Description: Family caregivers are a critical link in providing long-term services and supports (LTSS), but they have significant unmet needs. To better support family caregivers, Congress authorized the Recognize, Assist, Include, Support, & Engage (RAISE) Family Caregivers Act in 2018 and created the RAISE Family Caregiving Advisory Council. The Council identified recommendations to serve as the backbone of a national strategy to improve the physical, emotional and financial well-being of family caregivers. A new report, "Asking Directions: Mapping a Course to Support Family Caregivers," identifies specific actions across a variety of players for meeting the Council’s recommendations. It summarizes insights from a year’s worth of strategy sessions and interviews with representatives of over 100 organizations. The report brings together thoughts on best practices and the most critical action steps from national and state organizations, county health providers, the direct care workforce, large and small employers, aging and disability organizations, faith-based groups, respite care providers and more. This article summarizes the research methods and key findings of the report and the work conducted by the Leading Age LTSS Center @UMass Boston and Community Catalyst’s Center for Consumer Engagement in Health Innovation.

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: How do we take a Minimum Viable Products (MVP) approach to launch new insurance products? Join this moderated discussion and focus on three key development aspects: Distribution, Systems, and the design and pricing of the Insurance product itself. Come discuss reasons to choose an MVP approach and how it solves many of the product launch challenges.

Description: Welcome to the future of insurance, for actuaries and non-actuaries! Discover how cutting-edge AI models are revolutionizing underwriting, risk assessment, and customer experience for the insurance industry. Experts in management consulting and actuarial consulting firms will provide valuable insights into the consideration and challenges surrounding the adoption of Generative AI.

Description: Interview on opportunities for InsurTechs in Life and Health reinsurance. Themes covered include digital distribution and digital health data. The article also shares insights into the role of the reinsurer when working with InsurTechs.

Description: InsurTech Q&A

Description: Companies with the intention of being the top, trusted source(s) in an information overloaded world.

Description: Support systems and new solutions to enable caregivers to deliver better care and reduce personal stress.

Description: The way customers and advisors purchase insurance products and interact with carriers has evolved rapidly in the last decade, reflecting the changing preferences in our digital world. Join this webcast to learn from a panel of experts on how they have approached these innovations in their own actuarial work and leave with a framework to manage risk through future change.

Description: With the rapid development of the Insurance market, insurance technology—including online insurance--continues to mature. Zhongan Online invests heavily in fintechand Zhongan Answer, an insurance robo-advisor, launched in 2018, could improve transaction efficiency by using artificial intelligence to communicate in a timely manner and solve the pain point of the perplexed insurance clause. Under a different consumption scenario, Zhongan Answer could reply to users in a timely manner, while also implementing private customized products and services by providing users with personal risk management and insurance assessment solutions so that users could easily and conveniently select the most suitable insurance plan. The intelligent shopping guide system of Zhongan Answer could improve transaction efficiency by analyzing the personal insurance intention and providing the humanized interpretation of insurance clause. Zhongan Answer has served millions of users and supported more than 100,000 insurance-related knowledge points with an accuracy rate over 90%. Zhongan Answer has provided more than four million Q&A services, and its intelligent shopping guide system covers more than 90% of insurance products.