Description: Excel file containing extracts of utilization and costs for chiropractic and acupunture - males. From a research project examining the utility of standard eligibility and claims extracts for complementary and alternative medical therapies - CAM analysis.

Description: This article provides an overview of behavioral economic theory as it relates to health and welfare insurance plans and provides summaries of two sample applications of the theories: enrollment in health insurance exchanges created by the Patient Protection and Affordable Care Act, and product design considerations in light of vast health illiteracy.

Description: Excel file containing extracts of utilization and costs for chiropractic and acupunture - all members combined. From a research project examining the utility of standard eligibility and claims extracts for complementary and alternative medical therapies - CAM analysis.

Description: Editor of the newsletter addresses the readership and talks about the U.S. health care policy and the interactive software tool CHAT, a different approach to benefit design involving trade-offs. Issue No 59

Description: This presentation introduces the concepts and methods of trend analysis and a developed an Excel Software package for trend analysis.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: In the evolving realm of healthcare actuarial practice, value-based contracts are reshaping the landscape. This article explores the pivotal role of AI-enhanced Electronic Medical Records (EMRs) in empowering actuaries to navigate this dynamic sector. Despite challenges in data standardization, AI-enhanced EMRs offer a solution by extracting and standardizing diverse medical records. The article delineates how AI-EMR integration benefits actuaries and provider organizations, enabling more accurate forecasting, earlier shared savings prepayments, and real-time quality metric aggregation. Moreover, it discusses how this fusion addresses historical data limitations, can help project catastrophic claims, and can help identify risk score capture opportunities. Ultimately, it indicates the transformative potential of AI-EMR synergy, positioning actuaries at the forefront of healthcare analytics with unprecedented precision and insight.

Description: This session discussion is about state-mandated health benefits. Who should decide and who should pay? The basis of making decisions, effect on insurance rates, impact on self-insurance, legislative process and timing of savings. From Record of Society of Actuaries Vol. 16, No. 1.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.