038] S3. Update the medical device knowledge base using medical device data, obtain updated medical record data and updated device data, analyze the medical device collection using the updated medical record data and updated device data, and obtain disease update values, device dynamic values, device comprehensive dynamic values, and update signals;

[0039] S4. By updating the signal and the hospital information platform, the medical device knowledge base is updated again to obtain a dynamic medical device knowledge base.

[0040] It should be further explained that, in the specific implementation process, the electronic medical record data and medical device data of the hospital information platform are obtained, the electronic medical record data are analyzed, and the key data of medical record devices are obtained; based on the key data of medical record devices, the process of constructing the medical device usage map is as follows:

[0041] The hospital information platform refers to a unified information system platform for clinical, management, scientific research and other work, which is used to record and manage various types of data within the hospital;

[0042] The electronic medical record data includes clinical diagnosis and treatment data and examination and testing data; the clinical diagnosis and treatment data includes diagnosis and treatment departments, diagnosis results and operation record data; the operation record data includes operation name and surgical instrument data; the examination and testing data includes medical examination data and test results;

[0043] The medical device data includes basic information, operation logs and device output data;

[0044] By using medical terminology mapping technology, electronic medical record data and medical device data are analyzed to obtain electronic medical record key data, medical device key data, and a mapping relationship between medical record devices; the electronic medical record key data, medical device key data, and the mapping relationship between medical record devices are recorded as medical record device key data; the electronic medical record key data refers to the terminology of clinical diagnosis and treatment data, nursing data, and examination and testing data; the medical device key data refers to the terminology of basic information, operation logs, and device output data;

[0045] Analyze key data of medical records and equipment to obtain department nodes, medical equipment nodes, and department-equipment interaction relationships;

[0046] It should be further explained that, in the specific implementation process, the specific process of analyzing the key data of medical record instruments is as follows: through the key data of electronic medical records, the diagnosis department terms, diagnostic terms and surgical names of the clinical diagnosis and treatment data are obtained, recorded as the diagnosis department name, diagnosed disease and surgical name, and all the diagnosed diseases and surgical names corresponding to the diagnosis and treatment department are counted, and the department node is constructed, the diagnosis department name is marked on the department node, and all the diagnosed diseases and surgical names corresponding to the diagnosis and treatment department are stored in the corresponding department node; through the key data of medical devices, basic information terms and operation log terms are obtained, recorded as the medical device name and device use, and all the device uses corresponding to the medical device are counted, and a medical device node is constructed, the medical device name is marked on the medical device node, and all the device uses corresponding to the medical device are stored in the corresponding medical device node; through the mapping relationship between medical records and instruments, the diagnostic diseases in the department node and the device uses in the medical device node are analyzed, and the department and device interaction relationship between the department node and the medical device node is constructed;

[0047] Through big data mining methods, the electronic medical record data and medical device data of the hospital information platform are analyzed to obtain the correlation between diagnosis and treatment departments and the correlation between medical devices, which are recorded as department correlation and device correlation. Through the department correlation, the department nodes are correlated, and through the device correlation, the medical device nodes are correlated. And through the department-device interaction relationship, the department nodes and medical device nodes are linked to obtain a medical device usage map.

[0048] It should be further explained that, during the specific implementation process, the key data of medical record instruments are analyzed to build a department instrument interaction group model. Based on the department instrument interaction group model, a medical instrument set is obtained. Based on the medical instrument set and the medical instrument usage map, the process of building a medical instrument knowledge base is as follows:

[0049] By using a knowledge extraction method, the key data of medical instruments in the medical records are analyzed to extract disease examination events and instrument examination events; the disease examination events include disease summaries, examination items, and disease examination relationships; the disease summary refers to the name of the disease or the name of the operation; the instrument examination events include examination instruments and the relationship between examinations between instruments; the disease examination events refer to the events of examination items in the medical examination data for the operation name in the operation record data and the disease diagnosis result in the diagnosis result; the instrument examination relationship refers to the events between the surgical instruments in the surgical instrument data and between the medical instruments involved in the medical examination data;

[0050] Disease inspection events and device inspection events are analyzed. Through medical relationship extraction technology, the inspection items of disease inspection events are matched with the inspection devices of device inspection events, and the inspection items are stored in the corresponding medical device nodes. Through the inspection relationship between devices, the inspection use relationship between corresponding medical device nodes is constructed, and through the disease inspection relationship, the disease inspection relationship between medical device nodes and department nodes is constructed; the department nodes are numbered and recorded as i, where i = 1, 2, ..., m, m > 0 and m is an integer; the medical device nodes are numbered and recorded as j, where j = 1, 2, ..., n, n > 0 and n is an integer; the medical inspection order of the medical device nodes and the total number of medical device nodes with the same inspection use relationship are obtained, and a department device interaction model (department node number, medical device inspection order, total number of medical device nodes) is constructed. The department device interaction models of the medical device nodes are summarized, and the department device interaction models with the same department node number are summarized to obtain the department device interaction group model A. ji , and statistically organize the obtained medical device interaction models of the same medical device node to obtain the medical device set {A j1 ,A j2 ,……,A ji};

