Open AccessApplication of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study
Author(s) -
Pascale Carayon,
Peter Hoonakker,
Ann Schoofs Hundt,
Megan E. Salwei,
Douglas A. Wiegmann,
Roger Brown,
Peter Kleinschmidt,
Clair Novak,
Michael S. Pulia,
Yudi Wang,
Emily J. Wirkus,
Brian W. Patterson
Publication year - 2019
Publication title -
bmj quality and safety
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.53
H-Index - 145
eISSN - 2044-5423
pISSN - 2044-5415
DOI - 10.1136/bmjqs-2019-009857
Subject(s) - usability , workload , decision support system , clinical decision support system , medicine , usable , alertness , computer science , medical emergency , artificial intelligence , human–computer interaction , multimedia , pharmacology , operating system
In this study, we used human factors (HF) methods and principles to design a clinical decision support (CDS) that provides cognitive support to the pulmonary embolism (PE) diagnostic decision-making process in the emergency department. We hypothesised that the application of HF methods and principles will produce a more usable CDS that improves PE diagnostic decision-making, in particular decision about appropriate clinical pathway.