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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...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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IEEE
2020
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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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collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7292480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | IEEE |
record_format | MEDLINE/PubMed |
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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