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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.
Afiliación
  • van der Walt A; Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia.
  • Butzkueven H; The Alfred, Melbourne, VIC 3004, Australia.
  • Shin RK; Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia.
  • Midaglia L; MedStar Georgetown University Hospital, Washington, DC 20007, USA.
  • Capezzuto L; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain.
  • Lindemann M; F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
  • Davies G; F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
  • Butler LM; F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
  • Costantino C; F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
  • Montalban X; F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
Brain Sci ; 11(9)2021 Sep 21.
Article en En | MEDLINE | ID: mdl-34573267
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Brain Sci Año: 2021 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Brain Sci Año: 2021 Tipo del documento: Article País de afiliación: Australia