Medicare Chronic Care Revenue & VBC FAQ Guide

APCM workflows utilize AI-driven outreach to identify and schedule patients for missing preventative services. By automating the identification of care gaps, practices ensure higher performance on quality scorecards for MSSP and MIPS reporting without manual chart audits.

Frequent interactions through APCM allow for more accurate and timely documentation of chronic conditions. This leads to more precise HCC coding, ensuring that the practice receives appropriate risk-adjusted payments that reflect the true complexity of their patient population.

By identifying rising-risk patients through automated triage and symptom monitoring, AI prevents expensive acute escalations. Early intervention keeps patients in the outpatient setting, preserving the shared savings pool for the practice and the ACO.

Automated, personalized reminders and low-friction communication channels significantly increase patient enrollment and retention. AI can reach patients at their preferred times, overcoming the barriers of traditional telephonic outreach and increasing the billable patient population.

Modern AI solutions sync call data, patient responses, and care notes directly into the EMR. This integration streamlines the reporting process for MIPS and MSSP quality measures, ensuring that clinical data is captured accurately for both billing and performance review.

AI must be used to augment clinical staff rather than replace clinical judgment. CMS requires that AI-driven workflows facilitate patient access and data gathering, while ensuring that complex clinical decisions are escalated to qualified healthcare professionals for final review.