Bates, David W.

Comparison of Medication Alerts from Two Commercial Applications in the USA

Shah, S. N., Seger, D. L., Fiskio, J. M., Horn, J. R., & Bates, D. W. (2021) · Drug Safety

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 30

Effects of Computerized Physician Order Entry and Clinical Decision Support Systems on Medication Safety: A Systematic Review

Kaushal, R., Shojania, K. G., & Bates, D. W. (2003) · Archives of Internal Medicine

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 30

Physician note composition patterns and time on the EHR across specialty types: a national, cross-sectional study.

Rotenstein, L. S., Apathy, N., Holmgren, A. J., & Bates, D. W. (2023) · Journal of General Internal Medicine

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 28

Performance and improvement strategies for adapting generative large language models for electronic health record applications: a systematic review

Du, X., Zhou, Z., Wang, Y., Chuang, Y.-W., Li, Y., Yang, R., Hong, P., Bates, D. W., & Zhou, L. (2026) · International Journal of Medical Informatics

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 26

Evaluation of Harm Associated with High Dose-Range Clinical Decision Support Overrides in the Intensive Care Unit

Wong, A., Rehr, C., Seger, D. L., Amato, M. G., Beeler, P. E., Slight, S. P., Wright, A., & Bates, D. W. (2019) · Drug Safety

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 21

Development of the individualised Comparative Effectiveness of Models Optimizing Patient Safety and Resident Education (iCOMPARE) trial: a protocol summary of a national cluster-randomised trial of resident duty hour policies in internal medicine

Shea, J. A., Silber, J. H., Desai, S. V., Dinges, D. F., Bellini, L. M., Tonascia, J., Sternberg, A. L., Small, D. S., Shade, D. M., Katz, J. T., et al. (2018) · BMJ Open

Hospital Admissions and OutcomesSleep and Work-Related Fatigue

Cited by 18

AI-enabled clinical decision support software: a “trust and value checklist” for clinicians

Silcox, C., Dentzer, S., & Bates, D. W. (2020) · NEJM Catalyst

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 18

Association of Primary Care Physicians’ Electronic Inbox Activity Patterns with Patients’ Likelihood to Recommend the Physician

Rotenstein, L. S., Melnick, E. R., Jeffery, M., Zhang, J., Sinsky, C. A., Gitomer, R., & Bates, D. W. (2024) · Journal of General Internal Medicine

Patient Satisfaction in HealthcareHealthcare Systems and Technology

Cited by 12

Developing, Pilot Testing, and Refining Requirements for 3 EHR-Integrated Interventions to Improve Diagnostic Safety in Acute Care: A User-Centered Approach

Garber, A., Garabedian, P., Wu, L., Lam, A., Malik, M., Fraser, H., Bersani, K., Piniella, N., Motta-Calderon, D., Rozenblum, R., et al. (2023) · JAMIA Open

Clinical Reasoning and Diagnostic SkillsElectronic Health Records Systems

Cited by 10