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

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: Bellagos Care Level Transition Matrix. Excel spreadsheet for 2018 Student Case Study Challenge.

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

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: The Society of Actuaries has developed and released a health care forecast model to illustrate the potential impact of the COVID-19 outbreak on insurance plan health care costs in the United States. Users of the model may include insurance company actuaries seeking an additional reference point for 2021 cost development, regulatory actuaries seeking additional insights and validation of costs as part of rating submissions for 2021, and insurance purchasers seeking a deeper understanding of the forces driving 2021 health care costs and premiums. The model is not intended as a replacement for existing modeling tools developed by insurers or regulators. Rather, the model’s primary purpose is to illustrate the key outbreak-related forces that are affecting the trajectory of health care costs. In addition the model can provide a common reference point to facilitate dialogue with respect to the regulatory review of 2021 health insurance rate filings.

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.

Description: The following report is the first iteration of a project to illustrate international models of health care funding.

Description: The Canadian Institute of Actuaries (CIA) and the Society of Actuaries (SOA) are pleased to make available a resource model that provides long-run (to 2050 and beyond) forecasts of health care spending in Canada.