Description: This Q&A article discusses the use of machine learning to analyze unstructured data. Supriya Ramachandra, a data scientist at SIKKA, explains how her team uses natural language processing techniques, technical aspects of neural networks, LSTM modeling, and natural language processing. Machine learning allows for the classification of large amounts of unorganized data, providing actionable information for actuaries.

Description: This article looks at the Return on Investment for Disease Management and highlights point to consider. From Health Watch Newsletter, May 2006, Issue No. 52.

Description: This article is an update on the No Surprises Act, which is a U.S. Act aimed to reduce the risk that a person unexpectedly receives out of network charges for their health care visits.

Description: Discussion and Opinion on how randomness affects measurement of provider contracting risk-sharing agreements

Description: Discussion of the standards set by ASOP 23 on data quality within a health insurance context.

Description: This article takes a closer look at Medicare Part D Coverage and the types of payment demonstration payment of the federal reinsurance amountFlexible Capitation, Fixed Capitation, MA Rebate. Issue No 60

Description: This article discusses the positive aspects of E-prescribing, a transaction in which a physician transmits a prescription directly to a pharmacy through an electronic device. Issue No. 60

Description: This article provides a basic overview of how Health Section research is initiated and conducted including the roles different parties play. Issue No 60

Description: Update on Affordable Care Act topics, including Section 1332 waivers, Association Health Plans, silver loading and cost sharing reductions.

Description: Methods and assumptions used in the valuation of savings by external care vendors