[0051] It should be further explained that, in the specific implementation process, the medical device set of the medical device node {A j1 ,A j2 ,……,A ji} refers to the participation of medical device nodes in examinations in different departments, and the medical device set {A j1 ,A j2 ,……,A ji The department nodes involved in the document may be some department nodes, not necessarily all department nodes;

[0052] Based on the medical device collection, examination and use relationship, and pathological examination relationship, a diagnosis and treatment link is constructed between the department node and the medical device node. The department node and the medical device node are linked through the diagnosis and treatment link, and the medical device collection is stored in the corresponding medical device node in the medical device usage map to obtain a medical device knowledge base.

[0053] It should be further explained that, in the specific implementation process, the medical device knowledge base is updated through medical device data, and updated medical record data and updated device data are obtained. The medical device set is analyzed through the updated medical record data and updated device data to obtain the disease update value, device dynamic value, device comprehensive dynamic value and update signal. The process is as follows:

[0054] The medical device knowledge base is updated through medical device data. The update process refers to real-time data update monitoring of the electronic medical record data and medical device data of the hospital information platform, obtaining updated medical record data and updated device data. If updated medical record data and updated device data are monitored, the department node of the medical device knowledge base is updated through the updated medical record data, and the medical device node of the medical device knowledge base is updated through the updated device data, and update tags are inserted into the updated department node and medical device node;

[0055] It should be further explained that, in the specific implementation process, during the update of the medical device knowledge base, the updated medical record data monitored refers to the relevant data of the updated clinical diagnosis and treatment data of the electronic medical record data, and the updated device data monitored specifically refers to the relevant data of the updated medical device model, and the data in the medical device node corresponding to the original medical device is synchronously updated to the updated medical device;

[0056] By analyzing the medical device set through updated medical record data and updated device data, a department device interaction update model (department node number, medical device inspection interaction order, total number of medical device node interactions) is obtained; if the medical device inspection interaction order in the department device interaction update model is an update order, then the update order code "a" is inserted after the medical device inspection interaction order; if the total number of medical device node interactions is an update total number, then the update total code "b" is inserted after the total number of medical device node interactions;

[0057] It should be further explained that, in the specific implementation process, the specific process of analyzing the medical device collection by updating medical record data and updating device data is the same as the specific process of building the department device interaction model;

[0058] If the department node corresponding to the department node number and the medical device node corresponding to the department device interaction update model both have update tags, then the total number of updates of the same department device interaction update model is counted and recorded as the disease update value; a disease update threshold is set; when the disease update value is greater than or equal to the disease update threshold, an update signal 1 is generated; when the disease update value is less than the disease update threshold, no update signal is generated;

[0059] If the department node corresponding to the department node number and the medical device node corresponding to the department device interaction update model do not all have update labels, the number of department device interaction update models that only have the same code number "a", only have the same code number "b", or have the same code number of "a" and "b" will be counted and recorded as device change value one, device change value two, or device change value three respectively;

[0060] Set the device dynamic threshold, device weight 1, device weight 2, and device weight 3; multiply device weight 1 by device change value 1, device weight 2 by device change value 2, and device weight 3 by device change value 3 to obtain device dynamic value 1, device dynamic value 2, and device dynamic value 3, respectively;

[0061] If the maximum value among the first device dynamic value, the second device dynamic value, and the third device dynamic value is greater than or equal to the device change threshold, an update signal 2 is generated;

[0062] If the maximum value among the device dynamic value 1, device dynamic value 2 and device dynamic value 3 is less than the device change threshold, the device comprehensive dynamic value B is obtained according to the device change value 1, device change value 2, device change value, device weight 1, device weight 2 and device weight 3. j ;

[0063] B j =α1*jx1+α2*jx2+α3*jx3;

[0064] If the device comprehensive dynamic value is greater than or equal to the device dynamic threshold, an update signal three is generated; if the device comprehensive dynamic value is less than the device dynamic threshold, an update signal four is generated;

[0065] It should be further explained that, in the specific implementation process, the device weight one, device weight two and device weight three are related to the average level of patient treatment effects corresponding to the department device interaction update model (department node number, medical device inspection interaction order, total number of medical device node interactions) under different coding conditions.

