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Medical error management and the role of information technology - a new approach to investigating medical handover in acute care settings


Yee, KC and Wong, MC and Turner, P, Medical error management and the role of information technology - a new approach to investigating medical handover in acute care settings, Studies in Health Technology and Informatics, 124, (1) pp. 679-684. ISSN 0926-9630 (2006) [Refereed Article]


While identifying reasons why medical errors occur and constructing models of how to manage them has proved relatively straightforward, implementing and meaningfully evaluating solutions in 'real-world' settings has proven considerably more difficult. From an information systems (IS) perspective, although the promise of technology remains powerful, the continuing high incidence of medical errors suggest that eHealth approaches are struggling to acquire a clear understanding of the complex, dynamic and multi-layered nature of acute care settings and clinical practices, and to respond effectively to address the range of errors that actually occur. Using medical handover as a field-site, this research-in-progress paper presents an adaptation of James Reason's 'Swiss Cheese Model' to conceptualize the complex factors at play in medical errors in terms of human, system and informational elements. This research paper then examines how drawing on this model it is possible to generate and implement a methodological approach that both enhances a holistic understanding of medical error management and illuminates criteria that can be used to meaningfully identify an appropriate role for information technology in medical error mitigation. This research-in-progress paper aims to make a significant contribution to research into medical error management in 'real-world' acute care settings. This research is part of a bigger project that aims to develop, implement and evaluate an information technology artefact as part of an holistic information systems approach to improving medical error management at medical handover. © 2006 Organizing Committee of MIE 2006.

Item Details

Item Type:Refereed Article
Research Division:Information and Computing Sciences
Research Group:Information systems
Research Field:Information systems not elsewhere classified
Objective Division:Health
Objective Group:Other health
Objective Field:Other health not elsewhere classified
UTAS Author:Yee, KC (Dr Kwang Yee)
UTAS Author:Wong, MC (Dr Ming Wong)
UTAS Author:Turner, P (Associate Professor Paul Turner)
ID Code:44112
Year Published:2006
Web of Science® Times Cited:9
Deposited By:Information Systems
Deposited On:2006-08-01
Last Modified:2012-03-05

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