BioMeT and algorithm challenges: A proposed digital standardized evaluation framework

Godfrey, Alan, Goldsack, Jennifer, Tenaerts, Pamela, Coravos, Andrea, Aranda, Clara, Hussain,, Azid, Barreto, Marcos, Young, Fraser and Vitório, Rodrigo (2020) BioMeT and algorithm challenges: A proposed digital standardized evaluation framework. IEEE Journal of Translational Engineering in Health and Medicine, 8. 0700108. ISSN 2168-2372

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Official URL: https://doi.org/10.1109/JTEHM.2020.2996761

Abstract

Technology is advancing at an extraordinary rate. Continuous flows of novel data are being generated with the potential to revolutionize how we better identify, treat, manage, and prevent disease across therapeutic areas. However, lack of security of confidence in digital health technologies is hampering adoption, particularly for biometric monitoring technologies (BioMeTs) where frontline healthcare professionals are struggling to determine which BioMeTs are fit-for-purpose and in which context. Here, we discuss the challenges to adoption and offer pragmatic guidance regarding BioMeTs, cumulating in a proposed framework to advance their development and deployment in healthcare, health research, and health promotion. Furthermore, the framework proposes a process to establish an audit trail of BioMeTs (hardware and algorithms), to instill trust amongst multidisciplinary users.

Item Type: Article
Uncontrolled Keywords: Digital health technologies; Healthcare challenges; Technology management; Research and development; Wearable sensors.
Subjects: B800 Medical Technology
B900 Others in Subjects allied to Medicine
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 21 May 2020 12:50
Last Modified: 10 Jul 2020 15:00
URI: http://nrl.northumbria.ac.uk/id/eprint/43222

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