David W. Bates

David Bates (born June 5, 1957) is an American physician, biomedical informatician, and professor, known for his work regarding the use of health information technology (HIT) to improve the safety and quality of healthcare, in particular by using clinical decision support. Bates has done work in the area of medication safety. He began by describing the epidemiology of harm caused by medications, first in hospitalized patients and then in other settings such as the home and nursing homes. Provided by Wikipedia
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  1. 1
    Optimising electronic prescribing in hospitals: a scoping review protocol

    Optimising electronic prescribing in hospitals: a scoping review protocol by David W Bates, Jac Williams

    Published 2020-07-01
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  2. 2
    The recent trend of twin epidemic in the United States: a 10-year longitudinal cohort study of co-prescriptions of opioids and stimulantsResearch in context

    The recent trend of twin epidemic in the United States: a 10-year longitudinal cohort study of co-prescriptions of opioids and stimulantsResearch in context by Seungyeon Lee, Wenyu Song, David W. Bates, Richard D. Urman, Ping Zhang

    Published 2025-04-01
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  3. 3
    Opioid and stimulant co-prescribing: our efforts and remaining open questions—authors' reply

    Opioid and stimulant co-prescribing: our efforts and remaining open questions—authors' reply by Wenyu Song, Seungyeon Lee, David W. Bates, Richard D. Urman, Ping Zhang

    Published 2025-05-01
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  4. 4
    Qualitative analysis of round-table discussions on the business case and procurement challenges for hospital electronic prescribing systems.

    Qualitative analysis of round-table discussions on the business case and procurement challenges for hospital electronic prescribing systems. by Kathrin M Cresswell, Ann Slee, Jamie Coleman, Robin Williams, David W Bates, Aziz Sheikh

    Published 2013-01-01
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  5. 5
    Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making

    Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making by Nehal Hassan, Robert Slight, Kweku Bimpong, David W. Bates, Daniel Weiand, Akke Vellinga, Graham Morgan, Sarah P. Slight

    Published 2024-11-01
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  6. 6
    Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning

    Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning by Braden W. Eberhard, Raphael Y. Cohen, Nolan Wheeler, Ricardo Kleinlein, John Rigoni, David W. Bates, Kathryn J. Gray, Vesela P. Kovacheva

    Published 2025-01-01
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  7. 7
    Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning.

    Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning. by Braden W Eberhard, Raphael Y Cohen, Nolan Wheeler, Ricardo Kleinlein, John Rigoni, David W Bates, Kathryn J Gray, Vesela P Kovacheva

    Published 2025-01-01
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  8. 8
    Clinician Attitudes and Perceptions of Point-of-Care Information Resources and Their Integration Into Electronic Health Records: Qualitative Interview Study

    Clinician Attitudes and Perceptions of Point-of-Care Information Resources and Their Integration Into Electronic Health Records: Qualitative Interview Study by Marlika Marceau, Sevan Dulgarian, Jacob Cambre, Pamela M Garabedian, Mary G Amato, Diane L Seger, Lynn A Volk, Gretchen Purcell Jackson, David W Bates, Ronen Rozenblum, Ania Syrowatka

    Published 2025-05-01
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  9. 9
    Allergy alerting and overrides for opioid analogues across two health systems

    Allergy alerting and overrides for opioid analogues across two health systems by David W Bates, Li Zhou, Kimberly G Blumenthal, Diane L Seger, Rachel L Wasserman, Heba H Edrees, Foster R Goss, Ying-Chih Lo, Sheril Varghese, Liqin Wang, Suzanne Blackley

    Published 2025-05-01
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