I speak Tele outlines the design of a digitized dysarthria assessment

Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Scientific Reports
Special issue
DOI of the original publication
Link
Series
Series number
Volume
15
Issue / Number
35903
Pages / Duration
1-10
Patent number
Publisher / Publishing institution
Nature
Place of publication / Event location
Edition
Version
Programming language
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Practice partner / Client
Abstract
Stroke is a leading cause of disability worldwide, leaving many survivors with chronic neurological deficits that restrict their daily activities. Telerehabilitation offers an opportunity to improve access to care, reducing travel burdens and fostering ongoing therapy in diverse settings. Speech and language telerehabilitation specifically benefits those with communication disorders such as dysarthria. However, widespread reliance on manual, paper-based documentation and subjective evaluations remains a significant challenge for remote speech and language therapy. To address this, we identified the specific requirements of various stakeholders and employed a user-centred design approach to develop a digital tool that integrates note-taking, time measurement, and audio/video recording within a single interface. By prioritizing the needs of speech-language pathologists (SLPs), researchers, and IT specialists, the resulting prototype streamlines common tasks, enhances data consistency, and delivers high usability. In testing, SLPs reported a reduction in assessment times from 50 to 35 min, while the average System Usability Scale score exceeded industry benchmarks, indicating strong acceptance. By enabling automated scoring, data export, and potential interoperability with healthcare systems, this tool foster more comprehensive patient monitoring. Future iterations will incorporate a secure backend and support for additional assessments, potentially transforming remote speech and language therapy.
Keywords
Stroke, Rehabilitation, Telemedicine, Speech therapy, Dysarthria, Speech-Language pathology
Project
Event
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Exhibition end date
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Conference end date
Date of the last check
ISBN
ISSN
2045-2322
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Gold
License
'https://creativecommons.org/licenses/by-nc-nd/4.0/'
Citation
Selvanayakam, S., Giovanoli, S., Slot, A., Du, E., Menard, T., Bendel, O., Awai, C. E., & Bauer, C. M. (2025). I speak Tele outlines the design of a digitized dysarthria assessment. Scientific Reports, 15(35903), 1–10. https://doi.org/10.1038/s41598-025-19726-9