TID Based Gap Analysis for Efficient Clinical Documentation Development using Semantic Ontology

Authors

  • M. Sangeetha
  • Dr. M. Senthil Kumaran

Abstract

The problem of clinical document gap analysis has been well studied. There are numerous techniques identified which uses only the Meta data of the document. However, the methods produces higher false rate in gap analysis. To overcome the deficiency, this paper presents a Topical Informative Depth based gap analysis in clinical documentation. Instead of looking for completeness of all the fields of a topic, the TID measure represent the depth of information about any context can be used. The method reads the patient chart and records first. In the second stage, according to the category of the disease, the list of features, symptoms, diagnosis, test results are obtained from Meta data. The record has been verified for the presence of all the features considered. Based on the features identified, the method estimates the semantic coverage score, informatics coverage score. Using these two measures, a Topical Informative Depth measure for the document is estimated. According to the TID value, the completeness of the document has been verified. The method produces higher accuracy in clinical document gap analysis. 

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Published

2020-02-19

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Section

Articles