[0066] It should be further explained that, in the specific implementation process, the medical device knowledge base is updated again by updating the signal and the hospital information platform, and the process of obtaining a dynamic medical device knowledge base is as follows:

[0067] When the update signal 1 is received, the corresponding medical device nodes and department nodes are updated; when the update signal 2 is received, the corresponding medical device nodes are updated; when the update signal 3 is received, the corresponding medical device nodes are updated and marked as valid pending device use; when the update signal 4 is received, the corresponding medical device nodes are recorded and marked as device misoperation records;

[0068] It should be further explained that, in the specific implementation process, updating between medical device nodes specifically refers to updating the inspection and use relationship between the corresponding medical device nodes in the medical device knowledge base of the department device interaction update model corresponding to the update signal; updating the department node specifically refers to updating the pathological examination relationship between the department node and the medical device node; recording between the corresponding medical device nodes specifically refers to only recording the inspection and use relationship, and not updating between the medical device nodes;

[0069] Through the hospital information platform, a library update channel is established between the medical device knowledge base and the hospital information platform. Through the above steps and the library update channel, the medical device knowledge base is updated to build a dynamic medical device knowledge base.

[0070] In the second embodiment, a system for constructing an intelligent medical device knowledge base based on big data resources proposed in the present invention is applied to the method for constructing an intelligent medical device knowledge base based on big data resources described in the first embodiment, specifically including a management center, which is communicatively connected to a data acquisition module, a library construction module, a library analysis module, and a library update module:

[0071] The data acquisition module is used to obtain electronic medical record data and medical device data from the hospital information platform, analyze the electronic medical record data, and obtain key data of medical record devices; based on the key data of medical record devices, a medical device usage map is constructed;

[0072] The library construction module is used to analyze the key data of medical record instruments, build a department instrument interaction group model, and obtain a medical instrument set based on the department instrument interaction group model; based on the medical instrument set and medical instrument usage map, build a medical instrument knowledge base;

[0073] The library analysis module is used to update the medical device knowledge base through medical device data, obtain updated medical record data and updated device data, analyze the medical device collection through updated medical record data and updated device data, and obtain disease update values, device dynamic values, device comprehensive dynamic values ​​and update signals;

[0074] The library update module is used to update the medical device knowledge base again through update signals and hospital information platforms to obtain a dynamic medical device knowledge base.

[0075] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto. Various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention.

Claims

1. A method for constructing an intelligent medical device knowledge base based on big data resources, characterized in that: The following steps are involved: S1. Obtain electronic medical record data and medical device data from the hospital information platform, analyze the electronic medical record data, and obtain key data on medical record devices; based on the key data on medical record devices, construct a medical device usage map; S2. Analyze key medical record device data, build a department device interaction group model, and obtain a medical device collection based on the department device interaction group model; build a medical device knowledge base based on the medical device collection and medical device usage map; S3. Update the medical device knowledge base using medical device data, obtain updated medical record data and updated device data, analyze the medical device collection using the updated medical record data and updated device data, and obtain disease update values, device dynamic values, device comprehensive dynamic values, and update signals; S4. By updating the signal and the hospital information platform, the medical device knowledge base is updated again to obtain a dynamic medical device knowledge base.

2. The method for constructing an intelligent medical device knowledge base based on big data resources according to claim 1, characterized in that: Obtain electronic medical record data and medical device data from the hospital information platform, analyze the electronic medical record data, and obtain key data on medical record devices. The process of constructing a medical device usage map based on key data on medical record devices includes: Electronic medical record data includes clinical diagnosis and treatment data and examination and testing data; medical device data includes basic information, operation logs, and device output data. Using medical terminology mapping technology, electronic medical record data and medical device data are analyzed to obtain the mapping relationship between electronic medical record key data, medical device key data, and medical record device. The mapping relationship between electronic medical record key data, medical device key data, and medical record device is recorded as medical record device key data. Analyze the key data of medical records and equipment to obtain department nodes, medical equipment nodes and department equipment interaction relationships; through big data mining methods, obtain department association relationships and equipment association relationships based on electronic medical record data and medical equipment data; obtain a medical equipment usage map based on department association relationships, department nodes, equipment association relationships, medical equipment nodes and department equipment interaction relationships.

3. The method for constructing an intelligent medical device knowledge base based on big data resources according to claim 2, characterized in that: The process of analyzing key medical record device data, building a department device interaction group model, and obtaining a medical device collection based on the department device interaction group model includes: By using knowledge extraction methods, key medical record device data is analyzed to extract disease inspection events and device inspection events; disease inspection events include disease summaries, inspection items, and disease inspection relationships; device inspection events include inspection devices and inspection relationships between devices; Disease inspection events and device inspection events are analyzed. Through medical relationship extraction technology, the inspection and use relationship between corresponding medical device nodes is constructed based on the inspection relationship between devices. The disease inspection relationship between medical device nodes and department nodes is constructed based on the disease inspection relationship. The medical inspection order of medical device nodes and the total number of medical device nodes with the same inspection and use relationship are obtained, and a department device interaction model is constructed. Based on the department device interaction model of the medical device node, the department device interaction group model is obtained. Based on the medical device interaction model, the medical device set of the medical device node is obtained.

