BioMeT and algorithm challenges: a proposed digital standardized evaluation framework

Godfrey, Alan, Goldsack, Jennifer C., Tenaerts, Pamela, Coravos, Andrea, Aranda, Clara, Hussain, Azid, Barreto, Marcos E. ORCID: 0000-0002-7818-1855, Young, Fraser and Vitorio, Rodrigo (2020) BioMeT and algorithm challenges: a proposed digital standardized evaluation framework. IEEE Journal of Translational Engineering in Health and Medicine, 8. ISSN 2168-2372

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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
Official URL:	https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?pu...
Additional Information:	© 2020 The Authors
Divisions:	Statistics
Subjects:	T Technology > T Technology (General) R Medicine > RA Public aspects of medicine
Date Deposited:	03 Aug 2022 08:24
Last Modified:	20 Dec 2024 00:45
URI:	http://eprints.lse.ac.uk/id/eprint/115772

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