February 2020
How COPE Health Solutions is Transforming Health Care
Improving Social Determinants of Health Data Collection for Patient-Centered Care
Improving the data collection methods precisely for SDOH and targeted patient intervention must become a priority for health care organizations moving forward. The data collected provides insight and valuable information required for patient stratification and initiative design.

Read the article by Yomi Ajao and
Paul Amajor, MD.
read more
FQHC and FQHC Look-Alike Programs: Key Differences and Criteria for Designation
Because of their close community integration, FQHCs, along with community based organizations, play a critical role in successful population health management by addressing the enormous impact of social determinants of health.

Read the article by Sarin Khachatourians and Kathy Walker.
read more
Despite Threats to the ACA, It is Time to Plan Long-Term
The Affordable Care Act has survived a decade despite Congressional attempts to repeal it. Success will depend on providers and health plans selecting partners to grow market share, reduce medical and administrative cost and improve quality.

Read the article by Allen Miller and
Cindy Ehnes, Esq..
read more
Sign up today for our upcoming teleconference with the Scottsdale Institute!

Using Self-Insured Data as a Foundation for Value-based Payment Strategy at Adventist Health

March 18, 2020

1 PM - 2 PM CDT

As CMS and employers continue to push for more premium risk contracts and value-based payment, a key to success is to gain access to accurate data on the total cost of care for attributed or assigned membership. This enables provider networks taking risk to proactively ensure access to the right care and education for populations while managing global cost and improving outcomes. There is a growing understanding that building the capabilities to understand and better manage health for a health system’s own self-insured employees and families is highly translatable to other populations and payers, including other employers for direct-to-employer strategies.

By leveraging employee utilization and cost and outcomes data, health systems can optimize their network with relation to specific provider and service types; understand patterns of care to improve convenience and employee satisfaction scores; and improve quality and health outcomes. Health systems should thus strongly consider either launching or strengthening their value-based payment transformation by leveraging their self-insured plan as a key “payer” for which they begin to understand how to analyze and understand claims and related data and to develop and launch population health management infrastructure.

In this session, led by John Beaman and Allen Miller, we explore a case study in which Adventist Health has leveraged the claims data for its employee health plan and explain how this data, resultant initiatives and lessons learned are being used as a foundation for a larger value-based payment strategy.
John Beaman
Chief Business Officer
Adventist Health
Allen Miller
Principal & CEO
COPE Health Solutions
This teleconference and its materials are available to Scottsdale Institute members only.
Featured Articles
Featured Articles
Did you miss our top articles from previous editions of Health Insights? Read them now!
2020 Healthcare Forecast: 4 Key Trends and 10 Essential Strategies
Population Health and the AMC Chase- Five Hurdles to Value-Based Care
Medicare Advantage Value-based Insurance Design Model: Should You Apply?
Awards and Recognitions
Ranked #19 among the 20 largest health care consulting firms of 2019 by Modern Healthcare
Placed at #21 in Consulting Magazine’s 2018 ranking of fastest-growing consulting firms
Listed as one of the population health management companies to know in 2018 and 2019 by Becker’s Hospital Review
About us
COPE Health Solutions is a national mission-driven consulting firm that partners with health systems and payors to develop and implement comprehensive population health management and workforce development strategies.
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