Engineering Representations to Support Evidence-based Clinical Practice

John M Flach; Peter Reynolds; Caroline Cao; Tiffany Saffell

doi:10.1177/2327857917061015

Engineering Representations to Support Evidence-based Clinical Practice

John M Flach, Peter Reynolds, Caroline Cao, Tiffany Saffell

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper provides an introduction to Cognitive Systems Engineering (CSE) and Ecological Interface Design (EID), as important complements to more conventional Human Factors Engineering approaches. These complementary perspectives are essential for supporting productive thinking in complex work domains, such as healthcare. We suggest that EHR systems provide a unique opportunity to take advantage of these approaches to support Evidence-Based Practice (EBP) in healthcare and we show examples of these approaches to three different healthcare problems: cardiovascular health, pain management, and anemia.

Original language	English (US)
Pages (from-to)	66-73
Journal	Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care
Volume	6
Issue number	1
DOIs	https://doi.org/10.1177/2327857917061015
State	Published - Jun 2017
Externally published	Yes

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Engineering Representations to Support Evidence-based Clinical Practice

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