American Medical Informatics Association (AMIA) 2020

INTEGRATING RESEARCH, CLINICAL DECISION SUPPORT, POPULATION HEALTH, AND QUALITY MEASUREMENT WITHIN A LEARNING HEALTH SYSTEM

Systems demonstration presented by Dr. Saverio Maviglia

November 16, 2020 | 2PM - 3:30PM EDT

Ideally, clinical decision support (CDS), population health management (PHM) interventions, and electronic quality measures (eCQMs) are based on scientific evidence about how a treatment or process affects a set of patients. A common element linking evidence to relevant CDS/PHM interventions and eCQMs is the specification of patients being targeted. The better that the inclusion/exclusion criteria of the research studies match those of the measure, and match the criteria of the CDS and PHM interventions, the more likely that the interventions will have scientific merit and will promote the goals of the measure. This system demonstration will highlight how a common approach to define patient cohorts is a key strategy to create a learning health system that integrates research, care, and quality efforts.