Description: As actuaries in health care, we spend most of our time focused on reviewing claims, enrollment and clinical data. That information is captured while patients are in health care facilities. Yet most people spend only a small fraction of their time in these facilities. This article explores what types of data are available to actuaries the provide a more holistic view of the member so that a members physical and emotional needs, the social determinants of health can be taken into consideration along with their clinical needs. Two uses cases are presented so actuaries can see how these types of analyses can be leveraged to improve clinical, operational, and financial performance of risk bearing health entities. Understanding the customer (member) not just the patient enables actuaries to provide new insights and values to our stakeholders across a wide range of business and risk applications.

Description: Yi-Ling Lin, FSA, MAAA, FCA, started the SOA’s Predictive Analytics Certificate Program to keep pace with the impact big data and predictive modeling is having on the health care industry

Description: The presenters will compare and contrast the Canadian public (and, to a lesser extent, private) health care system in juxtaposition to U.S. health care. Specialized knowledge of either system is not required. The presentation will focus on cost containment strategies balanced against effective health care services. Differentiation of strategies, such as wellness and prevention in contrast to diagnosis and treatment, will be discussed.

Description: State Medicaid agencies have been implementing value-based payment (VBP) models for the last decade and are increasingly exploring advanced population-based payment (PBP) models that increase flexibility, predictability, and accountability for participating provider organizations. PBP models show promise in advancing Medicaid priorities, but are still in the early stages of development, and model design and implementation challenges remain. This article from the Center for Health Care Strategies explores the fundamentals of VBP and how PBP - a particular type of payment model - can help Medicaid agencies achieve goals related to care transformation and quality improvement, revenue stability, and controlling cost of care.

Description: Discover the key components of value-based care (VBC) contracts and their impact on provider credibility. Learn about benchmarks, measurement period results, and the unique challenges providers face in managing insurance risk. Gain insights into reducing costs and aligning financial incentives in the US healthcare market.

Description: What is the difference between a Single-Payer and Universal Health Care System, and how could the U.S. implement a system that would reduce the growth of medical costs while increasing quality.

Description: The SOA is pleased to make available a research report providing insight and considerations for the actuarial profession in assessing the potential risk and opportunities of MACRA to both provider and payer organizations.

Description: Early in his career, Ehren Nagel, FSA, MAAA, scoured through podcasts and articles about predictive analytics, long suspecting this was a field with potential for him.

Description: The SOA is pleased to make available a research report providing insight and considerations for the actuarial profession in assessing the potential risk and opportunities of MACRA to both provider and payer organizations.

Description: On average, contracts receiving their first star rating receive 3.20 stars, compared to existing or established contracts receiving 3.90 stars on average. This 0.70 disparity in quality ratings creates significant hardship on new contracts when this lower star rating decreases their payments in the following calendar year. This article explores the disparity in Medicare Advantage Star Ratings between contracts receiving their first star ratings (“New” contracts) and existing contracts, including: 1. Understanding what happens to Medicare Advantage Payments when contracts receive lower star ratings? – What is the Star Rating cliff and why does it matter to new contracts? 2. Explaining when a contract receives their first star rating and how much enrollment this requires – When does the Star Rating cliff occur? 3. Noting which specific star measures “New” contracts struggle with, including those contracts under large parent organizations, contracts with rapid growth, and all other new contracts. – How can my contract avoid the Star Rating cliff?