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Can Existing Biomedical Ontologies Be More Useful for EHR and CDS? Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Formalization and Computation of Diabetes Quality Indicators with Patient Data from a Chinese Hospital

Authors : Haitong Liu, Annette ten Teije, Kathrin Dentler, Jingdong Ma, Shijing Zhang

Published in: Knowledge Representation for Health Care

Publisher: Springer International Publishing

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Abstract

Clinical quality indicators are tools to measure the quality of healthcare and can be classified into structure-related, process-related and outcome-related indicators. The objective of this study is to investigate whether Electronic Medical Record (EMR) data from a Chinese diabetes specialty hospital can be used for the automated computation of a set of 38 diabetes quality indicators, especially process-related indicators. The clinical quality indicator formalization (CLIF) method and tool and SNOMED CT were adopted to formalize diabetes indicators into executable queries. The formalized indicators were run on the patient data to test the feasibility of their automated computation. In this study, we successfully formalized and computed 32 of 38 quality indicators based on the EMR data. The results indicate that the data from our Chinese EMR can be used for the formalization and computation of most diabetes indicators, but that it can be improved to support the computation of more indicators.

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Footnotes
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Metadata
Title
Formalization and Computation of Diabetes Quality Indicators with Patient Data from a Chinese Hospital
Authors
Haitong Liu
Annette ten Teije
Kathrin Dentler
Jingdong Ma
Shijing Zhang
Copyright Year
2017
Book
Knowledge Representation for Health Care

Print ISBN: 978-3-319-55013-8

Electronic ISBN: 978-3-319-55014-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-55014-5_2

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