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Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device
There is increasing interest in the development and deployment of digital solutions to improve patient care and facilitate monitoring in medical practice, e.g., by remote observation of disease symptoms in the patients’ home environment. Digital health solutions today range from non-regulated wellne...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471038/ https://www.ncbi.nlm.nih.gov/pubmed/34573267 http://dx.doi.org/10.3390/brainsci11091247 |
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author | van der Walt, Anneke Butzkueven, Helmut Shin, Robert K. Midaglia, Luciana Capezzuto, Luca Lindemann, Michael Davies, Geraint Butler, Lesley M. Costantino, Cristina Montalban, Xavier |
author_facet | van der Walt, Anneke Butzkueven, Helmut Shin, Robert K. Midaglia, Luciana Capezzuto, Luca Lindemann, Michael Davies, Geraint Butler, Lesley M. Costantino, Cristina Montalban, Xavier |
author_sort | van der Walt, Anneke |
collection | PubMed |
description | There is increasing interest in the development and deployment of digital solutions to improve patient care and facilitate monitoring in medical practice, e.g., by remote observation of disease symptoms in the patients’ home environment. Digital health solutions today range from non-regulated wellness applications and research-grade exploratory instruments to regulated software as a medical device (SaMD). This paper discusses the considerations and complexities in developing innovative, effective, and validated SaMD for multiple sclerosis (MS). The development of SaMD requires a formalised approach (design control), inclusive of technical verification and analytical validation to ensure reliability. SaMD must be clinically evaluated, characterised for benefit and risk, and must conform to regulatory requirements associated with device classification. Cybersecurity and data privacy are also critical. Careful consideration of patient and provider needs throughout the design and testing process help developers overcome challenges of adoption in medical practice. Here, we explore the development pathway for SaMD in MS, leveraging experiences from the development of Floodlight™ MS, a continually evolving bundled solution of SaMD for remote functional assessment of MS. The development process will be charted while reflecting on common challenges in the digital space, with a view to providing insights for future developers. |
format | Online Article Text |
id | pubmed-8471038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84710382021-09-27 Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device van der Walt, Anneke Butzkueven, Helmut Shin, Robert K. Midaglia, Luciana Capezzuto, Luca Lindemann, Michael Davies, Geraint Butler, Lesley M. Costantino, Cristina Montalban, Xavier Brain Sci Review There is increasing interest in the development and deployment of digital solutions to improve patient care and facilitate monitoring in medical practice, e.g., by remote observation of disease symptoms in the patients’ home environment. Digital health solutions today range from non-regulated wellness applications and research-grade exploratory instruments to regulated software as a medical device (SaMD). This paper discusses the considerations and complexities in developing innovative, effective, and validated SaMD for multiple sclerosis (MS). The development of SaMD requires a formalised approach (design control), inclusive of technical verification and analytical validation to ensure reliability. SaMD must be clinically evaluated, characterised for benefit and risk, and must conform to regulatory requirements associated with device classification. Cybersecurity and data privacy are also critical. Careful consideration of patient and provider needs throughout the design and testing process help developers overcome challenges of adoption in medical practice. Here, we explore the development pathway for SaMD in MS, leveraging experiences from the development of Floodlight™ MS, a continually evolving bundled solution of SaMD for remote functional assessment of MS. The development process will be charted while reflecting on common challenges in the digital space, with a view to providing insights for future developers. MDPI 2021-09-21 /pmc/articles/PMC8471038/ /pubmed/34573267 http://dx.doi.org/10.3390/brainsci11091247 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review van der Walt, Anneke Butzkueven, Helmut Shin, Robert K. Midaglia, Luciana Capezzuto, Luca Lindemann, Michael Davies, Geraint Butler, Lesley M. Costantino, Cristina Montalban, Xavier Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device |
title | Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device |
title_full | Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device |
title_fullStr | Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device |
title_full_unstemmed | Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device |
title_short | Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device |
title_sort | developing a digital solution for remote assessment in multiple sclerosis: from concept to software as a medical device |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471038/ https://www.ncbi.nlm.nih.gov/pubmed/34573267 http://dx.doi.org/10.3390/brainsci11091247 |
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