Description: On March 6, 2023, The Wall Street Journal hosted its Health Forum, a hybrid all-day event. The virtual meeting featured 11 different events. This white paper focuses on those events. The sessions were informative and fast-paced, with each one providing a quick hit of relevant and cutting-edge information around health care.

Description: This document provides key findings from the 2007 Risks and Process of Retirement Survey related to health and long-term care risks in retirement.

Description: On March 6, 2023, The Wall Street Journal hosted its Health Forum, a hybrid all-day event. The virtual meeting featured 11 different events. This white paper focuses on those events. The sessions were informative and fast-paced, with each one providing a quick hit of relevant and cutting-edge information around health care.

Description: This 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: An analysis of prescription drug use in the Kansas individual market

Description: Using the Health Care Cost Institute (HCCI) database, we examined which characteristics best predict and describe high-cost members.

Description: Using the Health Care Cost Institute (HCCI) database, we examined which characteristics best predict and describe high-cost members.

Description: This is a final report to help individual health plans evaluate and manage their potential exposure during a specific pandemic. It examines the potential impact of pandemic influenza on different payers in the U.S. health care system.

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: This paper highlights the menace of overweight and obesity which are on the rise. Health care systems and insurance industries are directly affected. Liability claims are on waiting. The food related damage claims are costly. Insurers are therefore driven to find a solution: classify overweight and obesity as a group, adjust their premium to reflect the cost, and justify the classification and the adjustments.