Using Predictive Analytics to Save Lives

HIMSS18: Data Interoperability to Reduce Clinician Burden

Tuesday, March 6, 2018, 4:30PM–4:50PM PT
Location: FHISP, Hall G, Booth 10219; Session FH14

Johns Hopkins University and MITRE will discuss new research and technology — developed in partnership with doctors and hospitals — that apply machine learning and predictive analytics on clinical data to identify adverse events, reduce medication errors, and accelerate identification of mental health and substance abuse (e.g., opioid) risk factors.

MEET the Experts

Jay Schnitzer, MD

Introduction, VP, Chief Technology Officer
MITRE

Sybil Klaus

Speaker, Health Innovation Lead, M.D., M.P.H.
MITRE

James Fackler

Co-Speaker, Associate Professor in Anesthesiology and Critical Care
Johns Hopkins University School of Medicine

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