Population Health Analytics empowers healthcare organizations with advanced analytics and customizable dashboards, offering real-time insights into key metrics such as quality, risk, cost, and utilization to drive whole-person care. The solution supports essential quality measures, including HEDIS, AMP, CMS, eCQM, PQA, and UDS, while providing robust tools for member-level, utilization, and risk assessments. The solution also helps organizations improve clinical documentation through advanced coding recapture and suspected condition identification, backed by confidence scores. With proprietary predictive models, it addresses unplanned readmissions, preventable hospitalizations, avoidable ED visits, and rising risk management. The AI-powered risk stratification and customizable dashboards provide out-of-the-box cost reduction recommendations, including chase lists based on factors like Social Determinants of Health (SDoH), predictive models, the Member-level Social Vulnerability Index (SVI), and JHU ACG’s Patient Need Groups and Care Modifiers. These insights enable teams to effectively prioritize care interventions, close gaps, and improve population health management, all while enhancing both clinical and financial outcomes.
From demographics to measures to attributions and much more, InAPI has all of it covered under its vast library of APIs to support any operation. Make your organization truly interoperable and transform your healthcare data into actionable insights with healthcares most advanced data integration engine.