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Investigation into Application of AI and Telemedicine in Rural Communities: A Systematic Literature Review
Kinalyne Perez1, Daniela Wisniewski1, Arzu Ari2
1School of Health Administration, Texas State University, San Marcos, TX 78666, USA.
Healthcare (Basel, Switzerland)
|February 13, 2025
Summary
Artificial intelligence (AI) and telemedicine enhance rural healthcare by improving diagnosis and access to specialists. Integrating these technologies offers data-driven insights for better patient outcomes, despite challenges in equitable access and digital literacy.
Area of Science:
- Healthcare Technology
- Artificial Intelligence
- Telemedicine
Background:
- Artificial intelligence (AI) and telemedicine are revolutionizing healthcare delivery, especially in rural and underserved areas.
- These technologies offer significant potential to bridge healthcare gaps and improve patient outcomes.
Purpose of the Study:
- To systematically review and identify key themes in the literature regarding the use of AI-driven diagnostic tools and telemedicine platforms.
- To explore the integration and impact of these technologies on patient diagnosis in rural communities.
Main Methods:
- An extensive systematic review of research studies and articles was conducted.
- Multiple research databases were utilized to identify consistent themes and patterns across the literature.
Main Results:
- Five core constructs emerged: challenges/benefits, integration in diagnosis/monitoring, future considerations, AI for early/accurate diagnosis, and innovations for rural healthcare.
- AI enhances diagnostic capabilities through data analysis, while telemedicine improves access to specialized care.
Conclusions:
- The integration of AI and telemedicine offers real-time decision support and improved clinical outcomes.
- Addressing challenges like equitable access, digital literacy, and ethical implications is crucial for realizing the full potential of these technologies in reducing healthcare disparities.
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