Buxton-Data Analytics that Help Healthcare Organizations Reach New Potential
Colossal data volume is one of the salient aspects of population management. If unlocked, healthcare and public sector organizations can
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population
Essentia’s Population Health Strategy for its community
By Debbie Welle-Powell, Chief Population Health Officer, Essentia Health Essentia Health’s Population Health Strategy begins with our Mission of “We
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Strategy aligned with risk & financial modeling to balance between FFS (Fee-For-Service) and VBC (Value-Based Care) agreements
By Jennifer a Houlihan, VP Value-Based Care & Population Health, Atrium Health Wake Forest Baptist Health systems are pacing their
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Telehealth: Leading path towards true patient-centric care
By Pavan Attur, CIO, Hudson Regional Hospital COVID-19 has a significant impact on all industries and mainly healthcare. Many lives
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Advancing Pediatric Population Health, Powered by Technology
By Kara Odom Walker, MD, MPH, MSHS, SVP & Chief Population Health Officer, Nemours Children’s Health System America’s children are
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Bold Goals 2030 – Population Health for a community in need!
By Douglas A. Spotts, Chief Health Officer, Meritus Health Meritus Health, a 275-bed independent hospital in Hagerstown, Maryland with a
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The Face of Population Health
By Charleeda Redman, VP Strategy Integration, Children’s Hospital of Philadelphia A definition proposed by David Kindig and Greg Stoddart in
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Using values-based communications to improve patient response
By Tyler Wilson, VP of Population Health and Clinical Quality, Austin Regional Clinic Austin Regional Clinic, in conjunction with health
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Emerging Technologies Offer Hope for Improving Access to Autism Intervention
By Boyd H. Mark, Director of Telehealth, Scott Center for Autism Treatment Telehealth Program Autism spectrum disorder, or ASD, affects
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The Unmet Promise of Artificial Intelligence in Population Health
Without a foundation of consistency in the collection, a consistency in definition, and consistency in metrics, artificial intelligence within healthcare is a free-floating mass of inconsistent teaching material. No strength in computing or programming can overcome bad data. On the road to meeting the promise of AI in healthcare to improve population health, we must collectively work to ensure that our teaching data is clear, defined, and with visible outcome metrics, whether quality, efficiency, or even costs.
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