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Artificial Intelligence-Powered Smartphone App to Facilitate Medication Adherence: Protocol for a Human Factors
Don Roosan1, Jay Chok2, Mazharul Karim1
1Department of Pharmacy Practice and Administration, College of Pharmacy, Western University of Health Sciences, Pomona, CA, United States.
JMIR Research Protocols
|November 9, 2020
Summary
This study explores AI-driven app design to improve patient understanding of complex medication information, aiming to enhance medication adherence and reduce hospitalizations.
Area of Science:
- Digital Health
- Human-Computer Interaction
- Health Informatics
Background:
- Complex medication guides lead to poor patient comprehension and nonadherence.
- A knowledge gap exists in understanding patient cognition regarding medication management.
- Advancements in AI offer opportunities to improve medication information delivery.
Purpose of the Study:
- To design an AI- and human-factor-based interface for enhanced medication information comprehension.
- To potentially improve patient medication adherence through better understanding.
- To leverage AI for innovative digital solutions in patient medication management.
Main Methods:
- Observational, eye-tracking, and cognitive studies (N=50) to understand patient perception and attention.
- Iterative design and usability testing of an AI-powered smartphone app interface (N=300).
- A two-arm randomized study (N=900) to evaluate the prototype's impact on medication comprehension and adherence.
Main Results:
- Preliminary data collection occurred in 2021.
- Results regarding patient comprehension and adherence are anticipated in 2022.
- The study design includes detailed methodology for evaluating an AI-driven interface.
Conclusions:
- This research pioneers AI-based digital interfaces for improved medication comprehension.
- Findings will inform future design of AI-powered digital interfaces for medication guides.
- Enhanced comprehension is expected to positively impact medication adherence rates.
