Book chapter
Information Modeling for Cognitive Work in a Health Care System
Cognitive Systems Engineering in Health Care, pp.112-141
CRC Press
2015
DOI: 10.1201/b17737-10
Abstract
Information in Health Care ... 98
Information and Errors ... 98
Cognitive Work Design Methods and Health Care Information Systems ... 98
Information Trail Model for Cognitive Work Analysis and Design ... 101
Modeling Elements ... 101
State Changes and Unit Operations ... 101
Information Piece ... 103
Information Trail ... 105
Information Trail Modeling Phases ... 105
Phase 2: Information Modeling ... 105
Step 1: Data Gathering: Information Piece Identification at
Significant States ... 108
Step 2: Information Node Population... 109
Step 3: Information Abstraction and Strategy Discovery ... 113
Transition from OR to ICU: Case Example of an Information Trail
Model ... 116
Phase 3: Meta-Analysis, Thematic Analysis, and Prioritization of
Design Needs ... 120
Discussion ... 120
Concurrency of Information in the System ... 120
Repetition of Information ... 121
Information Visualization ... 121
Storage of Information ... 121
Strategies in Information Transformation ... 122
Markers and Signs ... 122
Conclusions ... 122
Acknowledgment ... 123
References ... 123
Information and Errors
Inadequate design support for information-based cognitive work continues
to cause significant medical errors (Wilson et al. 1995; Kohn et al. 1999; Leape
and Berwick 2005; Williams et al. 2007). Problems include availability of
and timely access to information, lack of information integration, and poor
provisions for sharing and transfer of accurate information (Ash et al. 2004;
Brennan et al. 2004; Arora 2005; Calleja et al. 2011). For example, in a landmark study, Leape et al. (1995) found that not having enough information
support precipitated 7 of 16 system failures and contributed to 78% of all
adverse drug events observed in their study. Similarly, Wilson et al. (1999)
found that poor sharing of essential information contributed to over 74% of
preventable adverse events. Information discrepancies in medication orders,
uncertainties in diagnosis from lack of information, and inadequate clinical decision support also cause medical errors (Barker et al. 2002; Croskerry
2003; Shulman et al. 2005; Koppel et al. 2008; Halbesleben et al. 2010). The
potential for expensive medical errors heightens the need to examine how
we design, operate, and maintain health care information systems.
Details
- Title: Subtitle
- Information Modeling for Cognitive Work in a Health Care System
- Creators
- Priyadarshini R Pennathur - University of Iowa, Industrial and Systems Engineering
- Resource Type
- Book chapter
- Publication Details
- Cognitive Systems Engineering in Health Care, pp.112-141
- DOI
- 10.1201/b17737-10
- Publisher
- CRC Press
- Language
- English
- Date published
- 2015
- Academic Unit
- Industrial and Systems Engineering; Internal Medicine
- Record Identifier
- 9984186979602771
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