Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Knowledge-based electronic medical record quality control method

A technology of electronic medical records and quality control methods, applied in the field of knowledge-based quality control of electronic medical records, can solve the problems of failing to meet the needs of the intelligent medical market and the application of artificial intelligence technology, and achieve reduced labor costs, strong error correction and inspection functions, The effect of fine-grained data

Active Publication Date: 2017-05-17
江西中科九峰智慧医疗科技有限公司
View PDF6 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the current medical environment, the main method of quality control of electronic medical records is manual inspection, and computers only play the role of auxiliary identification and storage, and the emerging artificial intelligence technology is not used in it, which cannot meet the needs of the smart medical market.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Knowledge-based electronic medical record quality control method
  • Knowledge-based electronic medical record quality control method
  • Knowledge-based electronic medical record quality control method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific illustrations. However, those skilled in the art can easily understand that the content described in the examples is only for illustrating the present invention, and should not and will not limit the present invention described in the claims.

[0024] In this example, while retaining the advantages of the existing structure, it combines computer technology, big data analysis technology and software integration technology to realize a quality control method for electronic medical records that is different from the traditional implementation. see figure 2 , which is a schematic diagram of the electronic medical record quality control method provided in this example. Depend on figure 2 It can be seen that the knowledge-based electronic medical record quality co...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a knowledge-based electronic medical record quality control method. The method includes: by a closed loop type design structure, designing and making quality control semantic judgment rules and inputting time limit rules in an initial stage; allowing middle-stage data to enter a mobile terminal taking Raspberry Pi as a key design, wherein an analysis module combined with the NLP (natural language processing) natural language learning technology is embedded in the terminal; after quality control is finished, uploading synchronous data to a data center for storage and management; by the data center, acquiring common templates in medical record data by means of big data analysis, establishing an error correction knowledge base, and designing and constructing a database and an integrated environment to realize data sharing with internal modules of an error detection quality control terminal. By adoption of the knowledge-based electronic medical record quality control method, data of the data center are sampled and inspected regularly to further guarantee data correctness. Therefore, error detection, integration and analysis of structural medical record data can be realized, mass data and artificial intelligence processing technologies under an intelligent medical environment are utilized completely, medical record quality control cost is reduced, construction of the error correction knowledge base is realized, and quality control algorithm and rule quality is improved.

Description

technical field [0001] The invention relates to the field of electronic medical record quality control, in particular to a knowledge-based electronic medical record quality control method. Background technique [0002] Medical records objectively reflect the whole process of the occurrence, development and outcome of a patient's condition. They are not only the basic data for medical treatment, teaching, scientific research and health care, but also the factual basis for resolving medical disputes and judging legal responsibilities. The quality of medical records directly or indirectly reflects the quality of medical care. With the development of medical technology, the medical system has an increasing demand for well-structured and easily retrieved patient data, and EMR (Electronic Medical Record) has emerged as the times require. The electronic medical record is not simply the electronic storage of medical records. It is essentially an important part of the informatizatio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16H10/60
Inventor 吴文辉阮梦宇冯芳张莉
Owner 江西中科九峰智慧医疗科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products