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Comprehensive real time remote monitoring for Parkinson's disease using Quantitative DigitoGraphy.
Hoffman, Shannon L; Schmiedmayer, Paul; Gala, Aryaman S; Wilkins, Kevin B; Parisi, Laura; Karjagi, Shreesh; Negi, Aarushi S; Revlock, Simon; Coriz, Christopher; Revlock, Jeremy; Ravi, Vishnu; Bronte-Stewart, Helen.
Afiliação
  • Hoffman SL; Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.
  • Schmiedmayer P; Stanford Byers Center for Biodesign, Stanford University, Stanford, CA, USA.
  • Gala AS; Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.
  • Wilkins KB; Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.
  • Parisi L; Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.
  • Karjagi S; Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.
  • Negi AS; Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.
  • Revlock S; Fastlane Creations, Encinitas, CA, USA.
  • Coriz C; Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.
  • Revlock J; Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.
  • Ravi V; Stanford Byers Center for Biodesign, Stanford University, Stanford, CA, USA.
  • Bronte-Stewart H; Stanford Medicine Catalyst, Stanford School of Medicine, Stanford, CA, USA.
NPJ Parkinsons Dis ; 10(1): 137, 2024 Jul 27.
Article em En | MEDLINE | ID: mdl-39068150
ABSTRACT
People with Parkinson's disease (PWP) face critical challenges, including lack of access to neurological care, inadequate measurement and communication of motor symptoms, and suboptimal medication management and compliance. We have developed QDG-Care a comprehensive connected care platform for Parkinson's disease (PD) that delivers validated, quantitative metrics of all motor signs in PD in real time, monitors the effects of adjusting therapy and medication adherence and is accessible in the electronic health record. In this article, we describe the design and engineering of all components of QDG-Care, including the development and utility of the QDG Mobility and Tremor Severity Scores. We present the preliminary results and insights from an at-home trial using QDG-Care. QDG technology has enormous potential to improve access to, equity of, and quality of care for PWP, and improve compliance with complex time-critical medication regimens. It will enable rapid "Go-NoGo" decisions for new therapeutics by providing high-resolution data that require fewer participants at lower cost and allow more diverse recruitment.

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: NPJ Parkinsons Dis Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: NPJ Parkinsons Dis Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos