In this AI in Action webinar, Dr. Cesar Termulo, Jr. and Dr. Yolande Pengetnze 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.
SPEAKERs
Yolande Pengetnze, MD, MS | Vice President, Clinical Leadership, Parkland Center for Clinical Innovation (PCCI)
Dr. Yolande Pengetnze (pronounced Pen-Get-Zeh) is a pediatrician, physician scientist and VP of Clinical Leadership at PCCI, with more than 25-year experience in clinical and healthcare leadership, leveraging advanced analytics, technological innovation, and care transformation to promote community health equity.
Cesar Termulo, Jr., MD | Associate Medical Director, Parkland Hospital
As Associate Medical Director at Parkland Health Community-Oriented Outpatient Clinics (COPC), Dr. Termulo strives to work within public health systems from both a front-line and administrative position to improve community health. Dr. Termulo provides medical leadership over the Central and Eastern Regions of COPC (Community-Oriented Primary Care) of Parkland Health. The Parkland COPC network is the largest public ambulatory primary care system in Dallas, serving a large population of diverse, low-income patients. He also serves as Chair of the Pediatric Quality Committee, which establishes system-wide processes to improve care.
With insight into the administrative needs and culture of Parkland’s facilities, Dr. Termulo facilitates collaboration and communication among the targeted primary care clinics and providers.
This webinar was part of AI in Action: Practical Applications for Safety Net Providers — a monthly Zoom series co-hosted by Center for Care Innovations and Health AI Partnership, which 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.
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