Description: 2021 Life Meeting - Session 5C: Assumption Setting in an Uncertain World 8.31.21 Recording

Description: Data science, predictive analytics and AI are certainly the buzzwords these days. They are heavily used and developed in underwriting and marketing but for most actuaries, they might/may as well be science fiction. The presenters will demonstrate how a normal actuary can utilize data science techniques in their daily job function without forming an official data science team within a company. It can be done in a gradual fashion so that normal business is not disrupted and improvements are made over time. The usage of data science techniques will include demonstrations of the following areas: - Regression analysis - Economic scenario generator - Experience study - Data quality checks - Inforce compression for explicit hedging

Description: The SOA, with SCOR as the researcher, completed an experience study of post-level term (PLT) lapse and mortality. In the first part of this session, the presenters will cover the key findings of the traditional analysis regarding the shock lapse, the PLT lapse and mortality experience. The remainder of the session will focus on the results of the predictive modeling, which will provide further insights into policyholder behavior in the post-level term period.

Description: The supplemental health market is changing. Carriers are looking to simplify claims processes, proactively identify missed claim opportunities, and reduce barriers to claim payment. As a result, more and more companies are looking at ways to use data from medical diagnostic and treatment codes. Take an introductory look at the most used medical codes—ICD (9 and 10), CPT, and HCPCS. Discuss the history and purpose of each code system and decipher the structure. Dive into how medical codes can be used in the supplemental health market (automatic claims adjudication, fraud identification, pricing), as well as common pitfalls encountered when using medical coding. By attending this session, you will have a basic understanding of the different types of medical codes, their actuarial applications, and common pitfalls.

Description: CPT, NCCI, ICD, CCI, DRG, APC, PTP – understanding healthcare claims involve a dizzying array of code sets and payment methodologies, and yet the claim form is the intersection of health plan affordability, provider payment, and data analysis. This webcast will cover: • The code sets used in medical coding • Types of correct coding policies implemented by CMS and commercial payers • Payment integrity strategies to drive health plan affordability • Data analytics approaches leveraging medical coding knowledge

Description: 2021 ImpACT Conference - Session 5C: Transforming Health Insurance Through Consumer-Centric Products 10.26.21 Recording

Description: 2021 ImpACT Conference - Session 3D: Individual Life Experience: Committee, Contest, COVID-19 and Data Update 10.26.21 Recording

Description: The famous 80/20 rule in data science states that only 20% of your time working with data is spent driving insightful business analytics. The rest of your time is spent trying to query, clean and organize your data. Even with this knowledge, the majority of actuarial training/focus is on the 20 percent. This session takes a different approach, focusing solely on speeding up your work on the other 80 percent. Practical examples will be part of a code walkthrough in R.

Description: After a sustained period of mortality improvement, U.S. population mortality improvement has stagnated in recent years. The presenters will discuss mortality improvement trends in the U.S. population and the causes of death contributing to these trends. U.S. population cause of death trends will be analyzed and compared to trends in the insured population. Mortality rates for major causes of death will be compared between the U.S. population and the insured population. In addition, assumption setting for both older age and later duration mortality as well as mortality improvement will be covered.

Description: U.S. population death statistics and trends often occupy COVID-19 briefings and daily headlines. There are also publicly available mortality data sources for actuaries and others to perform their own analysis. Yet industry studies examining the impact of COVID-19 on insured populations are in their infancy. In this webcast, presenters will provide insights into how the life insured population is faring during COVID-19 by discussing the findings from two recent SOA research initiatives. LIMRA, RGA Reinsurance, the Society of Actuaries and TAI have collaborated on an effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience. Additionally, the SOA has surveyed insurers to gather a high-level view of U.S. Group Term Life Insurance mortality results during the COVID-19 pandemic and comparing them to pre-pandemic mortality levels.