Health information technology: fallacies and sober realities
Open Access
- 1 November 2010
- journal article
- Published by Oxford University Press (OUP) in Journal of the American Medical Informatics Association
- Vol. 17 (6), 617-623
- https://doi.org/10.1136/jamia.2010.005637
Abstract
Current research suggests that the rate of adoption of health information technology (HIT) is low, and that HIT may not have the touted beneficial effects on quality of care or costs. The twin issues of the failure of HIT adoption and of HIT efficacy stem primarily from a series of fallacies about HIT. We discuss 12 HIT fallacies and their implications for design and implementation. These fallacies must be understood and addressed for HIT to yield better results. Foundational cognitive and human factors engineering research and development are essential to better inform HIT development, deployment, and use.This publication has 93 references indexed in Scilit:
- Effect of Bar-Code Technology on the Safety of Medication AdministrationThe New England Journal of Medicine, 2010
- Cognitive performance-altering effects of electronic medical records: an application of the human factors paradigm for patient safetyCognition, Technology & Work, 2010
- Physicians’ beliefs about using EMR and CPOE: In pursuit of a contextualized understanding of health IT use behaviorInternational Journal of Medical Informatics, 2010
- Hospital Computing and the Costs and Quality of Care: A National StudyAmerican Journal Of Medicine, 2010
- The unintended consequences of computerized provider order entry: Findings from a mixed methods explorationInternational Journal of Medical Informatics, 2009
- Electronic Health Records in Ambulatory Care — A National Survey of PhysiciansThe New England Journal of Medicine, 2008
- Computerized Clinical Decision Support: Will it Transform Healthcare?Journal of General Internal Medicine, 2007
- Grand challenges in clinical decision supportJournal of Biomedical Informatics, 2007
- Electronic Health Record Use and the Quality of Ambulatory Care in the United StatesArchives of Internal Medicine, 2007
- Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient OutcomesJAMA, 2005