Description: Electronic Health Records, or EHRs, are a major worldwide initiative to eliminate paper recordings – including Attending Physician Statements (APSs) – of an individual’s medical history and current treatment.

Description: Electronic Health Records, or EHRs, are a major worldwide initiative to eliminate paper recordings – including Attending Physician Statements (APSs) – of an individual’s medical history and current treatment.

Description: This article focuses on the recent surge of digital medicine data being seen in the healthcare industry. While an increase in data can generally be perceived as good, it is important to remember that current privacy practices need to be maintained, if not strengthened, to continually protect healthcare members. The COVID-19 pandemic helped fuel digital medicine data, but it also created new avenues for privacy to potentially be compromised (i.e. healthcare employees using personal devices while working from home). Digital medicine data is a very powerful asset, but it is also a massive responsibility. If mishandled, this data can cause more harm than good.

Description: Every patient leaving the hospital has personal life-context circumstances that impact their chances of successful recovery and complications can be costly. Complex care management impacts over 50 percent of health care spend, with the admitted commercial population driving 37 percent of spend or $177M per 100,000 lives and the Medicare population driving 53 percent of spend or $600 million per 100,000 lives. The stakes are high, but existing care management solutions are mostly clinical and navigation call centers provide fragmented and outdated patient management systems, and do not address individual life-context. Discharged patients therefore remain underengaged and undercompliant, leading to costly complications. Innovative technology can help enable and integrate systems and existing infrastructure to leverage evidence-based contextualized care that will enhance care management, improve efficiency, and drive a better experience and outcomes for patients. This technology helps codifies life context, dynamically stratifying and engaging members digitally and telephonically helping virtual care teams to be more effective and efficient. In a recent randomized clinical trial, this technology and approach has shown a 50 percent reduction in the total cost of care, cutting the average and total cost of readmission, increasing virtual care team impact and member engagement and trust.

Description: This section presents book reviews and summaries of recent publications on a variety of topics.

Description: Read this report to learn more about interpretable machine learning techniques for health insurance fraud detection.

Description: This document is a Request for Proposal (RFP) issued by the SOA Research Institute, seeking researchers to assess the impact of artificial intelligence on the insurance and healthcare industries in Asia, with specific research objectives, proposal requirements, selection process, submission guidelines, and appendix providing cost estimates.

Description: This session discussion is about the trends and proliferation, the impact, the horizon, genetic research, considerations for containing utilization of various procedures and technology. From Record of Society of Actuaries Vol. 17, No. 3.

Description: This session discussion is about medical technology: trends and proliferation of medical technology, its impact, future, employer strategies to limit exposure, considerations of containing utilization of various procedures and technology. From Record of Society of Actuaries Vol. 18, No. 1A.

Description: 1999 SOA Annual Meeting, San Francisco. Presenters discussed ways in which nontraditional methods of distributing insurance products are continuing to evolve and offered their views on where that evolution may lead for the industry.