This study explores rehabilitative professionals’ perceptions, knowledge, barriers, and use of artificial intelligence (AI), identifying key factors influencing adoption.
Methods:
Focus groups gathered insights from licensed rehabilitation professionals. Thematic analysis was conducted.
Results:
Participants had limited AI familiarity and were skeptical of its reliability. AI was mainly used for education rather than clinical applications. Identified potential uses included documentation automation, patient screening, and clinical decision support. Barriers included accuracy concerns, workforce displacement, and regulatory gaps.
Conclusion:
AI could enhance rehabilitative care, but adoption requires education, regulatory frameworks, infrastructure improvements, and practitioner trust. Further research on AI implementation is needed.