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

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: This paper develops a parametric model for health care insurance claims using currently available software to fit parametric models to the data. Model selection is based on the Chi-squared goodness-of-fit test and a comparison of the empirical limited expected value function to parametric limited expected value functions. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This SOA report describes the components of margin for calculating capitation rates in a Medicaid context along with practical issues that MCOs may face.

Description: Accurate forecasts of future health care expenditures for cohorts of elderly individuals can be especially difficult. Current techniques use average per capita costs, based on local experience, adjusted for the cohort's age, sex, institutionalization, and welfare status distribution. This paper presents a method to adjust such per capita cost estimates to reflect more accurately the likely health status of a particular cohort. The adjustment uses the cause-of-mortality profile in the local population, which is a readily available tabulation known to be highly correlated with a major proportion of total medical care expenditures for people beyond age 65. From Transactions of Society of Actuaries 1984, Vol. 36.

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.