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

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

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: As carriers have learned over the last two decades, Long-Term Care insurance (LTCi) is a risky business. The intent of this paper is to illustrate how these risks can be better understood through modeling the liabilities using a Monte Carlo simulation approach.

Description: The paper traces the history of government-sponsored hospital and medical care schemes from their beginnings in the Prairie Provinces prior to World War I to the present day. Particular attention is paid to the Health Charter for Canadians. From Transactions of Society of Actuaries 1982, Vol. 34.

Description: A study of whether tobacco, area and industry rating in one state may be reflecting unintended factors such as race, ethnicity or socioeconomic status. This study does not consider whether the rating factors accurately reflect underlying claims costs.

Description: This paper addresses specific details of measurement principles and practice that the actuary should consider when planning to conduct or review a study of care management interventions. Three major topics are covered: Measurement Principles, Study Design Issues, and Risk Factors. Paper 2 of an 8 paper series on 'An Introduction to Care Management Interventions and Their Implications for Actuaries'

Description: This paper develops a parametric model for health care insurance claims to fit parametric models to the data. Model selection is based on the ChJ-squared goodness-of-fit test and a comparison of the empirical limited expected value function to parametric limited expected value functions. A copula function was used to model the bivariate portion of the data. From Actuarial Research Clearing House 1993, VOL. 3.