Readmission Avoidance and Patient Readmission Management

Catalyst doesn't hand your care team another retrospective readmission report. It takes a proactive, real-time approach to post-discharge care, analyzing structured data (demographics, lab results) alongside unstructured information (clinical notes, discharge summaries) to deliver actionable insights. A Recommendation First System produces personalized discharge instructions and follow-up plans tied to each patient's predicted readmission risk. A Semantic Knowledge Graph integrates patient records, physician notes, and social determinants of health, and continuous learning sharpens predictions against actual outcomes. It is built for healthcare compliance — secure, scalable, and regulation-aware — so the planner leaves the room with a follow-up plan tuned to this patient, not a generic checklist.