Description: This is a brief report that summarizes recent changes in the prevalent medical loss ratio methodologies and also looks at some of the more recent experience of health insurers that filed medical loss ratio reports.

Description: Through the sponsorship of the Robert Wood Johnson Foundation, The Society of Actuaries partnered with Wakely to use their health care data to study the effects of COVID-19 on overall health care claims for individuals with a COVID-19 diagnosis. The conclusion of the study is that individuals with COVID-19 claims had significant increases in health care costs leading up to their months of diagnosis, as well as in the months following their diagnosis. These effects were more pronounced for individuals who were hospitalized due to COVID-19 as well as for individuals with prior co-morbidities. Finally, the overall health care costs of these members plateaued at significantly higher levels than their pre-COVID baselines. In fact, all the main membership cohorts experienced claim levels that were at least 20% higher than their pre-COVID starting points.

Description: This report outlines a framework for interpretable machine learning algorithms for detecting fraud in health insurance. It discusses the challenges of using black-box machine learning models in the insurance industry and proposes various interpretable methods to enhance transparency and understanding.