Cognitive engineering for better health care systems

Ann M. Bisantz; Rollin J. Fairbanks; Catherine M. Burns

doi:10.1201/b17737

Cognitive engineering for better health care systems

Ann M. Bisantz
, Rollin J. Fairbanks
, Catherine M. Burns

Undergraduate Education Office

MedStar Health
University of Waterloo

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

The discipline of cognitive engineering began more than 30 years ago in response to newly recognized challenges faced by people working in and controlling complex, high-technology systems. These challenges resulted in part from a fundamental shift of work away from physical labor to sophisticated cognitive tasks such as sense making, planning, diagnosing, and decision making. System designers and researchers recognized that the cognitive work demands imposed by these systems—characterized by complex, interconnected, and dynamic components; increasing levels of automation; and an ever-wider reach—could lead to errors with potentially disastrous outcomes. In fact, high-profile accidents in domains of nuclear power (Three Mile Island; Chernobyl), aviation (Air France Flight 296), and military systems (USS Vincennes; USS Stark) both demonstrated the need for, and led to advanced research in, a new framework of cognitively informed system design—cognitive engineering.

Original language	English
Title of host publication	Cognitive Systems Engineering in Health Care
Publisher	CRC Press
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781466587984
ISBN (Print)	9781466587960
DOIs	https://doi.org/10.1201/b17737
State	Published - Jan 1 2014

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10.1201/b17737

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abstract = "The discipline of cognitive engineering began more than 30 years ago in response to newly recognized challenges faced by people working in and controlling complex, high-technology systems. These challenges resulted in part from a fundamental shift of work away from physical labor to sophisticated cognitive tasks such as sense making, planning, diagnosing, and decision making. System designers and researchers recognized that the cognitive work demands imposed by these systems{\textemdash}characterized by complex, interconnected, and dynamic components; increasing levels of automation; and an ever-wider reach{\textemdash}could lead to errors with potentially disastrous outcomes. In fact, high-profile accidents in domains of nuclear power (Three Mile Island; Chernobyl), aviation (Air France Flight 296), and military systems (USS Vincennes; USS Stark) both demonstrated the need for, and led to advanced research in, a new framework of cognitively informed system design{\textemdash}cognitive engineering.",

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Cognitive engineering for better health care systems

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