Standardized languages and notations for graphical modelling of patient care processes: a systematic review
Abstract
Purpose: The importance of working toward quality improvement in healthcare implies an increasing interest in analysing, understanding and optimizing process logic and sequences of activities embedded in healthcare processes. Their graphical representation promotes faster learning, higher retention and better compliance. The study identifies standardized graphical languages and notations applied to patient care processes and investigates their usefulness in the healthcare setting.Data sources: Peer-reviewed literature up to 19 May 2016. Information complemented by a questionnaire sent to the authors of selected studies.Study selection: Systematic review conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.Data extraction: Five authors extracted results of selected studies.Results of data synthesis: Ten articles met the inclusion criteria. One notation and language for healthcare process modelling were identified with an application to patient care processes: Business Process Model and Notation and Unified Modeling LanguageTM. One of the authors of every selected study completed the questionnaire. Users' comprehensibility and facilitation of inter-professional analysis of processes have been recognized, in the filled in questionnaires, as major strengths for process modelling in healthcare.Conclusion: Both the notation and the language could increase the clarity of presentation thanks to their visual properties, the capacity of easily managing macro and micro scenarios, the possibility of clearly and precisely representing the process logic. Both could increase guidelines/path- ways applicability by representing complex scenarios through charts and algorithms hence contributing to reduce unjustified practice variations which negatively impact on quality of care and patient safety.
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MINCARONE P.; LEO C.G.; TRUJILLO-MARTÍN M.M.; MANSON J.;GUARINO R.; PONZINI G.; SABINA S.
Titolo volume/Rivista
International journal for quality in health care
Anno di pubblicazione
2018
ISSN
1353-4505
ISBN
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Nessuna citazione
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Settori ERC
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Codici ASJC
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