Research
Poster
Visolyr® Agentic Adaptive Intelligence: Clinical AI for Cardiometabolic Health
Authors: Shivangi Das, MSc | Vandana Yadav, MS | Stan Kachnowski, PhD, MPA
Chronic diseases like diabetes, hypertension, and heart disease affect over 133M Americans, driving more than $780B in annual spending. Clinicians face fragmented data, documentation overload, and delayed insights — challenges that reduce efficiency and obstruct timely intervention.
Visolyr® is an AI-enabled clinical navigator powered by Agentic Adaptive Intelligence that synthesizes multimodal data — EMR inputs, labs, SDoH, and imaging — to detect early disease risk and surface actionable guidance in real time. The platform reduces manual documentation, improves decision support, and helps clinicians act sooner to prevent avoidable complications.
HITLAB evaluated Visolyr’s design, clinical utility, and workflow alignment using Nielsen’s usability heuristics and expert review. Findings show strong potential to reduce clinician burden, strengthen population health management, and improve cardiometabolic outcomes through proactive care navigation.