Lin, Steven

Ten Ways Artificial Intelligence Will Transform Primary Care

Lin, S. Y., Mahoney, M. R., & Sinsky, C. A. (2019) · Journal of General Internal Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

Cited by 248

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.

Shah, S. J., Devon-Sand, A., Ma, S. P., Jeong, Y., Crowell, T., Smith, M., Liang, A. S., Delahaie, C., Hsia, C., Shanafelt, T., et al. (2025) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 224

Impact of scribes on physician satisfaction, patient satisfaction, and charting efficiency: a randomized controlled trial

Gidwani, R., Nguyen, C., Kofoed, A., Carragee, C., Rydel, T., Nelligan, I., Sattler, A., Mahoney, M., & Lin, S. (2017) · The Annals of Family Medicine

Electronic Health Records SystemsNursing Roles and Practices

Cited by 202

Ambient artificial intelligence scribes: utilization and impact on documentation time

Ma, S. P., Liang, A. S., Shah, S. J., Smith, M., Jeong, Y., Devon-Sand, A., Crowell, T., Delahaie, C., Hsia, C., Lin, S., et al. (2025) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 155

Competencies for the Use of Artificial Intelligence in Primary Care

Liaw, W., Kueper, J. K., Lin, S., Bazemore, A., & Kakadiaris, I. (2022) · The Annals of Family Medicine

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 83

A Clinician's Guide to Artificial Intelligence (AI): Why and How Primary Care Should Lead the Health Care AI Revolution

Lin, S. (2022) · The Journal of the American Board of Family Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

Cited by 77

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

Effectiveness of an Artificial Intelligence–Enabled Intervention for Detecting Clinical Deterioration

Gallo, R. J., Shieh, L., Smith, M., Marafino, B. J., Geldsetzer, P., Asch, S. M., Shum, K., Lin, S., Westphal, J., Hong, G., et al. (2024) · JAMA Internal Medicine

Healthcare Technology and Patient MonitoringMachine Learning in Healthcare

Cited by 58

From Code to Bedside: Implementing Artificial Intelligence Using Quality Improvement Methods

Smith, M., Sattler, A., Hong, G., & Lin, S. (2021) · Journal of General Internal Medicine

Artificial Intelligence in Healthcare and EducationHealth Policy Implementation Science

Cited by 51

Advancing primary care with Artificial Intelligence and Machine Learning

Yang, Z., Silcox, C., Sendak, M., Rose, S., Rehkopf, D., Phillips, R., Peterson, L., Marino, M., Maier, J., Lin, S., et al. (2022) · Healthcare

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 38

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care

Young, R. A., Martin, C. M., Sturmberg, J. P., Hall, S., Bazemore, A., Kakadiaris, I. A., & Lin, S. (2024) · The Journal of the American Board of Family Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 17

Five Years’ Experience With a Medical Scribe Fellowship: Shaping Future Health Professions Students While Addressing Provider Burnout

Lin, S., Duong, A., Nguyen, C., & Teng, V. (2021) · Academic Medicine

Medical Education and AdmissionsHealthcare professionals’ stress and burnout

Cited by 14

Effect of an Electronic Health Record-Based Intervention on Documentation Practices

Shah, S., Bedgood, M., Devon-Sand, A., Dolphin-Dempsey, C., Cherukuri, V., Weng, K., Lin, S., & Sharp, C. (2024) · Applied Clinical Informatics

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 4

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