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Artificial Intelligence-Based Consumer Health Informatics Application: Scoping Review.
Onur Asan1, Euiji Choi2, Xiaomei Wang3
1School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, United States.
Journal of Medical Internet Research
|August 30, 2023
Summary
Artificial intelligence (AI) in health care enhances patient-centered care. This review of AI-based consumer health informatics (CHI) shows positive impacts on patient outcomes and perceptions.
Area of Science:
- Health Informatics
- Artificial Intelligence
- Patient-Centered Care
Background:
- Artificial intelligence (AI) is transforming healthcare, increasing patient accessibility and engagement.
- Patients are becoming primary consumers and decision-makers in health technology.
- Researching patient perceptions and outcomes is crucial for AI integration in healthcare.
Purpose of the Study:
- To review and analyze AI-based consumer health informatics (CHI) research.
- To understand the impact of AI-based CHI on patient-centered care.
- To identify trends and outcomes in AI-driven health informatics.
Main Methods:
- Scoping review of peer-reviewed papers in PubMed before July 2022.
- Included studies on AI-based CHI tools reporting patient outcomes or perceptions.
- Analyzed 20 eligible papers.
Main Results:
- AI-based CHI systems are prominent in mobile health (65%), robotics (25%), and telemedicine (10%).
- All systems focused on delivering personalized patient care.
- Studies demonstrated benefits for patient outcomes and perceptions across disciplines.
Conclusions:
- AI-based CHI systems show a positive trend in impacting patient outcomes and perceptions.
- Further research is needed on clinician perspectives and integration into healthcare workflows.
- AI holds significant potential for patient-centered healthcare advancements.
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