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HCI for health and wellbeing: challenges and opportunities

Blandford, A; (2019) HCI for health and wellbeing: challenges and opportunities. International Journal of Human-Computer Studies , 131 pp. 41-51. 10.1016/j.ijhcs.2019.06.007. Green open access

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Abstract

In terms of Human–Computer Interaction, healthcare presents paradoxes: on the one hand, there is substantial investment in innovative health technologies, particularly around “big data” analytics and personal health technologies; on the other hand, most interactive health technologies that are currently deployed at scale are difficult to use and few innovative technologies have achieved significant market penetration. We live in a time of change, with a shift from care being delivered by professionals towards people being expected to be actively engaged and involved in shared decision making. Technically, this shift is supported by novel health technologies and information resources; culturally, the pace of change varies across contexts. In this paper, I present a “space” of interactive health technologies, users and uses, and interdependencies between them. Based on a review of the past and present, I highlight opportunities for and challenges to the application of HCI methods in the design and deployment of digital health technologies. These include threats to privacy, patient trust and experience, and opportunities to deliver healthcare and empower people to manage their health and wellbeing in ways that better fit their lives and values.

Type: Article
Title: HCI for health and wellbeing: challenges and opportunities
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.ijhcs.2019.06.007
Publisher version: https://doi.org/10.1016/j.ijhcs.2019.06.007
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Digital health, Medical devices, Health IT, Patient empowerment, Patient safety, Human factors, Complex adaptive systems
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10076080
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