Identifying Design Requirements for an Interactive Physiotherapy Dashboard With Decision Support for Clinical...

Area of Science:

• Biomedical Engineering
• Rehabilitation Science
• Human Factors Engineering

Background:

• Performance-related musculoskeletal disorders are prevalent among musicians.
• Physiotherapists face challenges in diagnosing and treating these conditions due to the complex interplay of biomechanics and musical demands.
• Existing diagnostic and therapeutic methods may lack the precision required for this specialized population.

Purpose of the Study:

• To identify design requirements for an interactive dashboard.
• The dashboard will integrate clinical movement analysis (CMA) to support clinical decision-making.
• The tool aims to assist physiotherapists in managing musculoskeletal disorders in musicians.

Main Methods:

• Qualitative user research employing human factors engineering principles.
• Methods included literature review, workflow observations, and focus groups with physiotherapy and biomechanics experts.
• Data triangulation characterized the domain, CMA workflow, user needs, cognitive tasks, and decision requirements.

Main Results:

• Defined 21 user requirements, 7 cognitive tasks, and 5 decision requirements for the dashboard.
• Key features include integrating musician-specific biomechanical data, combining diverse data types, adaptive patient overviews, advanced visualization, and efficient data export.
• Identified 14 clinical decision support (CDS) recommendations and 11 technical prerequisites.

Conclusions:

• An interactive dashboard with CDS and CMA data can enhance physiotherapy decision-making for musicians.
• The tool has the potential to improve diagnostic accuracy, patient outcomes, and career longevity for musicians.
• Further research is needed to refine usability, validate clinical effectiveness, and expand the tool's applications.