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JMIR Medical Informatics|October 4, 2016
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning ApproachThomas Desautels, Jacob Calvert, Jana Hoffman, et al.Plos One|September 20, 2023
Mental health symptoms are comparable in patients hospitalized with acute illness and patients hospitalized with injuryEve B Carlson, Lisa Shieh, M Rose Barlow, et al.Postgraduate Medical Journal|October 11, 2018
A long wait: barriers to discharge for long length of stay patientsEmma Jane Zhao, Apurva Yeluru, Lakshman Manjunath, et al.Journal of General Internal Medicine|January 21, 2026
"I Double Checked It with My Own Knowledge:" Physician Perspectives on the Use of AI Chatbots for Clinical Decision-MakingHannah Kerman, Rachel Siden, Josephine A Cool, et al.BMC Medical Informatics and Decision Making|August 21, 2019
Thrombophilia testing in the inpatient setting: impact of an educational interventionHenry Kwang, Eric Mou, Ilana Richman, et al.Journal of Hospital Medicine|February 6, 2018
Shared Decision-Making During Inpatient Rounds: Opportunities for Improvement in Patient Engagement and CommunicationRebecca Blankenburg, Joan F Hilton, Patrick Yuan, et al.Journal of the American Medical Informatics Association : JAMIA|October 27, 2020
OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated casesAndre Kumar, Rachael C Aikens, Jason Hom, et al.Journal of Hospital Medicine|February 3, 2018
Lean-Based Redesign of Multidisciplinary Rounds on General Medicine ServiceMarlena Kane, Nidhi Rohatgi, Paul Heidenreich, et al.NPJ Digital Medicine|December 5, 2025
A typology of physician input approaches to using AI chatbots for clinical decision-makingRachel Siden, Hannah Kerman, Robert J Gallo, et al.Medrxiv : the Preprint Server for Health Sciences|August 8, 2025
A typology of physician input approaches to using AI chatbots for clinical decision-making: a mixed methods studyRachel Siden, Hannah Kerman, Robert J Gallo, et al.Pageof 8