Description: A Request for Proposals (RFP) for research studies on the impact of climate change and catastrophes on the U.S. health infrastructure. It outlines the background, objectives, submission requirements, and selection process for potential researchers.

Description: In this report, we explore the impact of clustering using the Medical Expenditure Panel Study (MEPS) data for children (aged 5 to 17) to build a bridge between oral health and overall health using dental and medical expenditures. We include social determinants of health as cluster input variables using the Partitioning around Medoids (PAM) method to identify children and their families who could potentially benefit from population health management related to oral health.

Description: Summary of the National Conference on Medical Costs, held in Washington, D.C. on June 28-29, 1967.

Description: Analyzing large quantities of raw complex data is often a challenge in the health care industry. During this webcast, there will be a demonstration of how unsupervised machine learning techniques can be applied to such data to help bring useful insights. This will include examples that use unsupervised learning techniques spanning dimensionality reduction, clustering and anomaly detection.

Description: Through the sponsorship of the Robert Wood Johnson Foundation, The Society of Actuaries partnered with Wakely to use their health care data to study the effects of COVID-19 on overall health care claims for individuals with a COVID-19 diagnosis. The conclusion of the study is that individuals with COVID-19 claims had significant increases in health care costs leading up to their months of diagnosis, as well as in the months following their diagnosis. These effects were more pronounced for individuals who were hospitalized due to COVID-19 as well as for individuals with prior co-morbidities. Finally, the overall health care costs of these members plateaued at significantly higher levels than their pre-COVID baselines. In fact, all the main membership cohorts experienced claim levels that were at least 20% higher than their pre-COVID starting points.

Description: The impact of Medicare payments on retiree medical. Issue No. 46.

Description: In this report, we explore the impact of clustering using the Medical Expenditure Panel Study (MEPS) data for children (aged 5 to 17) to build a bridge between oral health and overall health using dental and medical expenditures. We include social determinants of health as cluster input variables using the Partitioning around Medoids (PAM) method to identify children and their families who could potentially benefit from population health management related to oral health.

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: The purpose of this document is to inform the user of the 2022 Health Care Cost Model about the sources of data, other reports, and assumptions which were used to populate this report and drive some of the key considerations.

Description: This article provides summaries of the sessions sponsored by the Nontraditional Marketing Section at the recent SOA meeting in Orlando Florida. Topics included measuring sales success, professionalism and the cost of medical malpractice.