Step and Save: A Wearable Technology Based Incentive Mechanism for Health Insurance

Qianyi Huang*, Wei Wang, Qian Zhang

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

The market of wearables are growing explosively for the past few years. The majority of the devices are related to health care and fitness. It is embarrassing that users easily lose interest in these devices, and thus fail to improve health condition. Recently, the “be healthy and be rewarded” programs are gaining popularity in health insurance market. The insurance companies give financial rewards to its policyholders who take the initiative to keep healthy. It provides the policyholders with incentives to lead a healthier lifestyle and the insurer can also benefit from less medical claims. Unfortunately, there are hardly any studies discussing how to design the incentive mechanism in this new emerging health promotion program. Improper design would not change policyholders’ unhealthy behavior and the insurer cannot benefit from it. In this paper, we propose a mechanism for this health promotion program. We model it as a monopoly market using contract theory, in which there is one insurer and many policyholders. We theoretically analyze how all parties would behave in this program. We propose a design that can guarantee that policyholders would faithfully participate in the program and the insurer can maximize its profit. Simulation results show that the insurer can improve its profit by 40% using the optimal contract.

Original languageEnglish
Title of host publicationAdvanced Parallel Processing Technologies - 15th International Symposium, APPT 2023, Proceedings
EditorsChao Li, Fan Wu, Zhenhua Li, Li Shen, Xiaoli Gong
PublisherSpringer Science and Business Media Deutschland GmbH
Pages326-347
Number of pages22
ISBN (Print)9789819978717
DOIs
Publication statusPublished - 2023
Event15th International Symposium on Advanced Parallel Processing Technologies, APPT 2023 - Nanchang, China
Duration: 4 Aug 20236 Aug 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14103 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Symposium on Advanced Parallel Processing Technologies, APPT 2023
Country/TerritoryChina
CityNanchang
Period4/08/236/08/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Keywords

  • Wearable technology
  • healthcare
  • incentive mechanism

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