Description: Technology is transforming the retirement space and more changes are expected in the future. Join a panel of experts to discuss what are the opportunities, trends and challenges associated with new technologies in the retirement landscape and how it is expected to impact consumers, if we can enable their successful integration.

Description: Can we improve upon traditional methods of risk measurement and risk selection? Panelists discuss potential applications of predictive modeling, including individual underwriting, group rating and provider reimbursement. They focus on ways in which predictive modeling can be used to improve risk selection, experience rating and provider reimbursement. A session at the Health/Pension Spring Meeting held in New Orleans, Louisiana June 15-17, 2005. From the Record of the Society of Actuaries, Vol. 31, No. 2.

Description: Presented at April 1986 Spring Meeting. This session discussion is about what analysis is effective in measuring recent medical care experience and are the projected cost-containment savings presented to plan sponsors being realized.

Description: Many new and innovative companies are leveraging technology to improve the effectiveness of the care provided to patients. They are employing better tools to identify patients who can benefit from specific programs that best meet the patient's need. They are also dramatically increasing the use of these programs by guiding plan members through the maze of offerings to match them with the programs that will be most beneficial to them. Employers are making these third party programs available to their members and Medicare Plans are using these new tools to identify emerging health risks for early intervention and more accurate risk scoring. This session will explore some examples of these programs, how they are being effectively integrated into the operations of health plans and how the results of these programs are being measured.The speakers will be:Raj Behal, MD, MPH,Chief Quality Officer, One Medical. Raj leads the quality and safety, value and innovation, and data science teams at One Medical. One Medical is changing the way primary care is delivered with a concierge approach with technology seamlessly woven into their offering. This includes booking appointments on line, virtual face to face care, accessible medical records and health reminders.Mylea Charval,Ph.D., CEO and Founder, Savonix. Savonix is a next generation cognitive assessment platform that brings clinical, evidence-based, and all mobile digital assessment of cognitive and emotional function. These capabilities are critical for early identification of the onset of dementia and for the proper risk assessment of seniors enrolled in Medicare Advantage Plans.Ed Cymerys, FSA, Advisor. Ed will serve as moderator. Over the last six years Ed has served as an advisor to a number of early stage technology companies looking to improve the way health benefits are being delivered.Dave Sotelo, FSA, MAAA, Actuarial Manager, Collective Health, Inc. Collective Health is an integrated solution that allows self-funded employers to administer their health plans, control costs, and take care of their people -- all in one place. They have effectively integrated more than 70 distinct third party solutions for self-funded employers and are rigorously assessing the impact of these programs

Description: Presented at April 1985 Spring Meeting. This session focused on recent experience of programs designed to contain health care costs.

Description: 1) Vision of the applications and development of data analytics in life insurance industry in Asia; 2) How big is the pie and what are the current obstacles insurers are facing; 3) Utilization of data and analytics target operating models as a competitive advantage, with focus on future readiness, controls, efficiency and effectiveness; 4) Potential roadmap ahead: a) Assessment of the current state of maturity levels of data and analytics initiatives; b) Identification of technology and competency gaps; c) Establishment of data integration and management process within BUs, alignment of advanced analytics tools across departments, with centralized data governance, technology structure and decision making framework; d) Definition of criteria and metrics to measure key outcomes and business value added. 5) Case study on agency behavior management: a practical example on how data analytics is being used in practice: (a) key business objectives: improve agent behaviors and maximize productivity with the lowest possible compensation costs; (b) data collection and current state assessment; (c) detailed predictive modeling process, modeling outcomes, and business implications; (d) implementation and monitoring process.

Description: 1) Vision of the applications and development of data analytics in life insurance industry in Asia; 2) How big is the pie and what are the current obstacles insurers are facing; 3) Utilization of data and analytics target operating models as a competitive advantage, with focus on future readiness, controls, efficiency and effectiveness; 4) Potential roadmap ahead: a) Assessment of the current state of maturity levels of data and analytics initiatives; b) Identification of technology and competency gaps; c) Establishment of data integration and management process within BUs, alignment of advanced analytics tools across departments, with centralized data governance, technology structure and decision making framework; d) Definition of criteria and metrics to measure key outcomes and business value added. 5) Case study on agency behavior management: a practical example on how data analytics is being used in practice: (a) key business objectives: improve agent behaviors and maximize productivity with the lowest possible compensation costs; (b) data collection and current state assessment; (c) detailed predictive modeling process, modeling outcomes, and business implications; (d) implementation and monitoring process.

Description: Panelists discuss pricing issues, patent issues, safeguards, successes, failures, and other observations about the future of automated underwriting. From the 2002 Record of Society of Actuaries, Volume 28, No. 3. Session 134PD of the Boston Annual Meeting.

Description: Panel discussion about ways can insurance carriers and health care coalitions work together, what data are coalitions requesting from health carriers, how health carriers respond to those requests, and implications for health carriers.

Description: Presented at May 1985 Spring Meeting. This session discussed the differences in the reporting of product line and source of earnings results between insurers and banks and the practical problems which exist in interpreting gain by source or product-level.