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AI Applications for Chronic Condition Self-Management: Scoping Review.
Misun Hwang1, Yaguang Zheng2, Youmin Cho3
1School of Nursing, University of Michigan, Ann Arbor, MI, United States.
Journal of Medical Internet Research
|April 8, 2025
Summary
Artificial intelligence (AI) shows promise for chronic condition self-management, but most applications are in early development. Further research is needed to optimize AI for better patient outcomes in medical, behavioral, and emotional self-care.
Area of Science:
- Digital Health
- Artificial Intelligence in Healthcare
- Patient Self-Management
Background:
- Artificial intelligence (AI) offers significant potential to enhance self-management support for individuals with chronic conditions.
- Current AI applications often fall short of patient needs and performance expectations in chronic condition self-management.
- Understanding AI's role in self-management is crucial for developing effective, tailored solutions.
Purpose of the Study:
- To comprehensively review AI applications for chronic condition self-management, focusing on medical, behavioral, and emotional tasks.
- To identify the developmental stages of current AI technologies in this domain.
- To pinpoint existing knowledge gaps in AI for chronic condition self-management.
Main Methods:
- A systematic literature review was performed using data from January 2011 to October 2024.
- Searches were conducted across four databases: PubMed, Web of Science, CINAHL, and PsycINFO.
- Studies included adult populations with chronic conditions, focusing on AI technologies supporting self-management, adhering to PRISMA-ScR guidelines.
Main Results:
- Out of 1873 retrieved articles, 66 met the inclusion criteria.
- Diabetes was the most frequently studied condition (30%).
- AI primarily supported medical (68%) and behavioral (41%) self-management, with less focus on emotional self-management (21%). Conversational AI (32%) and machine learning (24%) were common. Most AI technologies were in early development (algorithm development or feasibility testing).
Conclusions:
- AI technologies are being developed for various chronic condition self-management aspects, including medication, symptoms, and lifestyle.
- Emotional self-management currently has fewer AI applications, and most AI tools are in preliminary developmental stages.
- Further research is essential to validate AI integration for optimal chronic condition self-management outcomes.
Keywords:
artificial intelligencechronic diseaseemotional self-managementgenerative AIself-managementMore Related Videos
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