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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Journal of Translational Engineering in Health and Medicine |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9103089/ |
| _version_ | 1831804229346394112 |
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| author | Alan Godfrey Jennifer C. Goldsack Pamela Tenaerts Andrea Coravos Clara Aranda Azid Hussain Marcos E. Barreto Fraser Young Rodrigo Vitorio |
| author_facet | Alan Godfrey Jennifer C. Goldsack Pamela Tenaerts Andrea Coravos Clara Aranda Azid Hussain Marcos E. Barreto Fraser Young Rodrigo Vitorio |
| author_sort | Alan Godfrey |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-22T19:02:31Z |
| format | Article |
| id | doaj.art-05457a9c142d49a8976fb0bd37b87dbe |
| institution | Directory Open Access Journal |
| issn | 2168-2372 |
| language | English |
| last_indexed | 2024-12-22T19:02:31Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Translational Engineering in Health and Medicine |
| spelling | doaj.art-05457a9c142d49a8976fb0bd37b87dbe2022-12-21T18:15:53ZengIEEEIEEE Journal of Translational Engineering in Health and Medicine2168-23722020-01-0181810.1109/JTEHM.2020.29967619103089BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation FrameworkAlan Godfrey0Jennifer C. Goldsack1Pamela Tenaerts2Andrea Coravos3Clara Aranda4Azid Hussain5Marcos E. Barreto6Fraser Young7Rodrigo Vitorio8Computer and Information Sciences Department, Northumbria University, Newcastle upon Tyne, U.K.Digital Medicine Society (DiMe), Boston, MA, USAClinical Trials Transformation Initiative (CTTI), Durham, NC, USAElektra Labs, Boston, MA, USAGroupe Speciale Mobile Association (GSMA), London, U.K.Institute of Translational Medicine (ITM), University of Birmingham, Birmingham, U.K.Computer Science Department, Federal University of Bahia (UFBA), Salvador, BrazilComputer and Information Sciences Department, Northumbria University, Newcastle upon Tyne, U.K.School of Medicine, Oregon Health and Science University, Portland, OR, USATechnology 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.https://ieeexplore.ieee.org/document/9103089/Digital health technologieshealthcare challengestechnology managementresearch and developmentwearable sensors |
| spellingShingle | Alan Godfrey Jennifer C. Goldsack Pamela Tenaerts Andrea Coravos Clara Aranda Azid Hussain Marcos E. Barreto Fraser Young Rodrigo Vitorio BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework IEEE Journal of Translational Engineering in Health and Medicine Digital health technologies healthcare challenges technology management research and development wearable sensors |
| 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 | Digital health technologies healthcare challenges technology management research and development wearable sensors |
| url | https://ieeexplore.ieee.org/document/9103089/ |
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