IEEE Journal of Translational Engineering in Health and Medicine (Jan 2020)

BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework

  • Alan Godfrey,
  • Jennifer C. Goldsack,
  • Pamela Tenaerts,
  • Andrea Coravos,
  • Clara Aranda,
  • Azid Hussain,
  • Marcos E. Barreto,
  • Fraser Young,
  • Rodrigo Vitorio

DOI
https://doi.org/10.1109/JTEHM.2020.2996761
Journal volume & issue
Vol. 8
pp. 1 – 8

Abstract

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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.

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