Building a Scalable Model for AI Driven Quality Improvement
Artificial intelligence (AI) is becoming a useful tool for advancing care quality, reducing adverse events, and supporting clinical teams. At Houston Methodist Hospital, AI-enabled solutions have been integrated into post-discharge care coordination to address the needs of patients at highest risk for complications.
An analysis presented at the NCQA Health Innovation Summit in San Diego, CA, revealed that a small proportion of patients accounted for nearly 70% of 30-day post-discharge deaths. To improve outcomes, Houston Methodist incorporated AI-driven risk stratification, automated chart summaries, and enhanced care navigation into its workflows. By identifying high-risk patients early and prioritizing follow-up within 14 days of discharge, the team achieved higher follow-up rates, reduced readmissions, and lower mortality.
The session featured perspectives from health system and data leaders who played a central role in this initiative. Brenda Campbell, MHA, senior consultant for Health Systems Innovations at Houston Methodist Coordinated Care, provides operational insight into care redesign. Nassib Chamoun, MS, founder and CEO of the Health Data Analytics Institute (HDAI), brings expertise in the development of AI-powered risk models. Zachary Menn, MHA, vice president of population health at Houston Methodist Coordinated Care, offers a population health perspective on implementing sustainable coordination strategies.
Their combined experience highlighted how AI can be aligned with quality improvement goals and embedded into everyday clinical practice. The Houston Methodist model showed not only immediate results in mortality reduction and readmission prevention but also a replicable framework for precision care delivery that strengthens health systems and supports clinicians.
Reference:
NCQA Health Innovation Summit. AI on the Front Lines: Prioritizing timely follow-up for high-risk patients. NCQA; October 13, 2025. Accessed September 29, 2025. https://events.ncqa.org/summit2025/session/3107185/ai-on-the-front-lines-prioritizing-timely-follow-up-for-high-risk-patients