Developing AI-Driven Digital Health Solutions: A Comprehensive Scoping Review

By
Shuimei Liu
L. Raymond Guo
September 12, 2026

Digital Health

Overview

This scoping review explores the evolving role of AI as a design collaborator in digital health, highlighting the shift from AI-as-Product to AI-as-Agent.

Background

The integration of AI in healthcare aims to improve health outcomes. Despite significant investments, digital health interventions often face challenges such as limited engagement and adaptation to diverse patient needs.

Data Highlights

No numerical or trial data were presented in the article.

Key Findings

The review identifies a transition from AI-as-Product to AI-as-Agent in digital health design.
AI can actively contribute to designing, prototyping, and validating health interventions.
Existing frameworks for assessing AI models do not adequately cover the AI-augmented design process.
There is a lack of evidence on the operational workflows of AI integration in health tool design.
The review proposes a practical framework for incorporating AI agents throughout the health informatics lifecycle.

Clinical Implications

Healthcare professionals should consider the evolving role of AI in the design of digital health tools.

Conclusion

The scoping review highlights the need for a comprehensive understanding of AI's role in health tool design and proposes a framework to guide its integration in health informatics.