Description: In an effort to build a bridge between epidemiological and actuarial modeling, this paper analyzes possible financial arrangements made against expenses resulted from medical treatments given to insured patients. Based on classical compartment models, the first part of this paper designs insurance policies for susceptible participants facing the risk of infection and formulates the financial obligations of both parties using actuarial methodology. For practical purposes, the second part employs a variety of numerical methods for calculating premiums and reserves. The last part illustrates the methods by designing insurance products for the Great Plague in Eyam and the SARS Epidemic in Hong Kong.

Description: A new health insurance pricing model takes external market prices into account, as well as regulatory rate restrictions and other traditional pricing factors. Rather than being assumed at the outset, lapse rates emerge from the model, along with assessment spiral & loss ratio projections. Under the model optimal pricing strategy depends on whether the class being rated has a healthier than average mix of risks.

Description: A physician discusses white matter lesions on the brain - their nature, causes, severity, importance, associated risks, and underwriting implications for long term care insurance.

Description: Presented at Living to 100 Symposium, January 2011. This paper first explores the current state and contributing causes of obesity. It then explores the mortality and health care costs of obesity. It ends with a discussion of its management.

Description: Chapter 6 identifies four general and practical considerations in comparing methods: practicality and administrative cost, ability to restrict manipulation, timeliness and predictability, and incentives for efficiency and quality care. From A Comparative Analysis of Methods of Health Risk Assessment, M-HB96-1.

Description: Table from an article in The Actuary Magazine on an analysis of risk management terminology: your guide to speaking ERM with different industries. Volume 4, Issue 6

Description: A summary of pathology, risk factors, treatments, public health issues, and economic costs of Alzheimer's Disease.

Description: The advent of machine learning algorithms has taken predictive analytics and risk scoring to a new level. From gradient boosting machines to k-nearest neighbors regression, the use of these techniques has gained significant traction in healthcare - including health systems like the Cleveland Clinic. This session will discuss the use of predictive analytics to go beyond just assessing the risk of a patient, and instead focus on prescribing a specific intervention of care. In practice, the recommendation of a care plan goes beyond just attributing a score to a patient. It provides physicians and care coordinators the most probabilistic options - e.g. referral to social worker, depression screening, weight-loss program - for positively impacting a patient's future healthcare outcome.

Description: Managed Care Risk-Based Capital new formula for HMOs and BCBS plans, modification of disability income, LTC and stop loss factors, market uses of RBC, company use of RBC Issue No. 37.