REGISTER FOR THIS Webinar 

“AI in Action: Practical Applications for Safety Net Providers” is a monthly Zoom series, co-hosted by Center for Care Innovations, AllianceChicago, and the Health AI Partnership. This series is dedicated to exploring research and implementation of AI based solutions that address the unique challenges and opportunities within Federally Qualified Health Centers and safety net healthcare organizations, promoting equitable access and improved patient outcomes.

Date and Time

Thursday, June 12 at 11:00 AM PT / 2:00 PM ET

Topic

Practical Advice for AI Product Due Diligence for Safety Net Health Care

ABOUT THIS SESSION

Scott Serpa brings his expertise in helping health systems conduct procurement and AI product due diligence. In this session, he will:

  • Discuss the technical evaluations and assessment of AI product capabilities, providing real-world use cases of pitfalls/ learnings.
  • Share insights on conducting operational evaluations to ensure AI solutions fit the problems they aim to solve. Address workflow issues and integration challenges.
  • Explore the ethical considerations in the AI implementation process.

SPEAKER

Scott Serpa
Integration Coordinator / Data Analyst, Coalition of Orange County Community Health Centers (COCCHC)

Scott has spent 7 years developing data solutions in healthcare. With expertise in data science, artificial intelligence, and the nonprofit health sector, Scott plays a key role in managing the data for the Coalition of Orange County Community Health Clinics where he works on data analytics, AI integration, and designing data architectures that identify and predict clinical outcomes. He has spent the last 3 years advising clinics on advancing their understanding of data tools, exploring data-based solutions, and helping to build evaluations for new AI products being used in the sector.

REGISTER NOW

 

…Interested to replay the AI in Action series? Check it out:
  • May 6, 2025 — Lessons Learned from Replicating an AI/ML-Driven Pediatric Asthma Care Model Across Safety Net Settings with Dr. Cesar Termulo, Jr. of Parkland Hospital, and Dr. Yolande Pengetnze, VP of Clinical Leadership at PCCI. They share how an AI/ML-based risk prediction model developed at Parkland Health has supported a successful pediatric asthma care model, improving outcomes for children with asthma. They also explore the process of adapting and implementing this model in two Federally Qualified Health Centers (FQHCs), and reflect on key lessons learned along the way—highlighting what it takes to translate predictive analytics into equitable, real-world care improvements in safety net settings.
  • April 3, 2025 — Leveraging Artificial Intelligence in the FQHC Setting: Lessons Learned in Early Implementation with Dr. Hakeem O. Adeniyi, Jr., Chief Clinical Officer at Sacramento Native American Health Center (SNAHC). This presentation focused on the SNAHC’s experience with incorporating Artificial Intelligence (AI) into their care delivery model to enhance patient care, operational efficiency, and health equity. Dr. Adeniyi covered the journey of integrating AI tools within clinical and administrative workflows, including Remote Patient Monitoring, Chronic Care Management, Behavioral Health Integration, and predictive analytics for population health management. The presentation highlights practical lessons learned from early implementation efforts, including selecting appropriate AI technologies, training clinical and administrative teams, navigating data privacy concerns, and measuring outcomes. Additionally, it explores challenges specific to the FQHC environment, such as budget constraints, interoperability issues, and addressing disparities in technology access. Viewers should gain insights about factors that impact best practices for successful AI adoption, key performance indicators to track progress, and strategies for building partnerships to enhance AI-driven care delivery.
  • March 6, 2025 — Harnessing AI in a Safety Net Hospital with Dr. Yasir Tarabichi, Chief Health AI Officer at MetroHealth. Dr. Tarabichi shared his firsthand experience in a safety net hospital setting. He discussed responsible AI deployment, balancing innovation with equity, and highlighted MetroHealth’s successful use of EHR-based sepsis and no-show models. Dr. Tarabichi emphasized data interoperability and practical strategies for precision population health management, offering actionable insights from a real-world perspective.