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BioMeT and algorithm measures: A proposed standardized evaluation framework (Preprint)

2019·0 ZitationenOpen Access
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0

Zitationen

7

Autoren

2019

Jahr

Abstract

<sec> <title>UNSTRUCTURED</title> Technology is advancing at extraordinary rates with novel data being generated which could potentially revolutionary different therapeutic areas of medicine. However, adoption is medicine is hampered by a lack of trust, particularly for biometric monitoring technologies (BioMeTs) where a key question facing frontline healthcare professionals is are BioMeTs fit for purpose? Here, we discuss pragmatic barriers and guidance regarding BioMeTs, cumulating in a proposed guidance framework to better inform their development and deployment in digital medicine. Furthermore, the framework proposes a process to establish an audit trail of BioMeTs (hardware and algorithms), to instil trust amongst multidisciplinary users. </sec>

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Digital Mental Health InterventionsArtificial Intelligence in Healthcare and EducationMobile Health and mHealth Applications
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