CN114822786A - Method for establishing underlying data model based on medical Internet of things data - Google Patents
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- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
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Abstract
The invention provides a method for establishing a bottom layer data model based on medical Internet of things data, and relates to the technical field of medical Internet of things. The method for establishing the underlying data model based on the medical Internet of things data comprises the steps of analyzing the field of the clinical equipment parameter item, forming a clinical equipment data item parameter table, analyzing the content of the clinical equipment parameter item data, constructing a Chinese symbolic system concept set of the clinical equipment data item, constructing a clinical equipment output parameter concept mapping table and the like. Based on the method and the medical Internet of things bottom layer data model constructed by the method, the medical artificial intelligence research and development efficiency can be improved in multiples, clinical medical service digital twins can be generated into the medical Internet of things by upstream and downstream of the industrial chain in the field of medical Internet of things and medical institutions, and medical workers can develop real world research in the digital model.
Description
Technical Field
The invention relates to the technical field of medical internet of things, in particular to a method for establishing a bottom layer data model based on medical internet of things data.
Background
The medical internet of things is connected with a plurality of clinical devices such as a monitor, a defibrillation monitor, a breathing machine, an infusion pump, a blood coagulation analyzer, a urine analyzer, a biochemical immunoassay analyzer, a blood analyzer, bedside ultrasound, mobile DR, DSA, a hemofilter, CRRT and the like, the clinical devices generate 7GB data daily, the data are generated and transmitted in an original disordered state, and no mapping relation or persistent storage is formed between the data and clinical related information.
At present, the information architecture in the field of medical Internet of things lacks artificial intelligence-oriented prospective design and lacks a universal medical Internet of things data model, and phenomena of 'data island' and 'data disorder state' generally exist, so that effective achievements cannot be obtained in clinical scientific research and medical artificial intelligence work.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for establishing a bottom layer data model based on medical Internet of things data, and solves the problems of data isolated island and data unordered state caused by the lack of artificial intelligence-oriented prospective design and the lack of a universal medical Internet of things data model in the field of the current medical Internet of things.
In order to achieve the purpose, the invention is realized by the following technical scheme: the method for establishing the bottom layer data model based on the medical Internet of things data comprises the following steps:
s1, analyzing and forming the parameter list of the clinical equipment data item in the field of the clinical equipment parameter item
Performing exhaustive analysis on the clinical equipment parameter items according to aspects such as the service field, the application field, the function field, the scene field and the like;
s2, analyzing the data content of the clinical equipment parameter item
Performing exhaustive analysis on the clinical equipment parameter items in the step S1, and simultaneously performing data analysis on the expression formats of the data in the clinical equipment parameter items synchronously to obtain the data formats of the data in the clinical equipment parameter items;
s3, constructing a Chinese symbology concept set of the clinical equipment data item;
s4, constructing a concept mapping table of output parameters of clinical equipment
The clinical equipment generation parameter items have expression diversity, the same essential information has different expression methods, and the medical Internet of things data atomic characteristics and the bottom interoperability thereof realize that different expression modes and atomic concepts need to form a mapping relation;
s5, analyzing the clinical equipment business field and constructing a medical Internet of things field model
The medical internet of things is composed of the atomic concepts, the relationships among the atomic concepts, the connotation and the extension of the atomic concepts and the data content carried by the atomic concepts of the medical internet of things, the medical internet of things is constructed by field analysis and modeling which need to depend on the atomic data items and the internal relationships of the fields where the atomic concepts are located, the field analysis can ensure that the data of the medical internet of things do not exist independently any more, but the data of the medical internet of things is fused into a wider medical real world, so that the data of the medical internet of things and clinical relevant information form a mapping relationship and a theoretical basis of persistent storage, and a medical internet of things field model is constructed based on the combined action of the field analysis results and the steps S1, S2, S3 and S4;
s6 construction of medical Internet of things bottom layer data model
Based on a medical internet of things field model and steps S1, S2, S3, S4 and S5, a complete interoperation data model, namely a medical internet of things bottom layer data model, which integrates medical internet of things information and clinical business field information and can be shared from the bottom layer is formed through processes of atomic concept information label definition, atomic coding system definition, atomic value domain definition, information engineering design and the like.
