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Diane L. Seger
Researcher at Partners HealthCare
Publications - 94
Citations - 7438
Diane L. Seger is an academic researcher from Partners HealthCare. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 26, co-authored 86 publications receiving 6722 citations. Previous affiliations of Diane L. Seger include Harvard University & Brigham and Women's Hospital.
Papers
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Journal ArticleDOI
Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.
David W. Bates,Lucian L. Leape,David J. Cullen,Nan M. Laird,Laura A. Petersen,Jonathan M. Teich,Elizabeth Burdick,Mairead L. Hickey,Sharon Kleefield,Brian T. Shea,Martha Vander Vliet,Diane L. Seger +11 more
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.
Journal ArticleDOI
Adverse Drug Events in Ambulatory Care
Tejal K. Gandhi,Saul N. Weingart,Joshua Borus,Andrew C. Seger,Josh F. Peterson,Elisabeth Burdick,Diane L. Seger,Kirstin Shu,Frank Federico,Lucian L. Leape,David W. Bates +10 more
TL;DR: Improving communication between outpatients and providers may help prevent adverse events related to drugs, and many are preventable or ameliorable.
Journal ArticleDOI
Guided medication dosing for inpatients with renal insufficiency.
Glenn M. Chertow,Joshua Lee,Gilad J. Kuperman,Elisabeth Burdick,Jan Horsky,Diane L. Seger,Rita Lee,Aparna Mekala,Jean Song,Anthony L. Komaroff,David W. Bates +10 more
TL;DR: Guided medication dosing for inpatients with renal insufficiency appears to result in improved dose and frequency choices, and demonstrates a way in which computer-based decision support systems can improve care.
Journal ArticleDOI
Improving Acceptance of Computerized Prescribing Alerts in Ambulatory Care
Nidhi R. Shah,Andrew C. Seger,Diane L. Seger,Julie M. Fiskio,Gilad J. Kuperman,Barry H. Blumenfeld,Elaine G. Recklet,David W. Bates,Tejal K. Gandhi +8 more
TL;DR: The data suggest that it is possible to design computerized prescribing decision support with high rates of alert recommendation acceptance by clinicians by designing a selective set of drug alerts for the ambulatory care setting and minimizing workflow disruptions by designating only critical to high-severity alerts to be interruptive to clinician workflow.
Journal ArticleDOI
Tiering drug-drug interaction alerts by severity increases compliance rates.
Marilyn D. Paterno,Saverio M. Maviglia,Saverio M. Maviglia,Paul Gorman,Diane L. Seger,Eileen Yoshida,Andrew C. Seger,Andrew C. Seger,Andrew C. Seger,David W. Bates,David W. Bates,Tejal K. Gandhi +11 more
TL;DR: Tiered alerting by severity was associated with higher compliance rates of DDI alerts in the inpatient setting, and lack of tiering wasassociated with a high override rate of more severe alerts.