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: 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: 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: 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: Check out an overview of actuaries who started their own companies and discover more about their journeys. In this webcast, join Amanda who launched a few businesses, including a new supplemental health insurance company called Brella, an actuarial and strategy consulting firm called Turcotte Consulting and a brick-and-mortar local retail sore called Yarnia. Another actuary participating in this webcast is Puneet, a chief actuary of CDPHP. They launched Humbi Health, offering competitive intelligence analytics for plans, providers and drug manufacturers. Come explore how these actuaries succeed through the ideation, MVP, funding and launch of their businesses.

Description: InsurTech Q&A

Description: As the healthcare industry becomes increasingly complex, actuaries are under pressure to analyze vast amounts of data and make informed decisions quickly. Artificial intelligence (AI) technologies like ChatGPT offer a promising solution, providing powerful tools for data analysis and natural language processing. Come explore the use of ChatGPT in actuarial analysis, focusing on healthcare applications. Begin with an introduction to ChatGPT and how it works, including its ability to understand and generate natural language responses. Then expect a discussion on the potential benefits of using ChatGPT in healthcare actuarial analysis, including improved accuracy, efficiency, and scalability. Through case studies and examples, we will demonstrate how ChatGPT can be used to analyze complex healthcare data sets, including electronic health records (EHRs), claims data, and patient surveys. We will also discuss how ChatGPT can be integrated with other AI tools, such as predictive modeling and machine learning, to enhance actuarial analysis. Finally, learn about some of the potential challenges and limitations of using ChatGPT in actuarial analysis, such as data privacy concerns and the need for human oversight. There will also be guidance on best practices for using ChatGPT in a healthcare actuarial context, including data preparation, model training, and interpretability.

Description: Discover a modernization journey within finance, actuarial investment and risk domains. Expect to learn about the world we are striving for - an event-based, self-service, automated environment that centers around a cloud-based data lake with proper data quality and governance and provides visual, on-demand solutions for reporting and analysis. We will educate the audience on the technology used to obtain this vision and the approach (including our team structures and project management ideologies) we have taken thus far to start moving there.

Description: The article presents the opportunities and benefits of collaborations between Insurtechs and traditional insurance companies. The article also tackles the challenges and pitfalls of said collaborations. It provides a framework of topics to address prior to entering a collaboration between the two parties as well as a list of pitfalls for all stakeholders to be aware of as the collaboration materializes.

Description: This session will share insights on how to effectively evaluate and price the management high-cost claimants from three views: clinical, payer, and provider. Can predictive analytics help with underwriting? What are effective clinical mitigation strategies? Can VBC arrangements be used to reduce total cost of care, and how can that be priced in?