Investigation of wearable health tracker version updates.

Fitness Trackers Software Engineering Software Validation Wearable Electronic Devices

Journal

BMJ health & care informatics
ISSN: 2632-1009
Titre abrégé: BMJ Health Care Inform
Pays: England
ID NLM: 101745500

Informations de publication

Date de publication:
Oct 2019
Historique:
received: 03 06 2019
revised: 29 08 2019
accepted: 16 09 2019
entrez: 11 10 2019
pubmed: 11 10 2019
medline: 14 4 2020
Statut: ppublish

Résumé

Wearable fitness trackers are increasingly used in healthcare applications; however, the frequent updating of these devices is at odds with traditional medical device practices. Our objective was to explore the nature and frequency of wearable tracker updates recorded in device changelogs, to reveal the chronology of updates and to estimate the intervals where algorithm updates could impact device validations. Updates for devices meeting selection criteria (that included their use in clinical trials) were independently labelled by four researchers according to simple function and specificity schema. Device manufacturers have diverse approaches to update reporting and changelog practice. Visual representations of device changelogs reveal the nature and chronology of device iterations. 13% of update items were unspecified and 32% possibly affected validations with as few as 5 days between updates that may affect validation. Manufacturers could aid researchers and health professionals by providing more informative device update changelogs.

Sections du résumé

BACKGROUND BACKGROUND
Wearable fitness trackers are increasingly used in healthcare applications; however, the frequent updating of these devices is at odds with traditional medical device practices.
OBJECTIVE OBJECTIVE
Our objective was to explore the nature and frequency of wearable tracker updates recorded in device changelogs, to reveal the chronology of updates and to estimate the intervals where algorithm updates could impact device validations.
METHOD METHODS
Updates for devices meeting selection criteria (that included their use in clinical trials) were independently labelled by four researchers according to simple function and specificity schema.
RESULTS RESULTS
Device manufacturers have diverse approaches to update reporting and changelog practice. Visual representations of device changelogs reveal the nature and chronology of device iterations. 13% of update items were unspecified and 32% possibly affected validations with as few as 5 days between updates that may affect validation.
CONCLUSION CONCLUSIONS
Manufacturers could aid researchers and health professionals by providing more informative device update changelogs.

Identifiants

pubmed: 31597642
pii: bmjhci-2019-100083
doi: 10.1136/bmjhci-2019-100083
pmc: PMC7062347
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Références

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pubmed: 30194221
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pubmed: 29395985
BMC Med. 2015 Apr 09;13:77
pubmed: 25889598
JMIR Mhealth Uhealth. 2016 Jan 27;4(1):e7
pubmed: 26818775

Auteurs

Sandra I Woolley (SI)

School of Computing and Mathematics, Keele University, Keele, UK s.i.woolley@keele.ac.uk.

Tim Collins (T)

Department of Engineering, Manchester Metropolitan University, Manchester, UK.

James Mitchell (J)

School of Computing and Mathematics, Keele University, Keele, UK.

David Fredericks (D)

School of Computing and Mathematics, Keele University, Keele, UK.

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Classifications MeSH