Smith, Margaret

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

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

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

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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

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