Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: The SOA IDEC is conducting a study on incidence and claim terminations. Companies willing to contribute data covering the time period of 2006-15.

Description: Appendixes for the Evaluating ACO Efficiency: Risk Adjustment within Episodes study. The study aims to answer the question of how much of an episode’s cost and use of specific services can be attributed to the patient’s own health status, as opposed to being driven by other factors such as the care setting, patient preference, and provider practice patterns. In other words, do episode costs vary so widely because of patient characteristics, including health status, or are they related to other, nonclinical factors?

Description: Healthcare costs have been rising faster than general inflation for many years. Early models that predicted this past pattern projected healthcare expenditure growth that continued to outpace total expenditure growth leading to the fallacious position that the whole of the US economy would ultimately be consumed by healthcare. The Society of Actuaries' Pension Section and Health Section Research teams commissioned Professor Thomas E. Getzen of Temple University to construct a resource model for the projection of long term healthcare cost trends that includes capacity constraints to ensure the long-term projection is rational. The motivation for creation of the model was driven by its potential usage as a resource for the estimation of reportable liabilities for retiree healthcare benefits as specified under FAS 106 and GASB 45 accounting statements. This is a zip file containing the following: 1. A background paper on the creation of the health trend model, 2. The model, programmed in Microsoft Excel [xls format], that projects per-person expenditures and growth rates through 2099 using baseline assumptions, but also permits the flexibility for user–inputted alternative assumptions, and 3. Technical documentation providing transparency and support for the ultimate results.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.