MSPEECH (multiple sclerosis monitoring through speech interaction in clinic and at home): a Living Lab study protocol for co-created, speech-based digital biomarkers in multiple sclerosis - Scorecard - MDSpire
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MSPEECH (multiple sclerosis monitoring through speech interaction in clinic and at home): a Living Lab study protocol for co-created, speech-based digital biomarkers in multiple sclerosis
Clinical Scorecard: MSPEECH (Monitoring Multiple Sclerosis Through Speech Interaction in Clinical and Home Settings): A Study Protocol for Developing Co-Created, Speech-Driven Digital Biomarkers in Multiple Sclerosis
At a Glance
Category
Detail
Condition
Multiple Sclerosis
Key Mechanisms
Digital health tools for frequent, low-burden measurements of speech as a potential biomarker.
Target Population
People with Multiple Sclerosis (pwMS)
Care Setting
Clinical and home settings
Key Highlights
Development of the Mili app for speech assessment in MS.
Iterative co-creation involving pwMS, clinicians, and technology partners.
Focus on usability, acceptability, and integration into clinical workflows.
Exploratory analysis of speech metrics related to symptom severity.
Ethical, Legal and Social Issues (ELSI) oversight throughout the study.
Guideline-Based Recommendations
Diagnosis
Capture disease activity and progression across MS phenotypes.
Management
Utilize digital health tools to monitor symptoms between clinical visits.
Monitoring & Follow-up
Assess speech production and language as indicators of neurological function.
Risks
Address privacy concerns related to voice data handling.
Patient & Prescribing Data
Individuals diagnosed with Multiple Sclerosis.
Speech tasks can reflect cognitive and motor function changes.
Clinical Best Practices
Implement structured co-creation cycles for digital tool development.
Ensure continuous engagement and feedback from end users.
Integrate digital measures into routine clinical care.
