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: The purpose of this study is to evaluate the predictive accuracy of the commercially available claims-based risk assessment tools under different sets of conditions and with different sets of available information.

Description: Introduction sets out the objectives of comparing the predictive accuracy of different risk assessment methods, comparing the different methods based on other criteria, and then examining issues related to high-cost individuals and conditions. From A Comparative Analysis of Methods of Health Risk Assessment, M-HB96-1.

Description: Chapter 8 suggests possible areas for further research such as other data groupings, high risk pooling, how diagnosis-based risk assessment might be improved, study of an expanded list of high-cost diagnoses, and comparisons to diagnoses from earlier time periods. From A Comparative Analysis of Methods of Health Risk Assessment, M-HB96-1.

Description: This SOA-funded study examines the relative performance of different risk assessment methods and risk adjustment systems. From A Comparative Analysis of Methods of Health Risk Assessment, M-HB96-1.

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

Description: This report aims to expand our understanding by providing a methodology to quantify uncertainty in risk assessment.

Description: This abstract describes a presentation that reviews the latest AHCA update and its impact on market stability from short-term and long-term points of view.

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.