Description: Discussion of how to mature value-based contracts between health insurers and provider organizations to improve population health and financial sustainability. Centers around contract parameter consistency, revenue predictability and risk assessment. Intended audience are health plan and ACO actuaries and leaders. Authors are writing from the provider perspective in value-based contracts.

Description: Healthcare risk adjustment methodologies have become increasingly complex, largely due to the belief that complexity enhances accuracy. However, a disconnect exists between how healthcare risk is assessed and how payments are adjusted. This article explores the stark difference between measuring the accuracy of a risk assessment model at a member level, and that of a risk adjustment mechanism at the health plan level. I show that a highly simplified approach that does not use diagnosis codes can have similar accuracy on risk adjusted payments to models that do. These findings suggest that accuracy is not a barrier to developing simpler risk adjustment methodologies, which can improve payment accuracy and reduce the financial incentive for coding diagnoses.

Description: In 2018, the Financial Accounting Standards Board (FASB) adopted significant revisions to the U.S. GAAP insurance accounting literature, via Accounting Standards Update (ASU) 2018-12. The title of ASU 2018-12 is “Targeted Improvements to the Accounting for Long-Duration Contracts,” and as a result a common acronym for ASU 2018-12 is LDTI (long-duration targeted improvements).

Description: Social determinants of health (SDoH) have been a topic of growing interest in recent years, yet consensus about what the phrase represents and how health-related social needs should be studied or addressed by employers, health plans, providers and other stakeholders in the business of health care have been lacking. For many, low-income populations come to mind when considering the topic, yet SDoH include a wide range of factors beyond income. Many types of data are available, yet each presents distinct challenges and opportunities for analysis. In this article, we describe some of the underlying context for considering SDoH, as well as some of the potential data sources to consult and challenges to grapple with on this important topic.

Description: Two years ago, before COVID-19 changed everything about how we provide and receive health care, telehealth was largely provided by third-party vendors to treat a narrow range of acute one-and-done conditions. The value proposition was simple: a fast and easy member experience would drive satisfaction and engagement; high member satisfaction and engagement would drive health plan savings and member retention. Clearly, from the perspective of utilization, telehealth—as a viable alternative to in-person care during a pandemic—worked. And with COVID-19’s nudge—or was that a push?—toward cultural acceptance, the health care system is in a better position to capitalize on telehealth’s original promise of expanded access, lower cost and better outcomes than it was two years ago. But in the wake of the pandemic, it is just as clear to us that if telehealth is to live up to its full potential, some changes are needed. The rest of this article presents five ideas for improving the delivery of telehealth going forward.

Description: This article details the medical stop-loss coverages purchased by HMOs, small insurers and providers taking delegated financial risk in payor agreements. Along the way we will identify strategies purchasers often use to save money on medical stop-loss.

Description: When designing and pricing a healthcare product, it is not only important to know how to model frequency and severity, but it is essential to understand human behavior. Of course, the issue of anti-selection in medical insurance is well known as individuals know more about their health and prior expenditures than an insurer does. This type of behavior is certainly rational, and to be expected.