Description: A Discussion of why female mortality is higher than male mortality at higher ages.

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: Taxes and Fees Introduced by the ACA

Description: A compilation of feedback from actuaries in the Health Section of the affects of the ACA.

Description: This paper provides an outline of three potential initiatives that may be undertaken by the government and the private sector. The first initiative aims at reducing the cost of health care at the provider level. The second initiative provides a means to improve the quality of health care. The third initiative creates a constructive basis for identifying medical best practices to enhance quality.

Description: Panelist discuss issues relating to new medical technologies and how these are going to affect the practice of medicine, the delivery of care, the costs of care, the insuring of care, claims handling, utilization, and cost management. From the Record of the Society of Actuaries, Vol. 25, No. 2.

Description: Chart 4 for Session 1030F: Impact of Technology on Health-Care Delivery Systems

Description: Wrap-up of publication and thank-yous.

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: 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.