Identifying Design Requirements for an Interactive Physiotherapy Dashboard With Decision Support for Clinical Movement Analysis of Musicians With Musculoskeletal Problems: Qualitative User Research Study

An interactive physiotherapy dashboard with CDS incorporating CMA data holds significant potential to enhance decision-making in physiotherapy for musicians with performance-related musculoskeletal disorders. By addressing cognitive demands and integrating advanced visualization techniques, the tool can support physiotherapists in making more accurate assessments, potentially improving patient outcomes, reducing injury recurrence, and supporting musicians' career longevity. Ongoing research is essential to refine such a tool and validate its usability, decision support, and clinical effectiveness. Future work should explore advanced analytics, adapt to various CMA systems, and expand applications across musicians and therapeutic domains to enhance its impact.

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Publication Details

Journal
JMIR Human Factors
Published
2025-04-17
DOI
https://doi.org/10.2196/65029
Citations
2
Primary Topic
Musicians’ Health and Performance
Type
article
Field-Weighted Citation Impact
2.05
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article

Identifying Design Requirements for an Interactive Physiotherapy Dashboard With Decision Support for Clinical Movement Analysis of Musicians With Musculoskeletal Problems: Qualitative User Research Study

Karsten Morisse, Sven Meister, Eduard Wolf
2 citations
JMIR Human Factors
Musicians’ Health and Performance
2.05
article

Identifying Design Requirements for an Interactive Physiotherapy Dashboard With Decision Support for Clinical Movement Analysis of Musicians With Musculoskeletal Problems: Qualitative User Research Study

Karsten Morisse, Sven Meister, Eduard Wolf
article en
2 citations

Abstract

An interactive physiotherapy dashboard with CDS incorporating CMA data holds significant potential to enhance decision-making in physiotherapy for musicians with performance-related musculoskeletal disorders. By addressing cognitive demands and integrating advanced visualization techniques, the tool can support physiotherapists in making more accurate assessments, potentially improving patient outcomes, reducing injury recurrence, and supporting musicians' career longevity. Ongoing research is essential to refine such a tool and validate its usability, decision support, and clinical effectiveness. Future work should explore advanced analytics, adapt to various CMA systems, and expand applications across musicians and therapeutic domains to enhance its impact.

JMIR Human FactorsVol. 12
Witten/Herdecke University (DE), Osnabrück University (DE), Hochschule Osnabrück (DE), Fraunhofer Institute for Software and Systems Engineering (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 14%
Musicians’ Health and Performance
2.05
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Identifying Design Requirements for an Interactive Physiotherapy Dashboard With Decision Support for Clinical Movement Analysis of Musicians With Musculoskeletal Problems: Qualitative User Research Study — Karsten Morisse, Sven Meister, et al. · JMIR Human Factors (2025) | TGRS Research Map | TGRS