The Artificial Intelligence Vs Physiotherapist Intervention on Therapeutic Alliance Based on Goal Setting and Task Agreement: An Rapid Review

Abstract

Introduction: AI technologies affecting the healthcare system in the current world, and the importance of compassion in providing quality healthcare and benefits the society, the authors aimed to find out the correlation in depth for the future shaping of healthcare. Their findings state that AI emphasized awareness, response, behaviour, communication, health coaching, therapeutic interventions, moral development of learning, clinical knowledge and assessment, therapeutic alliance, healthcare information, and advice.
Methods: This is a review of randomized controlled trial with single-blinded towards the participants. The experimental were received planned intervention from AI while the control group received the planned intervention by physiotherapists. The outcome measure are based on work alliance inventory (WAI)/ WAI-SF, items would be based on task items and goals items.
Discussion: The usage and risk of using AI in physiotherapy settings had also been studied. Park et al. (2023) carried out a random controlled trial assessing on long-term effects of deep learning (a branch of AI) digital physical therapy applications on pain, functional limitations, lower extremity weakness, radicular symptoms, range of motion limitation, functional movement, quality of life, cost-effectiveness and satisfaction with comparison to conventional physical therapy. The 4-week study draws the result of the digital-physical therapy applications having a similar effect to conventional physical therapy on structural and functional impairment, activity limitation, participation restriction and appears a superior result on clinical outcome measures, lower extremity strength and trunk mobility, activity of daily living, quality of life, and functional movement.
Conclusion: a higher therapeutic alliance score is more likely to meet the minimal clinical important difference based on patient-reported outcome measures for both disability and pain intensity. Besides, patients who scored higher therapeutic alliance scores will improve in changes of outcome measurements. Therefore, physiotherapists assess the therapeutic alliance and strategically improve the alliance for a better experience for patients in musculoskeletal rehabilitation.