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NLP-based electronic medical record data quality management method

An electronic medical record and data quality technology, applied in the field of electronic medical record data quality management, can solve problems such as low efficiency, inability to make full use of domain knowledge, consistency of quality assessment, generality, and poor reusability, etc., to improve quality, promote Diagnosis and treatment efficiency and service satisfaction, the effect of shortening cycle time

Pending Publication Date: 2018-08-24
灵玖中科软件(北京)有限公司
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Problems solved by technology

Therefore, the interference of personal emotional factors cannot be completely avoided, and the efficiency is low
The domain knowledge related to quality requirements cannot be fully utilized, and the consistency, versatility, and reusability of quality assessment are not good

Method used

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  • NLP-based electronic medical record data quality management method
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Embodiment Construction

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0034] Such as figure 1 As shown, the present invention discloses an electronic medical record data quality management method based on NLP, which integrates the electronic medical record operation and quality management operation in an intelligent manner, and converts the quality requirements of the electronic medical record into quality management knowledge. The matching of medical record ontology knowledge adopts the method of manual audit and intelligent au...

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Abstract

The invention discloses an NLP-based electronic medical record data quality management method. Electronic medical record operation and quality management operation are integrated in an intelligent mode, the quality requirements of the electronic medical record are converted to quality management knowledge, in match with electronic medical record ontology knowledge, a method of interaction operation of manual audit and intelligent audit is adopted, and quality check is carried out. The method particularly comprises the following steps of (1) preparation, (2) quality problem recognition, (3) quality problem evaluation, (4) quality problem monitoring and (5) quality report generation. Automatic and intelligent electronic medical record quality control is realized by introducing technologies such as an ontology and an NLP, the shortcomings of the existing manual quality audit are overcome, quality check is carried out on the electronic medical record in match with the ontology knowledge, the electronic medical record quality problem is thus found out, the efficiency is improved, and the generated result is more professional, accurate, objective, fair and just.

Description

technical field [0001] The present invention relates to the technical field of electronic medical record data quality management, and more specifically relates to an electronic medical record data quality management method based on ontology and NLP. Background technique [0002] Electronic medical records are fundamental data sources for health services, medical research, and more. Untimely, incomplete, and inaccurate medical record data will lead to untimely, incomplete, and incorrect medical or management decisions. The quality improvement of electronic medical records can promote both clinical business and health management. However, for a long time, the quality management of electronic medical records has lacked a systematic, automated, and intelligent mechanism. At present, the quality of medical record data is mainly through manual inspection by relevant departments of the hospital. The reliability and accuracy of manual inspection results largely depend on the profe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60G06F17/30
CPCG06F16/36G16H10/60
Inventor 曾飞魏凌云韩栋张哲军肖招娣章莹王思琪
Owner 灵玖中科软件(北京)有限公司
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