Description: This article discusses the publication of the “Encyclopedia of Quantitative Risk Assessment”

Description: Feature article discussing image recognition and how it may affect actuaries in the future.

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: Electronic Health Records (EHR) have increased in importance due to the in-person medical visit restrictions caused by the Covid-19 pandemic. Access to EHRs for insureds - apart from EHR vendors and providers - is now also prescribed by federal law. Combined, electronic medical data access has accelerated faster than expected. These trends are examined for potential impact and opportunities for actuaries in data aggregation.

Description: The author notes the decline in the study of compound interest and the effect of computers on the subject.

Description: The COVID-19 pandemic has disrupted the global economy at a level never imagined. The economic fallout has been catastrophic. Record high unemployment, staggering revenue loss, bankruptcy and an uncertain future have businesses—and consumers—searching for a beacon of hope. In the quest for a lifeline, actuarial teams are quickly being thrust into the spotlight

Description: an article to offer readers the background of the early career award and its benefits to the actuarial profession and academic community

Description: Feature article discussing the power of psychosocial data.

Description: CMS provides ACOs with monthly claims data for members, including their medical visits and ACO program eligibility. This data can be divided into Membership and Claims tables through the ETL process. However, when calculating PMPY at specific levels of detail using these tables, issues arise due to unrelated dimensions, leading to inaccurate and understated results. This article presents a solution to this problem by utilizing Tableau's data blending capabilities.

Description: This article looks at how the underwriting process has transformed from a paper process to become fully online. Not only has the process been digitized, there has been various innovations incorporating technology thus enabling large volume process automation, better customer experience as well as higher closing ratio. Other than improvement on speed and efficiency, various smart solutions are being explored to refine risk management through data mining and analysis of underwriting data.