Description: Panel dicussion on the need for information to keep a block of long-term care insurance profitable: what the business risks are, what is being done to mitigate them, what kind of reports are needed, and how these differ from reporting on other types of health insurance.

Description: This presentation is a panel discussion, session 32PD, from the 2004 Spring Meeting of the Society of Actuaries, held May 19-21 in Anaheim, CA. The concept of data warehousing means different things to different people. For actuaries, the primary focus is on improved access to timely information and applications that enable them to work more efficiently and produce better results. The panelists discuss the business side of data warehouses, noting that the real value in a data warehouse, or in an analytic platform, is whether you can actually use the data after you get it out, and discuss experiences in building data warehouses for actuaries in life and health companies. Discussion from participants is included. From the Record of Society of Actuaries, Volume 30, No. 1.

Description: Recent health care reform activity has highlighted the importance of Clinical Integration in improving the quality, safety, efficiency and reimbursement infrastructure of the health care system. This article discusses relevance and implication of regulatory measures, implementation and data issues, and provides an end-to-end example.

Description: While medical and pharmacy claims data is a well-established source for healthcare analytics, significant data can be found elsewhere in electronic medical records (EMRs) and in hospital admit, discharge, and transfer (ADT) messages. Increasing availability of bulk EMR data to analyze coupled with more powerful and specialized tools for analyzing it presents an opportunity for actuaries to incorporate these sources in their work. This session will take a look at some of the data available beyond claims in EMRs and HL7 ADT messages, and will discuss case studies, with consideration around structure, ease of use, cleanliness, and tools available for analyzing these data types including natural language processing.

Description: Why small insurance companies should act now to enhance their reporting and analytical capabilities -How to start -Critical factors of success

Description: Why small insurance companies should act now to enhance their reporting and analytical capabilities -How to start -Critical factors of success

Description: Presenters examined the importance of good data management in the current competitive marketplace. Analysis of your data can be split into three components: 1. Are you getting the quality and timely data? 2. Are you able to process it? 3. Are you able to use the information?

Description: You really can have it all: readily available and relevant information derived from consistent and understood data. Getting at the Truth requires a good datawarehouse design and an appropriate business data model. Add a powerful and flexible Web–based analytical interface to get at the data and success in the pursuit of Truth will happen.

Description: Explores the open vs. closed systems debate with regards to actuarial modeling and exposes the over-simplification. Valuable for anyone who uses models.

Description: This paper focuses on the role and design of data bases in the office environment.