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: Perhaps readers will send us additions to the following short list of events in the mathematical world associated with years ending in the digits 82. These are taken from IBM’s history chart, “Men of Modern Mathematics.”

Description: Feature article discussing preferred methods of communication.

Description: Peer-to-peer (P2P) insurance is one such business model where individuals or economic agents join together and pool their resources for mutual aid. The aim of this project is to showcase the development of a P2P insurance model and analyze it from both technological and product perspectives.

Description: Decentralized insurance alternatives is a rapidly expanding sector of Decentralized Finance (DeFi), an emerging and growing financial ecosystem powered by blockchain technologies. The purpose of this report is to review and discuss the business models and operating designs of decentralized insurance alternatives, which may have significant implications for traditional insurance businesses, as well as the actuarial profession.

Description: Panelelists at this session at the SOA 1998 Maui I Spring Meeting present their thoughts on how life and disability risk assessment and underwriting might be performed in the 21st century. Focus is on how technology can change and speed up the process.

Description: This presentation, session number 89PD, took place at the 1999 Spring Meeting of the Society of Actuaries, held May 24-25 in Atlanta. Panelists discuss issues and challenges facing organizations wishing to sell insurance and financial products over the Internet. Topics include regulatory issues facing on-line marketing and sales initiatives, security of the information provided online, “bought” versus “sold” products, and receptiveness of users. Discussion from participants is included. From the Record of the Society of Actuaries, Vol. 25, No. 1.

Description: The session from the 2003 SOA Orlando Meeting analyzes statutory and GAAP financial statements, including internal rate of return IRR, return on equity ROE, embedded value, source of earnings analysis, actual versus forecast and trend analysis. From the Record of the Society of Actuaries, Volume 29, No. 3.

Description: Cognitive tests used in the long-term care insurance industry differ in cognitive domains tested, time required for testing, ease of test administration, sensitivity and specificity. Recently, new approaches to scoring or testing have improved test utility for screening for cognitive impairment.

Description: In this article, we discuss the future of wearable technology in life insurance. Evidence from recent research shows that low levels of physical activity, as measured by steps per day indicate much higher mortality risk while higher levels of activity correspond with lower risk. The article shares insights of how insurers can use wearables to innovate by improving the customer journey, expanding insurability, engaging customers, promoting healthy lifestyles and improving risk assessment. Lastly, we discuss the challenges and considerations when using new data and technology to ensure success.