Description: The authors envision a data warehouse with information at the policy level or lower, and demonstrate how this data can be used to analyze the sources of earnings. The key to their analysis is the data warehouse, which links each policy, not only to valuation assumptions and results, but also to general ledger accounting amounts and to projections - model output that feeds the financial plan.

Description: This article contrasts the madness of the building of the Winchester House, a large California mansion, to business intelligence and data warehousing systems.

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: 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: The barrier between humans and machines continues to blur, but curiously, this may have been prediction thousands of years ago in ancient myths. This article looks to how some of the early legends are becoming manifest in modern technology, particularly in the area of elder care. From automation, to humanoid assistants, to mind clones will the age of technology bring a new utopia?

Description: 1999 SOA Annual Meeting, San Francisco. Presenters examine data warehousing applications primarily of use to actuaries, such as experience studies, profitability analysis, and performance measurement.

Description: Everyone loves efficiency. But what does it truly mean for something to be efficient? An actuary who has spent almost 20 years managing process improvements shares his experiences and the evolution of his views on efficiency. This parable highlights the broader aspects of efficiency that are often missed, and some of the challenges that can come from targeting a typical view of efficiency.

Description: Medicare Advantage Organizations must consider influences both internal and external to the adjudication process as they review and use data for bid preparation

Description: Implementation of GAAP Targeted Improvements will impact data, reporting, resourcing and governance. This provides an ideal opportunity to rethink some of the data and reporting processes currently in place and how they can be improved to create effective and scalable solutions for the future. With the transition date already behind us for public companies and preparation in motion, we will share insights into how organizations have started to tackle implementing the GAAP Targeted Improvements. The presenters will share insights on data and process challenges and possible solutions, as well as a 'smart compliance' approach to comply with the most valuable aspects of compliance. Resourcing strategies for successful implementation will also be discussed.

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.