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REAL-TIME MONITORING AND CORRECTION OF CLINICAL DECISION SUPPORT SYSTEMS TO REDUCE HEALTH DISPARITIES - PROJECT SUMMARY/ABSTRACT THIS PROJECT DEVELOPS ARTIFICIAL INTELLIGENCE (AI)/MACHINE LEARNING (ML) METHODS THAT PROVI

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REAL-TIME MONITORING AND CORRECTION OF CLINICAL DECISION SUPPORT SYSTEMS TO REDUCE HEALTH DISPARITIES - PROJECT SUMMARY/ABSTRACT THIS PROJECT DEVELOPS ARTIFICIAL INTELLIGENCE (AI)/MACHINE LEARNING (ML) METHODS THAT PROVIDE REAL-TIME MONITORING AND UPDATING OF CLINICAL DECISION SUPPORT (CDS) SYSTEMS IN ORDER TO REDUCE DOWNSTREAM HEALTH DISPARITIES. AS AI/ML SYSTEMS MATURE AND THEIR USE IN CLINICAL DECISION SUPPORT CONTINUES TO GROW, SO DOES THEIR POTENTIAL TO IMPACT HEALTH OUTCOMES ON A POPULATION-WIDE SCALE. A PARTICULAR CONCERN IS THE RELIANCE OF AI/ML DEVELOPMENT ON RETROSPECTIVE PATIENT DAT

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award

region

US

value

2062936

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USD