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Jonathan M. Teich

Researcher at Brigham and Women's Hospital

Publications -  86
Citations -  9744

Jonathan M. Teich is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Clinical decision support system & Decision support system. The author has an hindex of 33, co-authored 86 publications receiving 9373 citations. Previous affiliations of Jonathan M. Teich include Elsevier & University of California, Los Angeles.

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Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.

TL;DR: Physician computer order entry decreased the rate of nonintercepted serious medication errors by more than half, although this decrease was larger for potential ADEs than for errors that actually resulted in an ADE.
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The Impact of Computerized Physician Order Entry on Medication Error Prevention

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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Grand challenges in clinical decision support

TL;DR: A rank-ordered list of the top 10 grand challenges in clinical decision support is identified to educate and inspire researchers, developers, funders, and policy-makers.
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A Roadmap for National Action on Clinical Decision Support

TL;DR: This document comprises an AMIA Board of Directors approved White Paper that presents a roadmap for national action on clinical decision support and is published in JAMIA for archival and dissemination purposes.
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Identifying adverse drug events: development of a computer-based monitor and comparison with chart review and stimulated voluntary report.

TL;DR: The computer-based monitoring system represents an efficient approach for measuring ADE frequency and gauging the effectiveness of ADE prevention programs and overlapped with two other ADE detection strategies, suggesting that the incidence of ADEs may be higher than previously reported and that different detection methods capture different events.