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Reverse Engineering of Digital Measures: Inviting Patients to the Conversation

BACKGROUND: Digital measures offer an unparalleled opportunity to create a more holistic picture of how people who are patients behave in their real-world environments, thereby establishing a better connection between patients, caregivers, and the clinical evidence used to drive drug development and...

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Autores principales: Clay, Ieuan, Peerenboom, Nele, Connors, Dana E., Bourke, Steven, Keogh, Alison, Wac, Katarzyna, Gur-Arie, Tova, Baker, Justin, Bull, Christopher, Cereatti, Andrea, Cormack, Francesca, Eggenspieler, Damien, Foschini, Luca, Ganea, Raluca, Groenen, Peter M.A., Gusset, Nicole, Izmailova, Elena, Kanzler, Christoph M., Leyens, Lada, Lyden, Kate, Mueller, Arne, Nam, Julian, Ng, Wan-Fai, Nobbs, David, Orfaniotou, Foteini, Perumal, Thanneer Malai, Piwko, Wojciech, Ries, Anja, Scotland, Alf, Taptiklis, Nick, Torous, John, Vereijken, Beatrix, Xu, Shuai, Baltzer, Laurenz, Vetter, Thorsten, Goldhahn, Jörg, Hoffmann, Steven C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: S. Karger AG 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189241/
https://www.ncbi.nlm.nih.gov/pubmed/37206894
http://dx.doi.org/10.1159/000530413
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author Clay, Ieuan
Peerenboom, Nele
Connors, Dana E.
Bourke, Steven
Keogh, Alison
Wac, Katarzyna
Gur-Arie, Tova
Baker, Justin
Bull, Christopher
Cereatti, Andrea
Cormack, Francesca
Eggenspieler, Damien
Foschini, Luca
Ganea, Raluca
Groenen, Peter M.A.
Gusset, Nicole
Izmailova, Elena
Kanzler, Christoph M.
Leyens, Lada
Lyden, Kate
Mueller, Arne
Nam, Julian
Ng, Wan-Fai
Nobbs, David
Orfaniotou, Foteini
Perumal, Thanneer Malai
Piwko, Wojciech
Ries, Anja
Scotland, Alf
Taptiklis, Nick
Torous, John
Vereijken, Beatrix
Xu, Shuai
Baltzer, Laurenz
Vetter, Thorsten
Goldhahn, Jörg
Hoffmann, Steven C.
author_facet Clay, Ieuan
Peerenboom, Nele
Connors, Dana E.
Bourke, Steven
Keogh, Alison
Wac, Katarzyna
Gur-Arie, Tova
Baker, Justin
Bull, Christopher
Cereatti, Andrea
Cormack, Francesca
Eggenspieler, Damien
Foschini, Luca
Ganea, Raluca
Groenen, Peter M.A.
Gusset, Nicole
Izmailova, Elena
Kanzler, Christoph M.
Leyens, Lada
Lyden, Kate
Mueller, Arne
Nam, Julian
Ng, Wan-Fai
Nobbs, David
Orfaniotou, Foteini
Perumal, Thanneer Malai
Piwko, Wojciech
Ries, Anja
Scotland, Alf
Taptiklis, Nick
Torous, John
Vereijken, Beatrix
Xu, Shuai
Baltzer, Laurenz
Vetter, Thorsten
Goldhahn, Jörg
Hoffmann, Steven C.
author_sort Clay, Ieuan
collection PubMed
description BACKGROUND: Digital measures offer an unparalleled opportunity to create a more holistic picture of how people who are patients behave in their real-world environments, thereby establishing a better connection between patients, caregivers, and the clinical evidence used to drive drug development and disease management. Reaching this vision will require achieving a new level of co-creation between the stakeholders who design, develop, use, and make decisions using evidence from digital measures. SUMMARY: In September 2022, the second in a series of meetings hosted by the Swiss Federal Institute of Technology in Zürich, the Foundation for the National Institutes of Health Biomarkers Consortium, and sponsored by Wellcome Trust, entitled “Reverse Engineering of Digital Measures,” was held in Zurich, Switzerland, with a broad range of stakeholders sharing their experience across four case studies to examine how patient centricity is essential in shaping development and validation of digital evidence generation tools. KEY MESSAGES: In this paper, we discuss progress and the remaining barriers to widespread use of digital measures for evidence generation in clinical development and care delivery. We also present key discussion points and takeaways in order to continue discourse and provide a basis for dissemination and outreach to the wider community and other stakeholders. The work presented here shows us a blueprint for how and why the patient voice can be thoughtfully integrated into digital measure development and that continued multistakeholder engagement is critical for further progress.
