AI and Predictive Analytics in TCM: How HealthArc Is Shaping the Future of Post-Discharge Care
In the world of value-based healthcare, data isn’t just information — it’s foresight. Every discharge, vital reading, and follow-up note holds signals that can predict patient outcomes. But without the right technology, those signals remain hidden. That’s where Artificial Intelligence (AI) and predictive analytics redefine Transitional Care Management (TCM) . By using automation and machine learning, HealthArc transforms post-discharge workflows from reactive to proactive — helping providers anticipate complications, reduce readmissions, and prioritize outreach for patients who need it most. The Shift from Reactive to Predictive Care Traditional TCM follows a structured but linear process: contact within two days, schedule visits, document care, and bill under CPT 99495 / 99496 . While that ensures compliance, it doesn’t identify who is most likely to relapse or which interventions will have the biggest impact. Predictive analytics changes this paradigm by using real-time ...