Literature DB >> 27830234

Unintended Consequences of Wearable Sensor Use in Healthcare. Contribution of the IMIA Wearable Sensors in Healthcare WG.

M Schukat1, D McCaldin, K Wang, G Schreier, N H Lovell, M Marschollek, S J Redmond.   

Abstract

OBJECTIVES: As wearable sensors take the consumer market by storm, and medical device manufacturers move to make their devices wireless and appropriate for ambulatory use, this revolution brings with it some unintended consequences, which we aim to discuss in this paper.
METHODS: We discuss some important unintended consequences, both beneficial and unwanted, which relate to: modifications of behavior; creation and use of big data sets; new security vulnerabilities; and unforeseen challenges faced by regulatory authorities, struggling to keep pace with recent innovations. Where possible, we proposed potential solutions to unwanted consequences.
RESULTS: Intelligent and inclusive design processes may mitigate unintended modifications in behavior. For big data, legislating access to and use of these data will be a legal and political challenge in the years ahead, as we trade the health benefits of wearable sensors against the risk to our privacy. The wireless and personal nature of wearable sensors also exposes them to a number of unique security vulnerabilities. Regulation plays an important role in managing these security risks, but also has the dual responsibility of ensuring that wearable devices are fit for purpose. However, the burden of validating the function and security of medical devices is becoming infeasible for regulators, given the many software apps and wearable sensors entering the market each year, which are only a subset of an even larger 'internet of things'.
CONCLUSION: Wearable sensors may serve to improve wellbeing, but we must be vigilant against the occurrence of unintended consequences. With collaboration between device manufacturers, regulators, and end-users, we balance the risk of unintended consequences occurring against the incredible benefit that wearable sensors promise to bring to the world.

Keywords:  Wearable; monitoring; physiologic; privacy; software

Mesh:

Year:  2016        PMID: 27830234      PMCID: PMC5171570          DOI: 10.15265/IY-2016-025

Source DB:  PubMed          Journal:  Yearb Med Inform        ISSN: 0943-4747


  15 in total

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3.  What Does Big Data Mean for Wearable Sensor Systems? Contribution of the IMIA Wearable Sensors in Healthcare WG.

Authors:  S J Redmond; N H Lovell; G Z Yang; A Horsch; P Lukowicz; L Murrugarra; M Marschollek
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7.  Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques.

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9.  Opportunities and Challenges Surrounding the Use of Data From Wearable Sensor Devices in Health Care: Qualitative Interview Study.

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Journal:  Clin Transl Sci       Date:  2020-08-25       Impact factor: 4.689

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