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The Patient Matters in the End(point)

Digital health technologies such as wearable sensors are increasingly being used in clinical trials. However, the endpoints created from these useful tools are wide and varied. Often, digital health technologies such as wearable sensors are used either to collect a raw metric like “step count” or wi...

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Detalles Bibliográficos
Autores principales: Griffiths, Pip, Rofail, Diana, Lehner, Rea, Mastey, Vera
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525413/
https://www.ncbi.nlm.nih.gov/pubmed/35930125
http://dx.doi.org/10.1007/s12325-022-02271-6
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author Griffiths, Pip
Rofail, Diana
Lehner, Rea
Mastey, Vera
author_facet Griffiths, Pip
Rofail, Diana
Lehner, Rea
Mastey, Vera
author_sort Griffiths, Pip
collection PubMed
description Digital health technologies such as wearable sensors are increasingly being used in clinical trials. However, the endpoints created from these useful tools are wide and varied. Often, digital health technologies such as wearable sensors are used either to collect a raw metric like “step count” or with artificial intelligence algorithms to define a biomarker for improvement. In the case of the former, improvements in such a raw metric is difficult to attribute to the patient health in a meaningful way. In the case of the latter, despite the potential predictive accuracies of machine learning and artificial intelligence approaches, the resulting biomarkers are a black box, which has limited direct interpretability to the patient's specific health concerns. The paper represents a call to arms to really place the patient at the heart of the endpoint. By designing trial endpoints which are measured by digital health technologies using a patient centered approach from the outset, the patient benefits from understanding the implications of approved medication for their life.
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spelling pubmed-95254132022-10-02 The Patient Matters in the End(point) Griffiths, Pip Rofail, Diana Lehner, Rea Mastey, Vera Adv Ther Commentary Digital health technologies such as wearable sensors are increasingly being used in clinical trials. However, the endpoints created from these useful tools are wide and varied. Often, digital health technologies such as wearable sensors are used either to collect a raw metric like “step count” or with artificial intelligence algorithms to define a biomarker for improvement. In the case of the former, improvements in such a raw metric is difficult to attribute to the patient health in a meaningful way. In the case of the latter, despite the potential predictive accuracies of machine learning and artificial intelligence approaches, the resulting biomarkers are a black box, which has limited direct interpretability to the patient's specific health concerns. The paper represents a call to arms to really place the patient at the heart of the endpoint. By designing trial endpoints which are measured by digital health technologies using a patient centered approach from the outset, the patient benefits from understanding the implications of approved medication for their life. Springer Healthcare 2022-08-05 2022 /pmc/articles/PMC9525413/ /pubmed/35930125 http://dx.doi.org/10.1007/s12325-022-02271-6 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Commentary
Griffiths, Pip
Rofail, Diana
Lehner, Rea
Mastey, Vera
The Patient Matters in the End(point)
title The Patient Matters in the End(point)
title_full The Patient Matters in the End(point)
title_fullStr The Patient Matters in the End(point)
title_full_unstemmed The Patient Matters in the End(point)
title_short The Patient Matters in the End(point)
title_sort patient matters in the end(point)
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525413/
https://www.ncbi.nlm.nih.gov/pubmed/35930125
http://dx.doi.org/10.1007/s12325-022-02271-6
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