Risk Assessment for Personalized Health Insurance Products

System — Tue, 12 Mar 2024 12:18:08 +0000

CATEGORY: Healthcare insurance, Explainable AI, Personalized healthcare, Real-world data, IoT, Big data

SOURCE: Big Data and Artificial Intelligence in Digital Finance. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-94590-9_16

Risk Assessment for Personalized Health Insurance Products

Kyriazakos S., Pnevmatikakis A., Perikleous A., Kanavos S. (2022)

Abstract

The way people lead their lives is considered an important factor in health. In this chapter, we describe a system to provide risk assessment based on behavior for the health insurance sector. The system processes real-world data (RWD) of individuals from their daily life that enumerate different aspects of behavior collection. The data have been captured using the Healthentia platform and a simulator that augments the actual dataset with synthetic data. Classifiers are built to predict variations of peoples’ well-being short-term outlook. Risk assessment services are provided to health insurance professionals by processing the classifier predictions in the long term while explaining the classifiers themselves provide insights on the coaching of the users of the service.

Keywords: Healthcare insurance, Explainable AI, Personalized healthcare, Real-world data, IoT, Big data

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Opportunities, ethical challenges, and value implications of pervasive sensing technology for supporting older adults in the work environment

System — Mon, 09 May 2022 12:46:50 +0000

CATEGORY: eHealth, Health monitoring, e-Health applications

SOURCE: AUSTRALASIAN JOURNAL OF INFORMATION SYSTEMS , 2022, May; DOI Link, Research Article DOI Link

Opportunities, ethical challenges, and value implications of pervasive sensing technology for supporting older adults in the work environment

Christiane Grünloh, Miriam Cabrita, Carina Dantas & Sofia Ortet

Abstract

Responding to the challenges of demographic change, a growing number of eHealth solutions are appearing on the market, aiming to enable age-friendly living and working environments. Pervasive sensing and monitoring of workers' health-, behavioural-, emotional- and cognitive status to support their health and workability enable the creation of adaptive work environments and the provision of personalised interventions. However, this technology also introduces new challenges that go beyond user acceptance and privacy concerns. Based on a conceptual investigation and lessons learnt within the SmartWork project (H2020-826343), this paper outlines opportunities and ethical challenges of pervasive sensing technology in the work environment that aims to support active and healthy ageing for office workers in a holistic way, including their values and preferences. Only by identifying those challenges, implicated values and value tensions is it possible to convert them into design opportunities and find innovative ways to address identified tensions. The article outlines steps taken within the project and closes with a reflection on the limits of technological responses to societal problems and the need for regulations and changes on a societal level.

The post Opportunities, ethical challenges, and value implications of pervasive sensing technology for supporting older adults in the work environment appeared first on Healthentia.

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Risk Assessment for Personalized Health Insurance Products