In-hospital infection early warning construction method based on hospital information system

A hospital information system and nosocomial infection technology, applied in medical informatics, informatics, epidemic warning system, etc., can solve the problem of low accuracy of nosocomial infection and achieve the effect of preventing outbreaks

Inactive Publication Date: 2018-12-21
THE SECOND AFFILIATED HOSPITAL OF NANJING MEDICAL UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a construction method of nosocomial infection early warning based on hospital information system, so as to solve the problem of low accuracy rate of nosocomial infection existing in the prior art

Method used

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  • In-hospital infection early warning construction method based on hospital information system
  • In-hospital infection early warning construction method based on hospital information system
  • In-hospital infection early warning construction method based on hospital information system

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Embodiment 1

[0068] The present invention will be described in further detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0069] Such as figure 1 As shown, it is a flow chart of the construction method of nosocomial infection early warning based on the hospital information system in this embodiment, which specifically includes the following steps:

[0070] Step 1, collect and organize the structured data and unstructured data required for infection according to the diagnostic criteria of nosocomial infection;

[0071] Step 2, perform word segmentation and part-of-speech tagging on the unstructured data in step 1, and obtain the medical record document set after word segmentation;

[0072] Step 3, performing natural language processing on the unstructured data after step 2 word segmentation and part-of-speech tagging;

[0073] Step 4, extracting information from the unstructured data after natural language processing in step 3 through ...

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Abstract

The invention discloses an in-hospital infection early warning construction method based on a hospital information system. According to hospital infection diagnosis standards, firstly, structured dataand unstructured data required for infection are collected and sorted; secondly, word segmentation and part-of-speech tagging of the unstructured data are performed to obtain a medical record document set after word segmentation; thirdly, the unstructured data after word segmentation and part-of-speech tagging is subjected to natural language processing; fourthly, the information is extracted through annotation rules of regular expressions and the machine learning technology to obtain the target data information; and lastly, the target data information and the structured data are constructedinto an in-hospital infection early warning data system. The method is advantaged in that the in-hospital infection early warning system including the structured data and the unstructured data is constructed in the hospital information system in the prior art, doctors can be assisted in in-hospital infection diagnosis, and the staff of the hospital-acquired infection control department is facilitated to check suspected medical records in time and confirm or eliminate them in the system.

Description

technical field [0001] The invention relates to the technical field of unstructured information extraction, in particular to an artificial intelligence processing method based on hospital information system-based hospital infection early warning construction. Background technique [0002] At present, nosocomial infection software in China can only process structured data. Unstructured text information is convenient for expressing concepts and events, and is the main recording form of clinical treatment process. The information on the patient's symptoms, treatment process and treatment effect is important clinical evidence. But because they are not completely structured data, they are not suitable for data query or statistics. Information extraction is the structural processing of the information contained in the text into a form of organization. [0003] Constructing unstructured data including symptoms from the existing hospital information system can truly improve the a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/80G06F17/27G06F17/30
CPCG16H50/80G06F40/253G06F40/289
Inventor 倪晓华周立英
Owner THE SECOND AFFILIATED HOSPITAL OF NANJING MEDICAL UNIV
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