Bates, David W.

Medication-related clinical decision support alert overrides in inpatients

Nanji, K. C., Seger, D. L., Slight, S. P., Amato, M. G., Beeler, P. E., Her, Q. L., Dalleur, O., Eguale, T., Wong, A., Silvers, E. R., et al. (2018) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 179

The costs of adverse drug events in community hospitals

Hug, B. L., Keohane, C., Seger, D. L., Yoon, C., & Bates, D. W. (2012) · The Joint Commission Journal on Quality and Patient Safety

Patient Safety and Medication ErrorsPharmacovigilance and Adverse Drug Reactions

Cited by 169

Comparative Accuracy of Diagnosis by Collective Intelligence of Multiple Physicians vs Individual Physicians

Barnett, M. L., Boddupalli, D., Nundy, S., & Bates, D. W. (2019) · JAMA Network Open

Clinical Reasoning and Diagnostic SkillsArtificial Intelligence in Healthcare and Education

Cited by 154

Pharmacists Belong In Accountable Care Organizations And Integrated Care Teams

Smith, M., Bates, D. W., & Bodenheimer, T. S. (2013) · Health Affairs

Pharmacy and Medical PracticesInterprofessional Education and Collaboration

Cited by 140

Communication factors in the follow-up of abnormal mammograms

Poon, E. G., Haas, J. S., Puopolo, A. L., Gandhi, T. K., Burdick, E., Bates, D. W., & Brennan, T. A. (2004) · Journal of General Internal Medicine

Patient-Provider Communication in HealthcareDigital Radiography and Breast Imaging

Cited by 138

Computerised physician order entry-related medication errors: analysis of reported errors and vulnerability testing of current systems

Schiff, G. D., Amato, M. G., Eguale, T., Boehne, J. J., Wright, A., Koppel, R., Rashidee, A. H., Elson, R. B., Whitney, D. L., Thach, T.-T., et al. (2015) · BMJ Quality & Safety

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 138

High-priority drug–drug interactions for use in electronic health records

Phansalkar, S., Desai, A. A., Bell, D., Yoshida, E., Doole, J., Czochanski, M., Middleton, B., & Bates, D. W. (2012) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 134

Analysis of clinical decision support system malfunctions: a case series and survey

Wright, A., Hickman, T.-T. T., McEvoy, D., Aaron, S., Ai, A., Andersen, J. M., Hussain, S., Ramoni, R., Fiskio, J., Sittig, D. F., et al. (2016) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 132

Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases

Syrowatka, A., Kuznetsova, M., Alsubai, A., Beckman, A. L., Bain, P. A., Craig, K. J. T., Hu, J., Jackson, G. P., Rhee, K., & Bates, D. W. (2021) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationData-Driven Disease Surveillance

Cited by 130

A systematic review of federated learning applications for biomedical data

Crowson, M. G., Moukheiber, D., Arévalo, A. R., Lam, B. D., Mantena, S., Rana, A., Goss, D., Bates, D. W., & Celi, L. A. (2022) · PLOS Digital Health

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 129

The potential for artificial intelligence to transform healthcare: perspectives from international health leaders.

Silcox, C., Zimlichmann, E., Huber, K., Rowen, N., Saunders, R., McClellan, M., Kahn, C. N., Salzberg, C. A., & Bates, D. W. (2024) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

Cited by 129

Design and implementation of a comprehensive outpatient Results Manager

Poon, E. G., Wang, S. J., Gandhi, T. K., Bates, D. W., & Kuperman, G. J. (2003) · Journal of Biomedical Informatics

Electronic Health Records SystemsTechnology and Human Factors in Education and Health

Cited by 111

Effect of computerized provider order entry with clinical decision support on adverse drug events in the long-term care setting

Gurwitz, J. H., Field, T. S., Rochon, P., Judge, J., Harrold, L. R., Bell, C. M., Lee, M., White, K., LaPrino, J., Erramuspe‐Mainard, J., et al. (2008) · Journal of the American Geriatrics Society

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 106

Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions

Wang, L., Sha, L., Lakin, J. R., Bynum, J., Bates, D. W., Hong, P., & Zhou, L. (2019) · JAMA Network Open

Machine Learning in HealthcarePalliative Care and End-of-Life Issues

Cited by 105

Improving medication-related clinical decision support

Tolley, C. L., Slight, S. P., Husband, A. K., Watson, N., & Bates, D. W. (2018) · American Journal of Health-System Pharmacy

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 105

Differences in total and after-hours electronic health record time across ambulatory specialties.

Rotenstein, L. S., Holmgren, A. J., Downing, N. L., & Bates, D. W. (2021) · JAMA Internal Medicine

Electronic Health Records SystemsCOVID-19 and Mental Health

Cited by 101

Costs of adverse events in intensive care units*

Kaushal, R., Bates, D. W., Franz, C., Soukup, J. R., & Rothschild, J. M. (2007) · Critical Care Medicine

Patient Safety and Medication ErrorsClinical Reasoning and Diagnostic Skills

Cited by 100

Analysis of errors in dictated clinical documents assisted by speech recognition software and professional transcriptionists

Zhou, L., Blackley, S. V., Kowalski, L., Doan, R., Acker, W. W., Landman, A. B., Kontrient, E., Mack, D., Meteer, M., Bates, D. W., et al. (2018) · JAMA Network Open

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 94

Impact of Computerized Decision Support on Blood Pressure Management and Control: A Randomized Controlled Trial

Hicks, L. S., Sequist, T. D., Ayanian, J. Z., Shaykevich, S., Fairchild, D. G., Orav, E. J., & Bates, D. W. (2008) · Journal of General Internal Medicine

Electronic Health Records SystemsBlood Pressure and Hypertension Studies

Cited by 93

Governance for clinical decision support: case studies and recommended practices from leading institutions

Wright, A., Sittig, D. F., Ash, J. S., Bates, D. W., Feblowitz, J., Fraser, G., Maviglia, S. M., McMullen, C., Nichol, W. P., Pang, J. E., et al. (2011) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 92

Are We Heeding the Warning Signs? Examining Providers’ Overrides of Computerized Drug-Drug Interaction Alerts in Primary Care

Slight, S. P., Seger, D. L., Nanji, K. C., Cho, I., Maniam, N., Dykes, P. C., & Bates, D. W. (2013) · PLoS ONE

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 86

Prospective evaluation of medication-related clinical decision support over-rides in the intensive care unit

Wong, A., Amato, M. G., Seger, D. L., Rehr, C., Wright, A., Slight, S. P., Beeler, P. E., Orav, E. J., & Bates, D. W. (2018) · BMJ Quality & Safety

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 77

AI-induced never-skilling in medical education

Ke, Y., Jin, L., Ong, J. C. L., Thirunavukarasu, A. J., Car, J., Cheung, C. Y., Tham, Y. C., Ting, D. S. W., Ong, M. E. H., Compton, S., et al. (2026) · Nature Medicine

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 71

Documentation dynamics: note composition, burden, and physician efficiency

Apathy, N. C., Rotenstein, L., Bates, D. W., & Holmgren, A. J. (2023) · Health Services Research

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 70