Description: This article summarizes some of the operational considerations necessary to optimize the usefulness and impact of a predictive model, such as cross-functional support and involvement in model build, adequate training and reporting, and strategic model build.

Description: An article by the Health Section's Medicaid Subgroup, providing a national perspective on what is happening in the market.

Description: Article by the Health Section's chairperson.

Description: A January 25, 2015 ruling by the US Supreme Court regarding retiree health benefits is the topical springboard for the author to discuss the history and future of retiree health benefits. Topics include actuarial valuation of uncertain benefits using discount rates with risk adjustments derived from equity investment markets.

Description: Mental health spending has reached $147 billion in the United States with demand only increasing greatly impacting society as nearly 1 in 5 experience these issues. There are even more indirect costs associated with mental health causing a national crisis surpassing 1 percent of the GDP. These costs coupled with the severe lack of licensed clinicians calls for an innovative solution. Through years of development and completion of a randomized controlled trial, Prevail has built and validated a low-cost, scalable solution. Prevail's clinically proven digital mental health treatment provides increased access to care while reducing overall health costs. Private and public payors should being reimbursing this model and offering it to their members.

Description: Health care predictive analytics varies between payers and providers as well as being a powerful tool in business decision modeling.

Description: Overview of plans designed to cover out-of-pocket medical costs as a supplement to major medical coverage.

Description: Savings from biosimilars have accelerated significantly in the past few years. There has been a number of relatively recent biosimilar launches that can help to shape our expectations of the financial impact that could result from this year’s big event. Savings from biosimilars have accelerated significantly in the past few years. There has been a number of relatively recent biosimilar launches that can help to shape our expectations of the financial impact that could result from this year’s big event.

Description: This Q&A article discusses the use of machine learning to analyze unstructured data. Supriya Ramachandra, a data scientist at SIKKA, explains how her team uses natural language processing techniques, technical aspects of neural networks, LSTM modeling, and natural language processing. Machine learning allows for the classification of large amounts of unorganized data, providing actionable information for actuaries.

Description: Summary of lessons learned from Health Insurer Chief Actuaries' prior economic recession experience and suggestions for those leading Health insurers through future recessions