Rozenblum, Ronen

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

Harnessing the Power of Generative AI for Clinical Summaries: Perspectives From Emergency Physicians

Barak-Corren, Y., Wolf, R., Rozenblum, R., Creedon, J. K., Lipsett, S. C., Lyons, T. W., Michelson, K. A., Miller, K. A., Shapiro, D. J., Reis, B. Y., et al. (2024) · Annals of Emergency Medicine

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 75

Organizational strategies for promoting patient and provider uptake of personal health records

Wells, S., Rozenblum, R., Park, A., Dunn, M., & Bates, D. W. (2015) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMobile Health and mHealth Applications

Cited by 67

Implementation approaches and barriers for rule-based and machine learning-based sepsis risk prediction tools: A qualitative study

Joshi, M., Mecklai, K., Rozenblum, R., & Samal, L. (2022) · JAMIA Open

Electronic Health Records SystemsSepsis Diagnosis and Treatment

Cited by 46

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