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Tuesday, January 24 • 2:30pm - 2:55pm
A Wish List for Using Machine Learning to Reduce Patient Misdiagnosis

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Our research shows that at least 1 in 20 US adults are misdiagnosed annually in the outpatient setting and about half of this misdiagnosis is potentially harmful to patients. This is a hard problem to solve because of the complexity of patient care, variation in definitions of “normal” and unique features of data streams used in clinical care.  Several disciplines will need to work together to make progress. This presentation will provide a short glimpse of both technical and non-technical challenges and opportunities for machine learning innovations to impact this area and enable better patient care and outcomes.

avatar for Hardeep Singh

Hardeep Singh

Chief, Michael E. DeBakey VA Medical Center; Director, VA Center of Inquiry to Improve Outpatient Safety through Effective Electronic Communication; Associate Professor, Department of Medicine, Baylor College of Medicine
Hardeep Singh, M.D., M.P.H. is a general internist and Chief of Health Policy, Quality & Informatics Program, Center for Innovations in Quality, Effectiveness and Safety based at the Michael E. DeBakey Veterans Affairs (VA) Medical Center and Baylor College of Medicine, Houston. He leads a portfolio of VA and Agency for Healthcare Research and Quality (AHRQ) funded patient safety research in improving the use of health information... Read More →

Tuesday January 24, 2017 2:30pm - 2:55pm
BioScience Research Collaborative Building 6500 Main Street, Houston, TX 77030-1402

Attendees (2)