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

Description: PBMs are positioned in the healthcare delivery system as the only entity that is not regulated for profitability. The Commercial Fully Insured Health Insurance Plans are heavily regulated by the State Insurance Commissioner who allows only 2%-3% profit margin. The self-funded Health Plans are regulated by ERISA fiduciary responsibility that prohibits excessive compensation. PBMs are classed as a service provider and are not regulated by either. This allows PBMs to implement large, unreasonable mark ups for profit. PBMs are massive commercial entities, states are trying to sue under antitrust law. PBMs found a sweet spot in the regulation. Large Insurance Carries understood that and either acquired large PBMs or merged with them. It is likely that a combination of measures will be needed to regulate PBMs. The most direct approach would be for Congress to pass a law establishing PBM as a fiduciary under ERISA just like an “investment advisor” providing advice for a fee. Establishing PBM as a fiduciary will help Courts and other Federal Agencies ensure that PBMs do not unfairly retain rebates and inflate the prices of Rx drugs sold to employer health plans, and the US population in general.

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 article is intended to inform readers about the current state of mental health and health care in the US, as were it's heading moving forward.

Description: This session features a moderated discussion between medical professionals who are experts in long-term care. The presenters are outside the LTC insurance industry altogether, which will ensure that attendees receive a truly external perspective.

Description: Essay where payers desiring to optimize health gains per dollar spent should avoid “across the board” cost sharing, and instead implement a “value based” design that removes barriers/provides incentives to encourage desired behaviors for patients and providers.

Description: This is the second half of a two-part session regarding FASB Targeted Improvement (LDTI) to U.S. GAAP for long durational insurance contracts. Presenters of the session will discuss operational (e.g., data, systems, models and process, etc.) and financial issues concerning the implementation of the accounting changes. We will also discuss interpretation of the new standards specific to accident and health insurance. Throughout the session, we would like to encourage the audience to share their experiences.

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?

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.