Preferably, the specific implementation manner of step S3 is: and analyzing the symbol system and the concept interoperation capability in the field of Chinese symbol systems, and constructing a Chinese symbol system concept set of the clinical equipment data items.
Preferably, the symbol system is an aggregate of symbol elements and their interrelationships, and the symbol system includes a linguistic symbol system and a non-linguistic symbol system.
The invention provides a method for establishing a bottom layer data model based on medical Internet of things data. The method has the following beneficial effects:
1. based on the method, clinical medical service can be digitally twinned into the medical internet of things by upstream and downstream of an industrial chain in the field of medical internet of things and medical institutions, and medical workers can develop real-world research in a digital model.
2. The medical internet of things bottom layer data model constructed based on the method can enable the medical internet of things data to be changed from an unordered state to an ordered state with bottom interoperability, and can support clinical multi-center research, retrospective research and prospective research from an atomic concept hierarchy.
3. Based on the method and the medical Internet of things bottom layer data model constructed by the method, the research and development efficiency of medical artificial intelligence can be improved by times.
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FIG. 1 is a flow chart of the present invention;
fig. 2 is a schematic diagram of a model sample in the field of medical internet of things.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
as shown in fig. 1-2, an embodiment of the present invention provides a method for building an underlying data model based on medical internet of things data, including the following steps:
s1, analyzing and forming the parameter list of the clinical equipment data item in the field of the clinical equipment parameter item
The clinical equipment parameter items are subjected to exhaustive analysis according to aspects such as service fields, application fields, function fields, scene fields and the like, and the equipment data access mode includes but is not limited to: techniques such as non-inductive access, edge computing gateway, streaming data, etc., device data item parameters include but are not limited to: the data item parameter summary table of various clinical devices, which is prepared in detail through contents such as data obtained by observing patients by devices, device operation parameters, device environment parameters, device setting parameters, device spatial positions, device management information, device factory information, specifications, part information and the like, is shown as the following table:
| name of parameter item | Domain equipment |
| AWRR | Monitor |
| BIS | Monitor |
| BIS1 | Monitor |
| BSR | Monitor |
| CO | Monitor |
| CO2 | Monitor |
| Tvi | Monitor |
| ECGI | Monitor |
| ECGII | Monitor |
| ECGIII | Monitor |
| ECGAVR | Monitor |
| ECGAVL | Monitor |
| AplntSet | Breathing machine |
| ApPFSet | Breathing machine |
| ApRRSet | Breathing machine |
| ApTvSet | Breathing machine |
| Volume | Breathing machine |
| Conductivity | Dialysis machine |
| DBP | Dialysis machine |
| DC | Dialysis machine |
| DF | Dialysis machine |
S2, analyzing the data content of the clinical equipment parameter item
While performing exhaustive analysis on the clinical device parameter items in the step S1, performing data analysis on expression formats of data in the clinical device parameter items synchronously to obtain data formats of data in the clinical device parameter items, such as data types, value lengths, enumeration ranges, and the like of the parameter items, and enriching contents of a table in S1, which is a table example of bed device data item parameter tables with parameter item types, as shown in the following table:
s3, constructing Chinese symbol system concept set of clinical equipment data items
The symbolic system is an aggregate formed by symbolic elements and mutual relations thereof, the symbolic system comprises a language symbolic system and a non-language symbolic system, clinical equipment application has globality, data items of the symbolic system have cross-language characteristics, and in order to guarantee the bottom interoperability of subsequent data and the atomic characteristics of data of medical internet of things, the concept interoperation capacity of generated parameter items of the symbolic system in the Chinese field needs to be established, so based on the analysis of the first two steps, a Chinese symbolic system concept set of the clinical equipment data items is established, and the concept set carries out detailed definition on concept identifiers, concept names, concept connotation definitions, data types of concept values, concept value representation formats, concept permission coding systems, value fields of the concept identifiers, common names of concepts and other concepts, and the specific definition is shown in the following table:
s4, constructing a concept mapping table of output parameters of clinical equipment
The clinical equipment generation parameter items have expression diversity, the same essential information has different expression methods, the medical internet of things data atomic characteristics and the bottom interoperability thereof realize that different expression modes and atomic concepts need to form a mapping relation, and a clinical equipment output parameter concept mapping table shown in the following table is constructed:
