Description: 1992 Valuation Actuary Symposium. This session on Long Term Care Insurance provided an update on the Society's Task Force on Valuation Methods for Long-Term Care Insurance, methods and assumptions that are being used for policies, premiums, and reserves on long-term care policies, and the regulatory environment.

Description: Article examines consistency across different underwriting manuals for LTCI.

Description: This article incorporates the NAIC long-term care insurance model regulation to discuss the appropriateness of rate increases by monitoring emerging experience to manage the risk. This includes experience analysis issues, maximum rate increase calculations, business considerations and valuation issues. From Long-Term Care, December 2003, Issue 10

Description: Panelists discuss opportunities to improve medical cost trends through underwriting, healthcare benefit designs, contracting, network management, claims operations, and medical management. From the Record of the Society of Actuaries, Vol. 31, No. 2, Session 40

Description: This final report is a SOA Task Force response to a NAIC request to develop valuation recommendations for long-term care insurance. Two basic sets of tables are provided: one for institutional benefits [nursing home] and one for noninstitutional benefits [home health care]. From Transactions of Society of Actuaries 1995, Vol. 47.

Description: This session discussion is about nonforfeiture values for long-term care: valuation of different approaches [cash surrender value, return of premium, reduced paid-up, extended term, shortened benefit period], sensitivity testing, implications for marketing and regulatory status. From Record of Society of Actuaries Vol. 19, No. 1A.

Description: Provides an overview of developments in the healthcare market including provider billing practices. Provides an overview of the Government Finance Officer’s Association (GFOA) in New York on Dec. 6, 2018

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: This article describes Medicare Supplement and short-term care products in more detail, and we compare their risk profiles. We explore the concept that these two products—when offered together—may provide a complementary hedge of certain policyholder behavior risks.

Description: This paper sets forth hospital utilization data from 1978 by age and sex for both prepaid hospital contracts and contracts supplementing medicare. In addition, hospital continuation data from 1977 is provided from regular contracts. From Transactions of Society of Actuaries 1983, Vol. 35.