Description: Unmet needs and implications for long-term care financing in Singapore.

Description: This research report provides an evaluation and synthesis of the methodologies and data samples used on characterizing health care fraud.

Description: In the United States, individuals needing long-term services and supports (LTSS) access care, utilize services, and pay for their services in various ways. The authors explore how the need for, utilization of and payment for long-term services and supports differ in the U.S. by population cohorts. Their primary focus is disparity by race and ethnicity, but they also consider variations by geography, family structure, age, sex, gender and other socioeconomic factors.

Description: This study provides valuable insights for insurance companies that are considering entering the market of commercial long-term care insurance (LTCI) in the Asia-Pacific markets.

Description: As part of an upcoming Society of Actuaries (SOA) research release to model health care costs in 2020 and 2021, a set of “Return Stages” were created in order to define the various level of activities being observed, as well as to contemplate the ways these stages may progress as various cities, counties and states release their own phasing processes for returning their jurisdictions to normal.

Description: The Society of Actuaries (SOA) retained Milliman, Inc. (Milliman) to conduct a survey on the impact of COVID-19 on long-term care (LTC) insurance mortality, voluntary lapse, and morbidity experience. The results of this survey, which was conducted from August 2021 through September 2021, are presented in this report.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: Long Term Care Think Tank: Exploring the possibilities for helping the American public manage the financial burden of long term care. This report shares the output of a 1.5 day structured brainstorming session involving some of the LTC industry’s preeminent thought leaders. Ideas presented here are intended to help transform the delivery, accessibility, and financing of long term care.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: This report pulls together various findings on long-term care research from the 2017 Risks and Process in Retirement Survey as well as other SOA research.