s5, analyzing the clinical equipment business field and constructing a medical Internet of things field model
The medical internet of things is composed of the atomic concepts, the relationships among the atomic concepts, the connotation and the extension of the atomic concepts and the data content carried by the atomic concepts of the medical internet of things, the medical internet of things is constructed by field analysis and modeling which need to depend on the atomic data items and the internal relationships of the fields where the atomic concepts are located, the field analysis can ensure that the data of the medical internet of things do not exist independently any more, but are fused into a wider medical real world, and is a theoretical basis that the data of the medical internet of things and clinical relevant information form a mapping relationship and are stored persistently, and a medical internet of things field model is constructed based on the combined action of the field analysis results and the steps S1, S2, S3 and S4, wherein the related fields of the medical internet of things include but are not limited to: basic information of a patient, current visit information of the patient, visit information, relevant information of practitioners participating in medical behaviors, relevant information of a medical structure, equipment information of a medical internet of things, relevant information generated by observing the patient through equipment, relevant information of equipment observation activities, equipment management information, spatial position and environment information of all real world physical entities and transmission information content of the medical internet of things are shown in fig. 2;
s6 construction of medical Internet of things bottom layer data model
Based on a medical internet of things field model and steps S1, S2, S3, S4 and S5, a fully interoperating data model, namely a medical internet of things bottom layer data model, is formed by integrating medical internet of things information and clinical business field information and being shared from the bottom layer through processes such as atomic concept information label definition, atomic coding system definition, atomic value domain definition, information engineering design and the like, wherein the data model comprises: the internal unique number of each piece of medical internet-of-things data information, the version number of the information when the service for generating the information is triggered, the updating time and the unique number when the information is stored as a persistence, the state of the information and the state and type of the service expressed by the information, which one or a plurality of clusters of atomic concepts of the medical internet-of-things are carried by the information and expressed, which service system or clinical equipment of which version number developed by which manufacturer and used by which management department of which medical institution generates the information, which patient is the information, which bed position is arranged by which patient through which visit activity of which department, at what time and at what spatial position the clinical equipment is used, and the digital information generated by the observation, and the data model also comprises the observation action process, data relevant to clinical devices, such as: the system comprises an initial sampling value, a sampling information period, a sampling information sending time interval, a sampling value coefficient, a sampling data upper limit, a sampling data lower limit, the number of sampling information sending values, detailed contents of the sampling information values, a space position where equipment is located, environmental information, contents of equipment parts and specifications, an equipment management department and other information, and specifically comprises the following steps:
the method comprises the following steps of constructing a bottom data model of medical Internet of things data, forming a medical Internet of things data bottom data model which is fully fused, ordered, interoperated, general and oriented to artificial intelligence research and covers information such as medical instruments, patient information, vital signs, clinical manifestations, relevant examinations, Chinese and western medicine fusion data and the like when original data are recombined, effectively solving the problems of data objectivity, accuracy, integrity and the like required by real world data acquisition based on sensing Internet of things, medical equipment Internet of things and human-computer interaction Internet of things, process data, behavior data and final data, greatly improving data application value, and becoming the most important technical means and data sources for real world research data acquisition, wherein a human-computer system comprises but is not limited to: data generated by software interaction, robot interaction, human interaction with medical equipment.
The specific implementation manner of the step S3 is as follows: and analyzing the symbol system and the concept interoperation capability in the field of Chinese symbol systems, and constructing a Chinese symbol system concept set of the clinical equipment data items.
