Mobile applications and artificial intelligence are increasingly integrated into medical practice, yet their impact on workflow optimization and diagnostic accuracy remains understudied. This study evaluates the effectiveness of the MedQuest mobile application in optimizing patient questionnaire processes and assesses the accuracy of AI-driven International Classification of Functioning, Disability and Health (ICF) coding in comparison to traditional clinician-based coding.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Time required to complete and process questionnaire
Timeframe: Baseline
Accuracy of AI-generated ICF coding compared to clinician coding
Timeframe: At study completion, approximately 3 months