Description: Address issues in value-based contract accounting from an actuarial perspective. In Medicare and ACA business, what issues does risk adjustment present to value-based contract accounting? In Medicare, what issues do Part D present in value-based contract accounting and what are possible solutions? What are the issues in the use of provider stop loss in value-based contract accounting? Are there issues in the timeliness of claims in value-based contract accounting? Are we giving providers enough information for them to manage their population? How do we deal with deficit accounts? What are the pros and cons of capitation, gainshare, and full risk in value-based accounting?

Description: You will be reminded how to spot and avoid statistical biases and fallacies that are common to health care actuarial data and problems. We plan to explain various statistical biases and fallacies and for each show one or two examples of how they might pop up in healthcare data and what strategies can be used to avoid/account for them. Likely topics include simpson's paradox, regression to the mean, base rate fallacy, sampling bias, survivor bias, Berkson's fallacy, and others.