Schulman, Kevin A.

The Effect of Race and Sex on Physicians' Recommendations for Cardiac Catheterization

Schulman, K. A., Berlin, J. A., Harless, W., Kerner, J. F., Sistrunk, S., Gersh, B. J., Dubé, R., Taleghani, C. K., Burke, J. E., Williams, S., et al. (1999) · New England Journal of Medicine

Sex and Gender in HealthcareDiversity and Career in Medicine

Cited by 1,934

Covid-19 and Health Care’s Digital Revolution

Keesara, S., Jonas, A., & Schulman, K. (2020) · New England Journal of Medicine

Telemedicine and Telehealth ImplementationHealthcare during COVID-19 Pandemic

Cited by 1,126

Effects of Exercise Training on Health Status in Patients With Chronic Heart Failure: HF-ACTION Randomized Controlled Trial

Flynn, K. E., Piña, I. L., Whellan, D. J., Lin, L., Blumenthal, J. A., Ellis, S. J., Fine, L. J., Howlett, J. G., Keteyian, S. J., Kitzman, D. W., et al. (2009) · JAMA

Cardiovascular and exercise physiologyHeart Failure Treatment and Management

Cited by 737

Delivering affordable cancer care in high-income countries

Sullivan, R., Peppercorn, J., Sikora, K., Zalcberg, J., Meropol, N. J., Amir, E., Khayat, D., Boyle, P., Autier, P., Tannock, I. F., et al. (2011) · The Lancet Oncology

Economic and Financial Impacts of CancerHealth Systems, Economic Evaluations, Quality of Life

Cited by 718

Ethical and Scientific Implications of the Globalization of Clinical Research

Glickman, S. W., McHutchison, J. G., Peterson, E. D., Cairns, C. B., Harrington, R. A., Califf, R. M., & Schulman, K. A. (2009) · New England Journal of Medicine

Ethics in Clinical ResearchBiomedical Ethics and Regulation

Cited by 710

An Evaluation of Mobile Health Application Tools

Sama, P. R., Eapen, Z. J., Weinfurt, K. P., Shah, B. R., & Schulman, K. A. (2014) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 230

Administrative Costs Associated With Physician Billing and Insurance-Related Activities at an Academic Health Care System

Tseng, P., Kaplan, R. S., Richman, B. D., Shah, M. A., & Schulman, K. A. (2018) · JAMA

Healthcare Policy and ManagementHealthcare cost, quality, practices

Cited by 160

Patient Expectations of Benefit from Phase I Clinical Trials: Linguistic Considerations in Diagnosing a Therapeutic Misconception

Weinfurt, K. P., Sulmasy, D. P., Schulman, K. A., & Meropol, N. J. (2003) · Theoretical Medicine and Bioethics

Ethics in Clinical ResearchEthics and bioethics in healthcare

Cited by 74

Treatment patterns for neovascular age-related macular degeneration: analysis of 284 380 Medicare beneficiaries

Curtis, L. H., Hammill, B. G., Qualls, L. G., Dimartino, L. D., Wang, F., Schulman, K. A., & Cousins, S. W. (2012) · American Journal of Ophthalmology

Retinal Diseases and TreatmentsRetinal and Macular Surgery

Cited by 64

Holistic evaluation of large language models for medical tasks with MedHELM

Bedi, S., Cui, H., Fuentes, M., Unell, A., Wornow, M., Banda, J. M., Kotecha, N., Keyes, T., Mai, Y., Oez, M., et al. (2026) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 59

Digital Health COVID-19 Impact Assessment: Lessons Learned and Compelling Needs

Microsoft, Lee, P., Abernethy, A., Verily, Shaywitz, D., HealthTech, A., Gundlapalli, A., Prevention, U. S. C. F. D. C. A., Weinstein, J., Healthcare, M., et al. (2022) · NAM Perspectives

COVID-19 Digital Contact TracingHealthcare during COVID-19 Pandemic

Cited by 49

Barriers to Achieving Economies of Scale in Analysis of EHR Data: A Cautionary Tale

Sendak, M. P., Balu, S., & Schulman, K. A. (2017) · Applied Clinical Informatics

Electronic Health Records SystemsMachine Learning in Healthcare

Cited by 45

STAR 3 Randomized controlled trial to compare sensor-augmented insulin pump therapy with multiple daily injections in the treatment of type 1 diabetes: research design, methods, and baseline characteristics of enrolled subjects

Davis, S. N., Horton, E. S., Battelino, T., Rubin, R. R., Schulman, K. A., & Tamborlane, W. V. (2010) · Diabetes Technology & Therapeutics

Diabetes Management and ResearchDiabetes Management and Education

Cited by 40

From Tool to Teammate: A Randomized Controlled Trial of Clinician-AI Collaborative Workflows for Diagnosis

Everett, S. S., Bunning, B. J., Jain, P., Lopez, I., Agarwal, A., Desai, M., Gallo, R., Goh, E., Kadiyala, V. B., Kanjee, Z., et al. (2025) · medRxiv

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 18

SmartAlert - Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Laboratory Utilization Reduction

Liang, A. S., Amrollahi, F., Jiang, Y., Corbin, C. K., Kim, G. Y. E., Mui, D., Crowell, T., Acharya, A., Mony, S., Punnathanam, S., et al. (2026) · NEJM AI

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 0