On accurate, automated and insightful deviation analysis of clinical protocols

Clinical guidelines, pathways and protocols are introduced to standardize and provide best-practice care. Analyzing deviations of actual care against the documented best practices is useful to find opportunities for complying better in the future. Prior work demonstrates that deviation analyses shou...

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Bibliographic Details
Published in2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) pp. 1130 - 1134
Main Authors Yan, Hui, Lu, Xudong, Van Gorp, Pieter, Heines, SJH Serge Jan Hubert, Nan, Shan, van Mook, Walther, Bergmans, Dennis, Kaymak, Uzay, Duan, Huilong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2018
Subjects
Aspirin
Clinical protocol
deviation
Electrocardiography
Guidelines
mining
pathway
Protocols
redesign
Task analysis
Ventilation
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Summary:Clinical guidelines, pathways and protocols are introduced to standardize and provide best-practice care. Analyzing deviations of actual care against the documented best practices is useful to find opportunities for complying better in the future. Prior work demonstrates that deviation analyses should be accurate, automated and insightful but only few studies manage to satisfy all three intentions. In this paper, we manage to reconcile accuracy with automation and insightfulness by combining the previously disconnected steps of checking and mining in compliance analysis software. Results are achieved using an algorithm that consists of three steps. We demonstrate the effectiveness of the algorithm via a real-life case from the intensive care unit of a Dutch hospital.
DOI:10.1109/BIBM.2018.8621133