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KMID : 1143320230120010023
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Therapeutic Science for Neurorehabilitation
2023 Volume.12 No. 1 p.23 ~ p.35
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Domestic Occupational Therapist Awareness Survey for the Need to Apply Artificial Intelligence Measurement Technology for Clinical Observation Evaluation Based on Sensory Integration
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Cho Sun-Young
Jung Young-Jin
Kim Jung-Ran
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Abstract
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Objective : This study is to examine the practical use of clinical observational evaluation of sensory integration therapy and the difficulty and importance of measuring results for each sub-item, and through this, to confirm the usefulness of the application of Artificial Intelligence measurement technology in clinical observational measurement and the need for application.
Methods : The questionnaire consisted of the actual use of the sensory integration evaluation tool, the difficulty of measurement for each detailed item of clinical observation, the usefulness of AI measurement technology, the importance of evaluation for each detailed item, and the need for developing AI measurement technology.
Results : The detailed items that were difficult to measure during clinical observation were the Finger-to-Nose Test and Postural control (71.0%), followed by Eye movement and Protective Extension Test (67.7%). 83.9% of the study subjects answered that it would be useful to apply AI measurement technology when observing images. Postural control (on the ball) (90.3%) was the highest item that answered that AI measurement technology was needed, followed by Eye movement (83.9%), and Prone Extension and Protective Extension Test (77.4%).
Conclusion : The results confirmed the desire of therapists that clinical observation is an important evaluation tool in the field of child occupational therapy in Korea.
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KEYWORD
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Artificial intelligence, Awareness survey, Clinical observation, Occupational therapist, Sensory integration
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