The symbol system is an aggregate of symbol elements and their interrelationships, and includes a linguistic symbol system and a non-linguistic symbol system.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (3)
1. The method for establishing the bottom layer data model based on the medical Internet of things data comprises the following steps, and is characterized in that:
s1, analyzing and forming the parameter list of the clinical equipment data item in the field of the clinical equipment parameter item
Performing exhaustive analysis on the clinical equipment parameter items according to aspects such as the service field, the application field, the function field, the scene field and the like;
s2, analyzing the data content of the clinical equipment parameter item
Performing exhaustive analysis on the clinical equipment parameter items in the step S1, and simultaneously performing data analysis on the expression formats of the data in the clinical equipment parameter items synchronously to obtain the data formats of the data in the clinical equipment parameter items;
s3, constructing a Chinese symbology concept set of the clinical equipment data item;
s4, constructing a concept mapping table of output parameters of clinical equipment
The clinical equipment generation parameter items have expression diversity, the same essential information has different expression methods, and the medical Internet of things data atomic characteristics and the bottom interoperability thereof realize that different expression modes and atomic concepts need to form a mapping relation;
s5, analyzing the clinical equipment business field and constructing a medical Internet of things field model
The medical internet of things is composed of the atomic concepts, the relationships among the atomic concepts, the connotation and the extension of the atomic concepts and the data content carried by the atomic concepts of the medical internet of things, the medical internet of things is constructed by field analysis and modeling which need to depend on the atomic data items and the internal relationships of the fields where the atomic concepts are located, the field analysis can ensure that the data of the medical internet of things do not exist independently any more, but the data of the medical internet of things is fused into a wider medical real world, so that the data of the medical internet of things and clinical relevant information form a mapping relationship and a theoretical basis of persistent storage, and a medical internet of things field model is constructed based on the combined action of the field analysis results and the steps S1, S2, S3 and S4;
s6 construction of medical Internet of things bottom layer data model
Based on a medical internet of things field model and steps S1, S2, S3, S4 and S5, a complete interoperation data model, namely a medical internet of things bottom layer data model, which integrates medical internet of things information and clinical business field information and can be shared from the bottom layer is formed through processes of atomic concept information label definition, atomic coding system definition, atomic value domain definition, information engineering design and the like.
2. The method for underlying data model building based on medical internet of things data as claimed in claim 1, wherein: the specific implementation manner of the step S3 is as follows: and analyzing the symbol system and the concept interoperation capability in the field of Chinese symbol systems, and constructing a Chinese symbol system concept set of the clinical equipment data items.
3. The method for underlying data model building based on medical internet of things data as claimed in claim 2, wherein: the symbol system is an aggregate of symbol elements and their interrelationships, and includes a linguistic symbol system and a non-linguistic symbol system.
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Citations (3)
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|---|---|---|---|---|
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| CN106250382A (en) * | 2016-01-28 | 2016-12-21 | 新博卓畅技术（北京）有限公司 | A kind of metadata management automotive engine system and implementation method |
| CN113223678A (en) * | 2021-03-19 | 2021-08-06 | 中国信息通信研究院 | Medical material guarantee scheduling system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20100086404A (en) * | 2009-01-22 | 2010-07-30 | 서울대학교산학협력단 | Clinical contents structure and the clinical contents modeling method |
| CN106250382A (en) * | 2016-01-28 | 2016-12-21 | 新博卓畅技术（北京）有限公司 | A kind of metadata management automotive engine system and implementation method |
| CN113223678A (en) * | 2021-03-19 | 2021-08-06 | 中国信息通信研究院 | Medical material guarantee scheduling system |
Non-Patent Citations (1)
| Title |
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| 叶荔姗;李灵;许志坚;徐秋实;刘辉;王婧;: "区域医疗物联网监管平台总体规划与设计", 中国数字医学, no. 11, 15 November 2018 (2018-11-15) * |
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