Description: A Discussion of why female mortality is higher than male mortality at higher ages.

Description: Read the March 2017 issue of Health Watch, published by the Health Section. Practical information for actuaries, articles impact sections, section activities.

Description: Read the June 2018 issue of Health Watch, published by the Health Section. Practical information for actuaries, articles impact sections, section activities.

Description: Read the February 2018 issue of Health Watch, published by the Health Section. Practical information for actuaries, articles impact sections, section activities.

Description: Read the June 2017 issue of Health Watch, published by the Health Section. Practical information for actuaries, articles impact sections, section activities.

Description: Read the October 2018 issue of Health Watch, published by the Health Section. Practical information for actuaries, articles impact sections, section activities.

Description: Read the October 2017 issue of Health Watch, published by the Health Section. Practical information for actuaries, articles impact sections, section activities.

Description: Mental health spending has reached $147 billion in the United States with demand only increasing greatly impacting society as nearly 1 in 5 experience these issues. There are even more indirect costs associated with mental health causing a national crisis surpassing 1 percent of the GDP. These costs coupled with the severe lack of licensed clinicians calls for an innovative solution. Through years of development and completion of a randomized controlled trial, Prevail has built and validated a low-cost, scalable solution. Prevail's clinically proven digital mental health treatment provides increased access to care while reducing overall health costs. Private and public payors should being reimbursing this model and offering it to their members.

Description: This article describes methodologies for detection and deterrence of Medicare fraud. It also describes the validation of PRIDIT for fraud detection in Medicare.

Description: We highlight a new approach leveraging predictive analytics to identify high risk and rising risk opioid users for more effective screening and follow-up care.