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ClinFIT in Action: From Functioning Data to Global Impact

Thursday, May 21, 2026

8:00 AM - 10:00 AM PT

Location: 118

Ideal Audience:Physician or Surgeon

Speaker(s)

Xiaolei Hu, MD, PhD (she/her/hers)

Associate professor
Umeå University
Julia Patrick Engkasan, PhD

Professor
Universiti Malaya
Fary Khan, MD

Rehabilitation Physician
Royal Melbourne Hospital
Bhasker Amatya, PhD (he/him/his)

Project manager
Royal Melbourne Hospital
MM

Masahiko Mukaino, MD

professor
Hokkaido University Hospital
Gerold Stucki, MD

Director and Professor
Swiss Paraplegic Research
Melissa Selb, PhD

Researcher
Swiss Paraplegic Research
Adrian Martinez-De la Torre, PhD

Assistant Professor
Faculty of Health Sciences and Medicine, University of Lucerne

This workshop focuses on an international initiative by the ISPRM ClinFIT Special Interest
Group (SIG) to bring together multiple countries and rehabilitation centres to
systematically collect ClinFIT-based functioning data from people undergoing inpatient
rehabilitation. Beyond describing functioning profiles, the project aims to:
• Implement the ClinFIT approach across inpatient rehabilitation settings globally,
• Collect standardized data to develop an interval-based functioning scale,
• Establish clinically meaningful cut-off points to identify rehabilitation needs.
Design
Proposed Scientific Session Content (2 Hours)
• Introduction to the workshop
o 3 min, Xiaolei Hu (XH)
• Why Functioning Data Matters in Rehabilitation
o 20 min, Gerold Stucki & Fary Khan
• Understanding ClinFIT
— From ICF to Clinical Practice
o 10min, Melissa Selb (MS)
— From Data to Meaning
o 30 min, Masahiko Mukaino (MM), Bhasker Amatya & Adrian Martinez-De la
Torre
• ClinFIT Global Study – A Incoming ClinFIT Project with a International Big-
Data Initiative
o 30 min, XH & MM
• Becoming a Collaborator
o 12 min, XH & MM
• Q & A
o 15 min, XH & MS

COI
Unless noted below there are none.
Adrian Martinez-De la Torre, PhD – Disclosed co-founder role (Methodds)

Session Objectives:

1. Cite the role of functioning data as a core health indicator and identify how the ClinFIT framework relates to the WHO International Classification of Functioning, Disability and Health (ICF) in rehabilitation practice. 2. Compare diagnosis-based health data with functioning-based information and distinguish how ClinFIT enables more meaningful monitoring of rehabilitation outcomes across settings. 3. Select appropriate approaches for implementing ClinFIT in their clinical or research setting and critique the potential advantages of standardized functioning data for benchmarking and service planning. 4. Describe the structure and scoring principles of the ClinFIT Generic-30 and demonstrate how ClinFIT data can be used to measure functioning trajectories and clinically meaningful change. 5. Plan potential participation in the international ClinFIT inpatient rehabilitation study by considering data collection procedures, governance principles, and opportunities for collaborative research.
CanMEDS: Collaborator. Leader. Scholar