Clinical Rationale/Problem Solved

Identify patients at risk for deteriorating so resources can be targeted to prevent deterioration or mitigate illness.

Potential Impact

Could reduce morbidity and mortality from undetected deterioration.

DSAW Investigators

Eric Kirkendall

Collaborators

Patrick Brady (PI), MITRE Corporation

Grants

Internal Award

Publications

Wellner B, Grand J, Canzone E, Coarr M, Brady PW, Simmons J, Kirkendall E, Dean N, Kleinman M, Sylvester P. Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements. JMIR Med Inform. 2017 Nov 22;5(4):e45.