PICTURE: Rapid Response Team (RRT)

Project Description

PICTURE is a suite of machine learning algorithms that utilizes electronic health record (EHR) data to predict patient deterioration in hospital settings. This iteration of the model is providing insight to the RTT Team to priortize patient treatment.

PI(s)

Sardar Ansari, PhD
Kevin Ward, MD

Value Proposition

Early detection of patient deterioration has been found to lead to reduced mortality risk, reduced length-of-stay and decreased hospital costs, yet identifying patient deterioration is a challenge for clinicians. PICTURE’s Adult RRT Analytic is a combination of machine learning algorithms utilizing electronic health record (EHR) data to passively and accurately predict ICU transfer or death as a proxy for patient deterioration. PICTURE also provides explanations for every single prediction, adding transparency to the model and how it calculated its output. This transparency is invaluable to clinicians who can use these explanations to guide decisions around patient care.

Intellectual Property

Invention Disclosure # 2019-094, 2021-244, 2021-245, 2021-250, 2021-251
Patent Issued: #11587977

Digital Health Innovation Support

Digital Health Innovation supported the Weil Institute by hosting the model and developing the data pipeline needed to pass data into the model and to display results for the Rapid Response Team.

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PICTURE: Pediatric General Floor Deterioration Prediction

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DETECT ARDS