Keim-Malpass, Jessica


Artificial Intelligence Tools to Improve Provider Effectiveness and Patient Outcomes

Event Date
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Artificial intelligence (AI) consistently ranks as the most exciting emerging technology among clinicians, healthcare executives, and researchers, due to its potential to transform healthcare delivery. AI is becoming increasingly important for its potential to enhance clinician productivity, improve quality of care, and increase patients’ engagement in their own care. It also has the potential to streamline patient access to care and personalize medical treatments by leveraging analytics to mine significant, previously untapped stores of unstructured clinical data.

Predictive Monitoring: IMPact of Real-Time Predictive Monitoring in Acute Care Cardiology Trial (PM-IMPACCT)

Description

This research evaluates an artificial intelligence risk predictive tool called CoMET that uses visual outputs of patient data to serve as an early warning system for patients at risk of cardiac decompensation to allow for earlier intervention and reduction in morbidity and mortality.

Grant Number
R01 HS028803