BioMeT and algorithm challenges: A proposed digital standardized evaluation framework

Alan Godfrey, Jennifer Goldsack, Pamela Tenaerts, Andrea Coravos, Clara Aranda, Azid Hussain, Marcos Barreto, Fraser Young, Rodrigo Vitório

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
49 Downloads (Pure)

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.
Original languageEnglish
Article number0700108
Number of pages17
JournalIEEE Journal of Translational Engineering in Health and Medicine
Volume8
Early online date28 May 2020
DOIs
Publication statusPublished - 12 Jun 2020

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