Artificial intelligence-enhanced mapping of the international classification of functioning, disability and health via a mobile app: a randomized controlled trial.

ABSTRACT:

Background

Mobile health applications and artificial intelligence (AI) are increasingly utilized to streamline clinical workflows and support functional assessment. The International Classification of Functioning, Disability and Health (ICF) provides a standardized framework for evaluating patient functioning, yet AI-driven ICF mapping tools remain underexplored in routine clinical settings.

Objective

This study aimed to evaluate the efficiency and accuracy of the MedQuest mobile application-featuring integrated AI-based ICF mapping-compared to traditional paper-based assessment in hospitalized patients.

Methods

A parallel-group randomized controlled trial was conducted in two medical centers in Astana, Kazakhstan. A total of 185 adult inpatients (≥18 years) were rand

SUBMITTER: Kurban Z 

PROVIDER: S-EPMC12361141 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature