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A Conceptual Model for Pricing Health and Life Insurance Using Wearable Technology

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  • Michael McCrea
  • Mark Farrell
Abstract
A health risk score was created to investigate the possibility of using data provided by wearable technology to help predict overall health and mortality, with the ultimate goal of using this score to enhance the pricing of health or life insurance. Subjects were categorized into low‐, increased‐, and high‐risk groups, and after results were adjusted for age and sex, Cox proportional hazards analysis revealed a high level of significance when predicting mortality. High‐risk subjects were shown to have a hazard ratio of 2.1 relative to those in the low‐risk group, which can be interpreted as an equivalent increase in age of 7.8 years. Our findings help to demonstrate the predictive capabilities of potential new rating factors, measured via wearables, that could feasibly be incorporated into actuarial insurance pricing models. The model also provides an initial step for insurers to begin to consider the incorporation of continuous wearable data into current risk models. With this in mind, an emphasis is placed on the limitations of the study in order to highlight the areas that must be addressed before incorporating aspects of this model within current pricing models.

Suggested Citation

  • Michael McCrea & Mark Farrell, 2018. "A Conceptual Model for Pricing Health and Life Insurance Using Wearable Technology," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(3), pages 389-411, December.
    • Handle: RePEc:bla:rmgtin:v:21:y:2018:i:3:p:389-411
    DOI: 10.1111/rmir.12112
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    References listed on IDEAS

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    Cited by:

    1. Davide Lanfranchi & Laura Grassi, 2022. "Examining insurance companies’ use of technology for innovation," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 520-537, July.
    2. Karlsson Linnér, Richard & Koellinger, Philipp D., 2022. "Genetic risk scores in life insurance underwriting," Journal of Health Economics, Elsevier, vol. 81(C).
    3. Laura Grassi, 2024. "In a world of Open Finance, are customers willing to share data? An analysis of the data-driven insurance business," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 14(3), pages 727-753, September.
    4. Xian Xu & Peter Zweifel, 2020. "A framework for the evaluation of InsurTech," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(4), pages 305-329, December.
    5. Marta Ostrowska, 2021. "Does new technology put an end to policyholder risk declaration? The impact of digitalisation on insurance relationships," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(4), pages 573-592, October.
    6. Jie Liu & Shujun Ye & Yujin Zhang & Lulu Zhang, 2023. "Research on InsurTech and the Technology Innovation Level of Insurance Enterprises," Sustainability, MDPI, vol. 15(11), pages 1-19, May.

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