Orlando Health Improves Physician Documentation Accuracy by 28% helping save an additional $900K

Orlando Health—Florida’s largest Clinically Integrated Network (CIN)—partnered with Innovaccer to unify patient data, deliver actionable point-of-care insights, and improve patient engagement across both employed and affiliated practices. With over 9,000 providers and 350,000 lives under management, the health system needed a scalable solution to support real-time decision-making across disparate EHRs and patient populations. By deploying Innovaccer’s InNote and Patient Outreach solutions, Orlando Health enabled its providers to improve documentation, close care gaps more effectively, and proactively engage at-risk patients. These improvements ultimately enhanced Orlando’s healthcare outcomes and captured additional revenue for the network. What does this case study uncover?

How Orlando Health Boosted Patient Engagement to 86%

Orlando Health leveraged technology to improve patient engagement to 86% with outreach campaigns resulting in nearly 3,000 additional annual wellness and breast cancer screenings, and delivering $907K in incremental revenue for the health system.

How the Innovaccer Platform Unifies Data Across 90+ Feeds

The Innovaccer platform helps Orlando Health unify data from over 90 clinical, claims, and ADT feeds, supporting seamless integration across Epic and 40+ disparate ambulatory EHRs used by affiliated practices.

How Orlando Health Bridges Data Gaps in Value-Based Care

Orlando Health utilized Innovaccer to bridge critical data gaps, enhance documentation, and improve performance across value-based contracts—despite limited real-time visibility into patient records at affiliated practices.

InNote and Patient Outreach: Built With Providers

InNote and Patient Outreach were developed in collaboration with providers to ensure seamless workflow integration—leading to higher adoption and meaningful outcomes across the network. Discover how Orlando and Innovaccer are shaping the future of healthcare through data-driven transformation.