Comprehensive Analysis of a Medication Dosing Error Related to CPOE
TLDR
The authors characterized errors in several converging aspects of the drug ordering process: confusing on-screen laboratory results review, system usability difficulties, user training problems, and suboptimal clinical system safeguards that all contributed to a serious dosing error.Citations
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Types of Unintended Consequences Related to Computerized Provider Order Entry
TL;DR: Identifying and understanding the types and in some instances the causes of unintended adverse consequences associated with CPOE will enable system developers and implementers to better manage implementation and maintenance of future C POE projects.
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A comparison of usability methods for testing interactive health technologies: Methodological aspects and empirical evidence
TL;DR: An overview of the methodological and empirical research available on the three usability inspection and testing methods most often used is provided, finding no single method has revealed any significant results indicating that it is singularly effective in all circumstances.
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Health IT and Patient Safety: Building Safer Systems for Better Care
TL;DR: This report assesses how HIS can be designed, developed, implemented, monitored, and maintained to maximize safety and identifies seven publications presenting results of assessments of e-iatrogenic risk.
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The multitasking clinician: Decision-making and cognitive demand during and after team handoffs in emergency care
Archana Laxmisan,A. Forogh Hakimzada,Osman R. Sayan,Robert A. Green,Jiajie Zhang,Vimla L. Patel +5 more
TL;DR: The results show that the nature of the communication process in the ED is complex and cognitively taxing for the clinicians, which can compromise patient safety and the need to tailor existing generic electronic tools to support adaptive processes like multitasking and handoffs in a time-constrained environment is discussed.
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Position paper: The coming of age of artificial intelligence in medicine
Vimla L. Patel,Edward H. Shortliffe,Mario Stefanelli,Peter Szolovits,Michael R. Berthold,Riccardo Bellazzi,Ameen Abu-Hanna +6 more
TL;DR: This paper is based on a panel discussion held at the Artificial Intelligence in Medicine Europe conference in Amsterdam, The Netherlands, in July 2007 and characterize the maturity and influence that has been achieved to date.
References
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Adverse drug events in hospitalized patients : Excess length of stay, extra costs, and attributable mortality.
TL;DR: The attributable lengths of stay and costs of hospitalization for ADEs are substantial and an ADE is associated with a significantly prolonged length of stay, increased economic burden, and an almost 2-fold increased risk of death.
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The Impact of Computerized Physician Order Entry on Medication Error Prevention
David W. Bates,Jonathan M. Teich,Joshua Lee,Diane L. Seger,Gilad J. Kuperman,Nell Ma'Luf,Deborah Boyle,Lucian L. Leape +7 more
TL;DR: Computerized POE substantially decreased the rate of non-missed-dose medication errors, and a major reduction in errors was achieved with the initial version of the system, and further reductions were found with addition of decision support features.
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Reducing the Frequency of Errors in Medicine Using Information Technology
TL;DR: The goal of this white paper is to describe how the frequency and consequences of errors in medical care can be reduced (although in some instances they are potentiated) by the use of information technology in the provision of care, and to make general and specific recommendations regarding error reduction through the useof information technology.
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Cognitive and usability engineering methods for the evaluation of clinical information systems
Andre Kushniruk,Vimla L. Patel +1 more
TL;DR: The methods described can be a part of the formative evaluation of systems during their iterative development, and can also complement more traditional assessment methods used in summative system evaluation of completed systems.
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Does housestaff discontinuity of care increase the risk for preventable adverse events
TL;DR: The relation between housestaff coverage and potentially preventable adverse events in hospitalized patients using previously tested self-report methods was studied.