Bates, David W.

Assessing the level of healthcare information technology adoption in the United States: a snapshot

Poon, E. G., Jha, A. K., Christino, M., Honour, M. M., Fernandopulle, R., Middleton, B., Newhouse, J., Leape, L., Bates, D. W., Blumenthal, D., et al. (2006) · BMC Medical Informatics and Decision Making

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 318

Physician Reporting Compared with Medical-Record Review to Identify Adverse Medical Events

O'Neil, A. C., Petersen, L. A., Cook, E. F., Bates, D. W., Lee, T. H., & Brennan, T. A. (1993) · Annals of Internal Medicine

Patient Safety and Medication ErrorsPharmacovigilance and Adverse Drug Reactions

Cited by 315

Resource Utilization of Patients With Hypochondriacal Health Anxiety and Somatization

Barsky, A. J., Ettner, S. L., Horsky, J., & Bates, D. W. (2001) · Medical Care

Psychosomatic Disorders and Their TreatmentsChronic Disease Management Strategies

Cited by 309

“I Wish I Had Seen This Test Result Earlier!”: Dissatisfaction With Test Result Management Systems in Primary Care

Poon, E. G., Gandhi, T. K., Sequist, T. D., Murff, H. J., Karson, A. S., & Bates, D. W. (2004) · Archives of Internal Medicine

Clinical Laboratory Practices and Quality ControlElectronic Health Records Systems

Cited by 301

Medication Dispensing Errors and Potential Adverse Drug Events before and after Implementing Bar Code Technology in the Pharmacy

Poon, E. G., Cina, J. L., Churchill, W., Patel, N., Featherstone, E., Rothschild, J. M., Keohane, C. A., Whittemore, A. D., Bates, D. W., & Gandhi, T. K. (2006) · Annals of Internal Medicine

Patient Safety and Medication ErrorsPharmaceutical Practices and Patient Outcomes

Cited by 294

A randomized trial of a computer-based intervention to reduce utilization of redundant laboratory tests

Bates, D. W., Kuperman, G. J., Rittenberg, E., Teich, J. M., Fiskio, J., Ma’luf, N., Onderdonk, A., Wybenga, D., Winkelman, J., Brennan, T. A., et al. (1999) · The American Journal of Medicine

Healthcare cost, quality, practicesElectronic Health Records Systems

Cited by 292

Clinical Decision Support Systems Could Be Modified To Reduce ‘Alert Fatigue’ While Still Minimizing The Risk Of Litigation

Kesselheim, A. S., Cresswell, K., Phansalkar, S., Bates, D. W., & Sheikh, A. (2011) · Health Affairs

Electronic Health Records SystemsMedical Malpractice and Liability Issues

Cited by 277

Tiering Drug-Drug Interaction Alerts by Severity Increases Compliance Rates

Paterno, M. D., Maviglia, S. M., Gorman, P. N., Seger, D. L., Yoshida, E., Seger, A. C., Bates, D. W., & Gandhi, T. K. (2009) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 263

What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior?

Schedlbauer, A., Prasad, V., Mulvaney, C., Phansalkar, S., Stanton, W., Bates, D. W., & Avery, A. J. (2009) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 262

Usability of Commercially Available Mobile Applications for Diverse Patients

Sarkar, U., Gourley, G. I., Lyles, C. R., Tieu, L., Clarity, C., Newmark, L., Singh, K., & Bates, D. W. (2016) · Journal of General Internal Medicine

Mobile Health and mHealth ApplicationsUsability and User Interface Design

Cited by 257

Telehealth Among US Hospitals: Several Factors, Including State Reimbursement And Licensure Policies, Influence Adoption

Adler-Milstein, J., Kvedar, J., & Bates, D. W. (2014) · Health Affairs

Telemedicine and Telehealth ImplementationHealthcare Policy and Management

Cited by 253

Improving Response to Critical Laboratory Results with Automation: Results of a Randomized Controlled Trial

Kuperman, G. J., Teich, J. M., Tanasijevic, M. J., Ma'Luf, N., Rittenberg, E., Jha, A., Fiskio, J., Winkelman, J., & Bates, D. W. (1999) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsHealthcare Technology and Patient Monitoring

Cited by 252

The Expanding Digital Divide: Digital Health Access Inequities during the COVID-19 Pandemic in New York City

Eruchalu, C. N., Pichardo, M. S., Bharadwaj, M., Rodriguez, C. B., Rodriguez, J. A., Bergmark, R. W., Bates, D. W., & Ortega, G. (2021) · Journal of Urban Health

Telemedicine and Telehealth ImplementationICT Impact and Policies

Cited by 245

Drug—drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records

Phansalkar, S., van der Sijs, H., Tucker, A. D., Desai, A. A., Bell, D. S., Teich, J. M., Middleton, B., & Bates, D. W. (2013) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 239

Testing the technology acceptance model for evaluating healthcare professionals’ intention to use an adverse event reporting system

Wu, J.-H., Shen, W.-S., Lin, L.-M., Greenes, R. A., & Bates, D. W. (2007) · International Journal for Quality in Health Care

Technology Adoption and User BehaviourPatient Safety and Medication Errors

Cited by 235

Characteristics and Consequences of Drug Allergy Alert Overrides in a Computerized Physician Order Entry System

Hsieh, T. C., Kuperman, G. J., Jaggi, T., Hojnowski-Diaz, P., Fiskio, J., Williams, D. H., Bates, D. W., & Gandhi, T. K. (2004) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 232

A review of human factors principles for the design and implementation of medication safety alerts in clinical information systems

Phansalkar, S., Edworthy, J., Hellier, E., Seger, D. L., Schedlbauer, A., Avery, A. J., & Bates, D. W. (2010) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsHealthcare Technology and Patient Monitoring

Cited by 226

Overrides of medication-related clinical decision support alerts in outpatients

Nanji, K. C., Slight, S. P., Seger, D. L., Cho, I., Fiskio, J. M., Redden, L. M., Volk, L. A., & Bates, D. W. (2014) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 219

An evaluation of risk factors for adverse drug events associated with angiotensin‐converting enzyme inhibitors

Morimoto, T., Gandhi, T. K., Fiskio, J. M., Seger, A. C., So, J. W., Cook, E. F., Fukui, T., & Bates, D. W. (2004) · Journal of Evaluation in Clinical Practice

Coagulation, Bradykinin, Polyphosphates, and AngioedemaRenin-Angiotensin System Studies

Cited by 211

Health information exchange and patient safety

Kaelber, D. C., & Bates, D. W. (2007) · Journal of Biomedical Informatics

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 206

Physicians And Ambulatory Electronic Health Records

Bates, D. W. (2005) · Health Affairs

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 204

Many Mobile Health Apps Target High-Need, High-Cost Populations, But Gaps Remain

Singh, K., Drouin, K., Newmark, L. P., Lee, J., Faxvaag, A., Rozenblum, R., Pabo, E. A., Landman, A., Klinger, E., & Bates, D. W. (2016) · Health Affairs

Mobile Health and mHealth ApplicationsHealth, Technology, Consumer Behavior

Cited by 201

The Relationship between Electronic Health Record Use and Quality of Care over Time

Zhou, L., Soran, C. S., Jenter, C. A., Volk, L. A., Orav, E. J., Bates, D. W., & Simon, S. R. (2009) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 194

Artificial intelligence in oncology: path to implementation

Chua, I. S., Gaziel‐Yablowitz, M., Korach, Z. T., Kehl, K. L., Levitan, N. A., Arriaga, Y. E., Jackson, G. P., Bates, D. W., & Hassett, M. (2021) · Cancer Medicine

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 179