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Are we ready for conformance checking in healthcare? Measuring adherence to clinical guidelines: A scoping systematic literature review.
Oliart, Eimy; Rojas, Eric; Capurro, Daniel.
Afiliação
  • Oliart E; School of Computing and Information Systems, University of Melbourne, Melbourne, Australia.
  • Rojas E; Department of Clinical Laboratories, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile.
  • Capurro D; School of Computing and Information Systems, Centre for the Digital Transformation of Health, University of Melbourne, Melbourne, Australia. Electronic address: dcapurro@unimelb.edu.au.
J Biomed Inform ; 130: 104076, 2022 06.
Article em En | MEDLINE | ID: mdl-35525401
ABSTRACT
Clinical guidelines are recommendations of how to diagnose, treat, and manage a patient's medical condition. Health organizations must measure adherence to clinical guidelines to enhance the quality of service, but due to the complexity of the medical environment, there is no simple way of measuring adherence to clinical guidelines. This scoping review will systematically assess the criteria used to measure adherence to clinical guidelines in the past 20 years and explore the suitability of using process mining techniques. We will use a workflow protocol based on declarative and temporal constraints to translate the narrative text rules in the publications into a high-level process model. This approach will enable us to explore the main patterns and gaps identified when measuring adherence to clinical guidelines and how they affect the adoption of process mining techniques. The main contributions of this paper are a) a comprehensive analysis of the criteria used for measuring adherence, considering a diverse set of medical conditions b) a framework that will classify the level of complexity of the rules used to measure adherence based on declarative and temporal constraints c) list of key trends and gaps identified in the literature and how they relate to the use of process mining techniques in healthcare.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Atenção à Saúde Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Atenção à Saúde Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article