4. The method for constructing an intelligent medical device knowledge base based on big data resources according to claim 3, characterized in that: Based on the medical device collection and medical device usage map, the process of building a medical device knowledge base is as follows: According to the medical device collection, examination and use relationship and pathological examination relationship, a diagnosis and treatment link is constructed between the department node and the medical device node. According to the diagnosis and treatment link, department node and medical device node, a medical device knowledge base is obtained.

5. The method for constructing an intelligent medical device knowledge base based on big data resources according to claim 4, characterized in that: The process of updating the medical device knowledge base through medical device data, obtaining updated medical record data and updated device data, analyzing the medical device collection through the updated medical record data and updated device data, and obtaining disease update values, device dynamic values, device comprehensive dynamic values, and update signals includes: The medical device knowledge base is updated through medical device data. The update process involves real-time data update monitoring of the electronic medical record data and medical device data on the hospital information platform, obtaining updated medical record data and updated device data, and inserting update tags into the updated department nodes and medical device nodes. The medical device collection is analyzed through updated medical record data and updated device data to obtain the department device interaction update model, code "a", and code "b". If the update tag exists in both the department node and the medical device node, obtain the disease update value; set the disease update threshold; when the disease update value is greater than or equal to the disease update threshold, generate update signal 1; If update labels do not exist in both the department node and the medical device node, obtain device change value one, device change value two, or device change value three based on the number of "a" codes and the number of "b" codes in the department device interaction update model; analyze device change value one, device change value two, or device change value three.

6. The method for constructing an intelligent medical device knowledge base based on big data resources according to claim 5, characterized in that: The process for analyzing device change value one, device change value two, or device change value three includes: Setting an instrument dynamic threshold, instrument weight 1, instrument weight 2, and instrument weight 3; obtaining instrument dynamic value 1, instrument dynamic value 2, and instrument dynamic value 3 based on instrument weight 1 and instrument change value 1, instrument weight 2 and instrument change value 2, and instrument weight 3 and instrument change value 3; generating update signal 2 if the maximum value among instrument dynamic value 1, instrument dynamic value 2, and instrument dynamic value 3 is greater than or equal to the instrument change threshold; If the maximum value among the device dynamic value one, the device dynamic value two and the device dynamic value three is less than the device change threshold, the device comprehensive dynamic value is obtained according to the device change value one, the device change value two, the device change value, the device weight one, the device weight two and the device weight three; if the device comprehensive dynamic value is greater than or equal to the device dynamic threshold, an update signal three is generated; if the device comprehensive dynamic value is less than the device dynamic threshold, an update signal four is generated.

7. The method for constructing an intelligent medical device knowledge base based on big data resources according to claim 6, characterized in that: By updating the signal and the hospital information platform, the medical device knowledge base is updated again to obtain a dynamic medical device knowledge base. The process includes: When update signal one is received, the corresponding medical device nodes and department nodes are updated; when update signal two is received, the corresponding medical device nodes are updated; when update signal three is received, it is marked as valid pending device use; when update signal four is received, it is marked as a device misoperation record; through the hospital information platform, a library update channel is established between the medical device knowledge base and the hospital information platform, and a dynamic medical device knowledge base is constructed based on the library update channel.

8. A system for constructing an intelligent medical device knowledge base based on big data resources, specifically applied to a method for constructing an intelligent medical device knowledge base based on big data resources according to any one of claims 1 to 7, comprising a management center, characterized in that: The management center is connected to the data acquisition module, library construction module, library analysis module and library update module: The data acquisition module is used to obtain electronic medical record data and medical device data from the hospital information platform, analyze the electronic medical record data, and obtain key data of medical record devices; based on the key data of medical record devices, a medical device usage map is constructed; The library construction module is used to analyze the key data of medical record instruments, build a department instrument interaction group model, and obtain a medical instrument set based on the department instrument interaction group model; based on the medical instrument set and medical instrument usage map, a medical instrument knowledge base is built; The library analysis module is used to update the medical device knowledge base through medical device data, obtain updated medical record data and updated device data, analyze the medical device collection through updated medical record data and updated device data, and obtain disease update values, device dynamic values, device comprehensive dynamic values ​​and update signals; The library update module is used to update the medical device knowledge base again through update signals and hospital information platforms to obtain a dynamic medical device knowledge base.

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