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spelling pubmed-101892412023-05-18 Reverse Engineering of Digital Measures: Inviting Patients to the Conversation Clay, Ieuan Peerenboom, Nele Connors, Dana E. Bourke, Steven Keogh, Alison Wac, Katarzyna Gur-Arie, Tova Baker, Justin Bull, Christopher Cereatti, Andrea Cormack, Francesca Eggenspieler, Damien Foschini, Luca Ganea, Raluca Groenen, Peter M.A. Gusset, Nicole Izmailova, Elena Kanzler, Christoph M. Leyens, Lada Lyden, Kate Mueller, Arne Nam, Julian Ng, Wan-Fai Nobbs, David Orfaniotou, Foteini Perumal, Thanneer Malai Piwko, Wojciech Ries, Anja Scotland, Alf Taptiklis, Nick Torous, John Vereijken, Beatrix Xu, Shuai Baltzer, Laurenz Vetter, Thorsten Goldhahn, Jörg Hoffmann, Steven C. Digit Biomark Viewpoint BACKGROUND: Digital measures offer an unparalleled opportunity to create a more holistic picture of how people who are patients behave in their real-world environments, thereby establishing a better connection between patients, caregivers, and the clinical evidence used to drive drug development and disease management. Reaching this vision will require achieving a new level of co-creation between the stakeholders who design, develop, use, and make decisions using evidence from digital measures. SUMMARY: In September 2022, the second in a series of meetings hosted by the Swiss Federal Institute of Technology in Zürich, the Foundation for the National Institutes of Health Biomarkers Consortium, and sponsored by Wellcome Trust, entitled “Reverse Engineering of Digital Measures,” was held in Zurich, Switzerland, with a broad range of stakeholders sharing their experience across four case studies to examine how patient centricity is essential in shaping development and validation of digital evidence generation tools. KEY MESSAGES: In this paper, we discuss progress and the remaining barriers to widespread use of digital measures for evidence generation in clinical development and care delivery. We also present key discussion points and takeaways in order to continue discourse and provide a basis for dissemination and outreach to the wider community and other stakeholders. The work presented here shows us a blueprint for how and why the patient voice can be thoughtfully integrated into digital measure development and that continued multistakeholder engagement is critical for further progress. S. Karger AG 2023-05-12 /pmc/articles/PMC10189241/ /pubmed/37206894 http://dx.doi.org/10.1159/000530413 Text en © 2023 The Author(s). Published by S. Karger AG, Basel https://creativecommons.org/licenses/by-nc/4.0/This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC) (http://www.karger.com/Services/OpenAccessLicense). Usage and distribution for commercial purposes requires written permission.
spellingShingle Viewpoint
Clay, Ieuan
Peerenboom, Nele
Connors, Dana E.
Bourke, Steven
Keogh, Alison
Wac, Katarzyna
Gur-Arie, Tova
Baker, Justin
Bull, Christopher
Cereatti, Andrea
Cormack, Francesca
Eggenspieler, Damien
Foschini, Luca
Ganea, Raluca
Groenen, Peter M.A.
Gusset, Nicole
Izmailova, Elena
Kanzler, Christoph M.
Leyens, Lada
Lyden, Kate
Mueller, Arne
Nam, Julian
Ng, Wan-Fai
Nobbs, David
Orfaniotou, Foteini
Perumal, Thanneer Malai
Piwko, Wojciech
Ries, Anja
Scotland, Alf
Taptiklis, Nick
Torous, John
Vereijken, Beatrix
Xu, Shuai
Baltzer, Laurenz
Vetter, Thorsten
Goldhahn, Jörg
Hoffmann, Steven C.
Reverse Engineering of Digital Measures: Inviting Patients to the Conversation
title Reverse Engineering of Digital Measures: Inviting Patients to the Conversation
title_full Reverse Engineering of Digital Measures: Inviting Patients to the Conversation
title_fullStr Reverse Engineering of Digital Measures: Inviting Patients to the Conversation
title_full_unstemmed Reverse Engineering of Digital Measures: Inviting Patients to the Conversation
title_short Reverse Engineering of Digital Measures: Inviting Patients to the Conversation
title_sort reverse engineering of digital measures: inviting patients to the conversation
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189241/
https://www.ncbi.nlm.nih.gov/pubmed/37206894
http://dx.doi.org/10.1159/000530413
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