Description: Complete listing of the tables used in the study to analyze the research data. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Chapter 8 analyzes, in table form, exposure in relation to status, gender, age range, and deductible level. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Presented at October 1985 Annual Meeting. Discusses the outlook for U.S. government statistics after budget costs and restraints, statistics of income, outlook for linked studies among the different agencies, plans for a 1987 National Medical Expenditures Survey, and the use of government statistics in marketing studies.

Description: In late 2021, U.S. Congress passed the Consolidated Appropriations Act (CCA), which requires group health plans and health insurers to submit information regarding the costs of prescription drug costs and other health care services each year to the federal government. Learn how this data can be useful to anyone responsible for forecasting and budgeting.

Description: Chapter 1 presents the background to the current study, followed by the methodology used, and a summary of the findings of the study. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: The South African life insurance industry contains the largest life insurance market in Africa, it is highly sophisticated and highly regulated. In the years 2020 and2021, the industry suffered significant mortality losses due toCovid-19. What can we learn from this experience in South Africa?

Description: With the mandated health plan transparency files, health plans and providers are now able to substantially enhance their provider contracting efforts. Although the files are large and cumbersome they are market disruptors and provide new insights for provider contracting efforts. Explore a demonstration on the type of information now available and how it can be used to enhance this from both a health plan and health care provider perspective.

Description: Chapter 6 analyzes, in table form, the study's hospital and non-hospital charges and claimant counts in relation to deductible and broken down by plan design type. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: In this introductory session, we set the stage for the Symposium’s entire ElderTech track. We’ve seen increasing technology adaptation by the elderly in many areas of their lives, including socializing, health care, mobility, home monitoring, insurance, investing and financial planning. Panelists will provide an overview of the current state of ElderTech and how they believe it will evolve in the short and long term. Panelists will also discuss the problems ElderTech is trying to solve, consumer pain points and why ElderTech has become so important recently.

Description: Data is at the core of the actuaries' role within companies, but how can actuaries translate data insights into informed and actionable decision making? The key is communicating data insights into a language that transcends analysis and enables real-time decisions that can provide an advantage to your management team. Learn an approach to choosing a tool or medium for your data insights, questions to ask yourself to better understand the communication necessary, and perspectives on how actuaries can take a larger role in actionable decisions within the industry. Understand availability, quality, and practical application of data sources health actuaries can access easily, how that data looks, approaches to transforming data into decisions, how it enriches administrative and claims data, and applications to pricing and reserving. Finally, discuss implications of ASOP 23, ASOP 41, and ASOP 56 as it relates to this topic. By attending this session, you will be able to: - Create an action plan on how to transform data into messaging for your leaders. - Use real experiences to formulate a strategy to expand the actuaries' role in informing decisions within the industry, including examples, to illustrate how data can benefit financials of health coverages. - Understand the application of ASOP 23 (Data), ASOP 41 (Communication), and ASOP 56 (Modeling) as it relates to turning data into decisions. - Be knowledgeable about new sources of morbidity for medical care and LTC and how to acquire and apply this information in actuarial models.