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: Using Johns Hopkins data around the COVID-19 pandemic, this article explores the interaction between selecting a metric and the different ways of visualizing it.

Description: Book review of 'Being Geek: The Software Developer's Career Handbook'

Description: This article talks about the challenges facing the FDA, especially those arising from the globalization of the pharmaceutical supply chain.

Description: Catalogues the outcomes of some forecasts he made in his book entitled, The Future: Machines that Think, and What They Might Do for Men.

Description: Using the Internet as a Pricing Tool clinical background information, defining the change in coverage, collecting data, data quality and data limitations. Issue No. 39.

Description: Read how the world’s largest provider of specialty insurance for classic vehicles uses its media department’s YouTube videos to its full advantage.

Description: An overview of the basic tooling and packages available for the Julia programming language, with a focus on why this is of interest to the actuarial profession. It covers some of the built-in language features as well parts of the Julia package ecosystem that make Julia ideal for modeling and data analysis. This is the second installment in a series of article aimed at actuaries. The first installment, Julia for Actuaries, was published in the October 2020 edition of Actuarial Technology Today, and covered the base language itself, its high-level, math-friendly syntax, and why the actuary of the future should consider its adoption.

Description: This article discusses the emergence of multi-processor computers and the importance of acquiring parallel computing skills.

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.