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A System for the Semi-Automatic Evaluation of Clinical Practice Guideline Indicators
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Author(s): Alexandra Pomares Quimbaya (Pontificia Universidad Javeriana, Colombia), María Patricia Amórtegui (Pontificia Universidad Javeriana, Colombia), Rafael A. González (Pontificia Universidad Javeriana, Colombia), Oscar Muñoz (Pontificia Universidad Javeriana, Colombia & Hospital Universitario San Ignacio, Colombia), Wilson Ricardo Bohórquez (Pontificia Universidad Javeriana, Colombia & Hospital Universitario San Ignacio, Colombia), Olga Milena García (Pontificia Universidad Javeriana, Colombia)and Melany Montagut Ascanio (Hospital Universitario San Ignacio, Colombia)
Copyright: 2016
Pages: 11
Source title:
Human-Computer Interaction: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-8789-9.ch056
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Abstract
This paper presents EXEMED v2, a system that allows the evaluation of clinical practice guideline indicators. EXEMED v2 includes a knowledge base that supports the definition of executable rules applied over Electronic Health Records (EHR) in order to measure its compliance with a specific clinical guideline. Taking into account that an EHR may include structured attributes and narrative text attributes, EXEMED v2 analyzes both types. The process of evaluation in EXEMED v2 is to define the rules; once the rules are defined EXEMED v2 extracts from the EHR the facts that allow evaluating whether each one of them was accomplished or not. This evaluation includes different levels of certainty, allowing in some cases the interaction of a human evaluator to confirm (or not) automatic evaluation decisions. The functionality of EXEMED v2 was validated applying it in a case study of Acute Myocardial Infarction.
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