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

Description: Medical management programs have traditionally addressed more acute and short-term issues with chronic disease. As LTC becomes an important product in the insurance industry, including disease management is likely to be valuable for reducing costs and prolonging the healthy, premium-paying portion of a claimant's life.

Description: Summary of testimony by an AAA Board member before a congressional subcommittee, as an expert on risk assessment and adjustment, especially in relation to Medicare risk contracting and HMO payments. She recommended: mitigating the geographical region values, credibility weights for payments to health plans, carving out high cost claim segments, reengineering the ACR methodology, shifting AAPCC methodology from fee-for-service toward competitive bidding, and further projects to improve risk methods.

Description: Table from an article in The Actuary Magazine on an analysis of risk management terminology: your guide to speaking ERM with different industries. Volumn 4, Issue 6

Description: Introduction to additional actuarial research into development of and regulatory impact, economic impact and consumer impact of prescription drugs in the United States. Intended to further educate actuaries and others who work in this area and motivate more actuarial involvement to increase transparency, increase competition, better align stakeholder incentives and better mitigate total cost of care increases

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: An interview with Jim Toole, lead researcher for SOA's pandemic research project. The project examines pandemic influenza and its implications to the life and health insurance industry.

Description: In this interview Dr. Reinhardt shares his thoughts on the role he believes actuaries should take in the health care system reforms.

Description: This article shows how COVID-19 affected retirement risks, and how retirement planning was impacted by COVID-19. It ties together COVID-19 and its economic consequences with results of two recent consumer surveys that examine retirement risk perceptions and financial well being and a more complete discussion of retirement risks. The Managing Post-Retirement Risks guide divided retirement risks into economic risks, risks and personal planning considerations, and unexpected and unpredictable events. Each of the risks discussed in the guide is discussed in the article with commentary on COVID-19 and its impact, and information about how to manage the risk. For each risk, there is information provided about any insights gained in the two surveys. Results of the two surveys linked to COVID-19 are also discussed.

Description: The recent outbreak of the Zika virus (ZIKV) in Brazil and in at least 29 other countries and territories is a stark reminder of the risks associated with new, emerging and reemerging infectious diseases. This article is intended to provide essential background information on the Zika virus in order to assist insurers’ understanding and risk assessment of the situation. Insurers must continually stay abreast of these risks and rapidly assess the potential impact on morbidity and mortality – often with only preliminary scientific or actuarial data