BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework

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 hamp...

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Bibliographic Details
Main Authors: Alan Godfrey, Jennifer C. Goldsack, Pamela Tenaerts, Andrea Coravos, Clara Aranda, Azid Hussain, Marcos E. Barreto, Fraser Young, Rodrigo Vitorio
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9103089/
Description
Summary: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.
ISSN:2168-2372