Description: Artificial intelligence (AI) and Machine Learning (ML) are accelerating us into the fourth industrial revolution. In the next few years technological change and innovation will be rapid. The implications of AI on the actuarial profession are real and game changing. This session will help health actuaries understand what to expect from AI, how to begin using AI, and how AI will dramatically enhance the actuarial profession in the near future.

Description: Underwriting is one of several areas in the insurance industry being impacted by insurtech. In this session, we will hear from experienced experts in underwriting transformation. Digitization, machine learning and other approaches are among topics to be discussed.

Description: The proposed session will introduce Outcome Based Risk Sharing Arrangements (“OBRSA”) between health insurance payers (“payers”, including insurance companies, health plans, sponsored employers, and government programs) and pharmaceutical manufacturers (“pharma”), and it’s intended to meet the needs of actuaries who focus on pharmacy benefits and risk sharing arrangements. The covered content will include (1) the background of OBRSAs, definitions, stakeholders, and OBRSA’s role in shifting the system from volume-based toward value-based; (2) conflicting perspectives about OBRSAs between payers and pharma (cultural and methodological); (3) identification of incentive gaps between payers and pharma, and incentive alignment between them; (4) barriers to implement OBRSAs; (5) limitations and considerations of OBRSA implementation; and (5) hypothetic OBRSA examples.