Description: 1. Overview of challenges with Managed Medicaid (MLTSS/Dual Medicaid) 2. Mechanisms to identify the business problem. 3. Predictive Model approach a. Understand / Define the business problem b. Determine the appropriate solution c. Model build (data manipulations/transformations) d. Model scoring & monitoring results 4. Case Study - Disenrollment predictive model a. Describe the problem b. Recommended model to solve the problem c. Results d. Monitor results e. Fine-tune / calibrate model

Description: Underwriting is one of several areas in the insurance industry being impacted by insurtech. In this session, we will hear from experienced experts in underwriting transformation. Digitization, machine learning and other approaches are among topics to be discussed.

Description: Learn various ways that actuaries are an making an impact on social issues such as healthcare, public health and climate change. Do you ever wonder if the actuarial profession is doing more than making bottom line revenue for its employers? Hear directly from multiple actuaries who are following their vocation by utilizing their actuarial skills to address real societal issues.

Description: The presenters describe the process payers and employers can use to evaluate emerging medical device technologies, recent or pending FDA submissions for prescription drugs and experimental treatments that impact patient care, resource utilization and health care expenditures. Learn the process of identifying and selecting impactful treatments (Horizon Scanning) and quantifying the financial cost of new technologies before they arrive in the market. These workflows can be leveraged by actuaries, healthcare economists, clinicians and pharmacists from a payer (Commercial and Medicare) and employer perspective for self-funded plans. Walk through sample models that illustrate how costs for emerging technologies and treatments can be modeled.

Description: This second session in the series examines responses to the changing workplace landscape from outside the insurance industry. Using a question-and-answer approach with our panelists, this session focuses on practical approaches to identifying new opportunities, and ways in which traditional products and sales channels are changing to meet emerging needs. Compared with other vertical financial services, the life insurance industry has a very low level of 'touch' with its customers. Communication with customers is often limited to the annual mailing of premium invoices. Wellness platforms offer life insurers a means to increase customer engagement, building stronger brand affinity and improving persistency. Life insurers can also leverage customer data collected through the wellness platform to streamline the underwriting process for cross-sales, increasing volume and efficiency.

Description: The presenters discuss the results from the CIA/SOA-sponsored survey on analytics practices of the Canadian life and health insurance industry. This is an opportunity to understand what other companies are doing and benchmark your practices with those of your peers and gain deeper insights about potential applications and their perceived value and effort. Attendees do not need specialized knowledge in predictive analytics to benefit from the information presented. Examples are provided from a Canadian context, but potential applications are relevant across a wide spectrum of geographies.

Description: Risk-shared plan designs have been gaining significant popularity with employers and members in response to the shortcomings of traditional defined benefit and defined contribution pension plans. The presenters will explore risk-shared plan design innovations recently implemented in Canada to better balance the competing needs of members and employers, including the growing trend toward pension plan consolidation.

Description: Healthcare cost is increasing at 9.3% in Asia in 2017 and health insurance cost will eventually catch up, making healthcare unaffordable to aging populations. Inefficiency in healthcare system is a contributing factor. In this session, use cases on how AI is impacting the health insurance operations on 3 core challenges. Document processing: A lot of documents are generated in the healthcare ecosystem, medical reports, diagnosis, invoices etc. Currently most of the documents are still reviewed manually and rely heavily on users’ judgement. Customer engagement: Customers are generally under distress and feel rejected during the claim process. It is due to the time and process needed to get the information they look for, the gap between the sales and claims process, and the reimbursement amount. Claim settlements: Claim adjudication is a technical process that review the disease, treatment and policy coverage. The process is specific to disease and difficult to be generalized. Thus, the process is far from consistent and invites fraud, abuse and wastage in this area.

Description: Papers: Does Living in a Retirement Village Extend Life Expectancy? The case of Whiteley Village in the UK. – Les Mayhew, Ben Rickayzen and David Smith, Ph.D. – City University, London Health and Social Care Analysis Regarding the State of Canadian Women Living in the Alone Stage of Retirement – Douglas Andrews, FSA, FCIA, Ph.D.; Lori Curtis, Ph.D. – University of Waterloo

Description: VA reserve and capital reforms are effective 1/1/20 and the first year of reporting under the new framework requires several key milestones for annuity valuation actuaries to achieve. Discuss key implementation issues, including the new standard projection, optionality around hedge treatment and taxation, discuss disclosure requirements as well as the PBR report requirements. Overall focus on decisions to be taken by a valuation actuary with respect to reporting under the new framework.