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

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

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

Description: Changes introduced by various Medicare Alternative Payment Models and the Medicare Access and CHIP Reauthorization Act (MACRA) have accelerated an existing market trend of shifting some of what has traditionally been considered “insurance risk” to providers. The Provider Risk Sharing Boot Camp will give attendees deeper insights into methods, current thinking, and alternative solutions that actuaries can use to help providers understand and manage the financial and actuarial risks that they are taking, many for the first time.

Description: Discussion and Opinion on how randomness affects measurement of provider contracting risk-sharing agreements

Description: The momentum in value-based care has produced an opportunity for actuaries to become pioneers in health care

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

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