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: Methods and assumptions used in the valuation of savings by external care vendors

Description: This session will explore the national landscape of state Medicaid risk adjustment program design & application and the key differences that drive effective managed care organization program management. Risk adjustment is a mechanism to adjust capitation rates between Managed Care Organizations to account for population morbidity differences. Although many states utilize this mechanism, the application of risk adjustment can vary significantly across states. The primary differences include populations, risk score models and data collection. These state application nuances affect the strategies and tactics utilized by MCOs for effective risk adjustment program management including provider financial alignment, encounter data submission and the capture of accurate diagnosis codes. The session is intended for Medicaid Managed Care Actuaries working to develop or support comprehensive risk adjustment program management functions.

Description: This article describes Medicare Supplement and short-term care products in more detail, and we compare their risk profiles. We explore the concept that these two products—when offered together—may provide a complementary hedge of certain policyholder behavior risks.

Description: Actuaries are leveraging predictive modeling and machine learning more and more as they strive to provide greater value to their stakeholders. Actuarial standards of practice provide guidance around modeling and data. The world has changed significantly over the last few years, so it is important these models be tested for fairness as well as any statistical biases. This article addresses some of the key issues actuaries need to be aware of as Corporations and society work through the responsible us of this technology and underlying data.

Description: 1994 SOA Meeting, San Antonio. This session was about provider network building in nonmetropolitan areas. Question addressed: 1. How can an effective delivery system be built to serve rural areas? 2. What influence will health care reform have on such systems? 3. Does a single-payer system make sense for such populations? 4. How does health care reform impact nonmetropolitan markets?

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: 1994 SOA Meeting, San Antonio. This session on physician reimbursements focused on arrangements that might be offered by managed care companies, such as HMOs. It included an overview of key definitions, concepts, and incentive compensation arrangements.

Description: 1993 SOA Spring Meeting, San Diego. This session is about point-of-service plans, overview of current enrollment statistics/ tends, in-network and out network utilization patterns, trends in benefit design, employer/benefit consulting demands and employee/employer satisfaction.

Description: The article explores how integrating AI into insurer apps can address critical challenges in healthcare, such as patient no-shows, medication adherence, and cost management. These non-disruptive approaches aim to increase the effectiveness of patient interventions and improve medication adherence.