L'IA va-t-elle remplacer les Occupational Therapists ?

Currently, occupational therapy remains one of healthcare's most AI-resistant professions. The role's emphasis on individualized patient care, complex problem-solving, and hands-on intervention creates natural barriers to automation. Most AI applications today serve as productivity enhancers rather than replacements, helping with documentation, scheduling, and basic research tasks. In the near term (2-5 years), we can expect AI to increasingly assist with treatment planning suggestions, outcome predictions, and administrative workflows. However, the core therapeutic relationship and clinical decision-making will remain human-driven. Looking toward the long-term horizon (7-10 years), AI may begin to influence more sophisticated aspects of practice, such as advanced diagnostic support and personalized treatment protocols. Even then, the implementation and delivery of interventions will require human expertise, particularly for complex cases involving multiple comorbidities or psychosocial factors. Occupational therapists who embrace AI as a collaborative tool while maintaining their focus on human-centered care will find themselves in an advantageous position. The key to thriving in this evolving landscape lies in viewing AI as an enhancement to clinical practice rather than a threat, using technology to free up time for more meaningful patient interactions and complex therapeutic interventions that only humans can provide.