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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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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292480/
https://www.ncbi.nlm.nih.gov/pubmed/32542118
http://dx.doi.org/10.1109/JTEHM.2020.2996761
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description 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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spelling pubmed-72924802020-06-14 BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework IEEE J Transl Eng Health Med Article 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. IEEE 2020-05-28 /pmc/articles/PMC7292480/ /pubmed/32542118 http://dx.doi.org/10.1109/JTEHM.2020.2996761 Text en https://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
spellingShingle Article
BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework
title BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework
title_full BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework
title_fullStr BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework
title_full_unstemmed BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework
title_short BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework
title_sort biomet and algorithm challenges: a proposed digital standardized evaluation framework
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292480/
https://www.ncbi.nlm.nih.gov/pubmed/32542118
http://dx.doi.org/10.1109/JTEHM.2020.2996761
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