Description: Yi-Ling Lin, FSA, MAAA, FCA, started the SOA’s Predictive Analytics Certificate Program to keep pace with the impact big data and predictive modeling is having on the health care industry

Description: Essay reforming management in health care, structure of reimbursement, program management, health information, measurement systems, etc.

Description: Recent health care reform activity has highlighted the importance of Clinical Integration in improving the quality, safety, efficiency and reimbursement infrastructure of the health care system. This article discusses relevance and implication of regulatory measures, implementation and data issues, and provides an end-to-end example.

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.

Description: Early in his career, Ehren Nagel, FSA, MAAA, scoured through podcasts and articles about predictive analytics, long suspecting this was a field with potential for him.

Description: In the evolving realm of healthcare actuarial practice, value-based contracts are reshaping the landscape. This article explores the pivotal role of AI-enhanced Electronic Medical Records (EMRs) in empowering actuaries to navigate this dynamic sector. Despite challenges in data standardization, AI-enhanced EMRs offer a solution by extracting and standardizing diverse medical records. The article delineates how AI-EMR integration benefits actuaries and provider organizations, enabling more accurate forecasting, earlier shared savings prepayments, and real-time quality metric aggregation. Moreover, it discusses how this fusion addresses historical data limitations, can help project catastrophic claims, and can help identify risk score capture opportunities. Ultimately, it indicates the transformative potential of AI-EMR synergy, positioning actuaries at the forefront of healthcare analytics with unprecedented precision and insight.

Description: The presenters discuss the results from the CIA/SOA-sponsored survey on analytics practices of the Canadian life and health insurance industry. This is an opportunity to understand what other companies are doing and benchmark your practices with those of your peers and gain deeper insights about potential applications and their perceived value and effort. Attendees do not need specialized knowledge in predictive analytics to benefit from the information presented. Examples are provided from a Canadian context, but potential applications are relevant across a wide spectrum of geographies.

Description: A discussion of insurance claims processing and payment systems, and how to achieve the minimum possible number of errors.