The project will develop an AI-based patient avatar that allows physiotherapy students to practice professional communication skills early in their studies and create an implementation strategy for its use in physiotherapy education.
Co-creation, through workshops and prototype testing, is central to the project and is combined with agile software development.
The project integrates expertise in physiotherapy, data science, and health technology to develop a language-model-based patient avatar that enhances physiotherapy students’ communication and patient history-taking skills early in their studies.
The goal is to develop both the patient avatar and an implementation strategy for integration into the physiotherapy program.
The development of an AI-based patient avatar is driven by co-creation between
- students and educators from the physiotherapy program at the Department of Rehabilitation Science and Health Technology (RHT)
- IT students from the Faculty of Technology, Art and Design (TKD)
- patient representatives, and researchers from RHT and TKD, affiliated with the Centre for Intelligent Musculoskeletal Health (CIM) at OsloMet
Participants
Cooperation
- Bachelor's and master's students in Data Science at OsloMet
- Bachelor's student and educators in the Physiotherapy Program at OsloMet
- Patient representatives in the User involvement group at the Centre for Intelligent Musculoskeletal Health (CIM)
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Centre for Intelligent Musculoskeletal Health (CIM)
CIM aims to establish a centre for innovative and effective Artificial Intelligent-based interventions for musculoskeletal disorders.