Leveraging Artificial Intelligence Tools to Bridge the Healthcare Gap in Rural Areas in India

Area of Science:

• Digital Health
• Health Informatics
• Rural Health Technology

Background:

• Rural areas face significant healthcare access challenges despite technological advancements.
• Artificial intelligence (AI) presents a promising avenue to overcome these obstacles.
• This research investigates AI solutions for closing the rural healthcare gap in India.

Purpose of the Study:

• To explore the viability and effectiveness of AI implementation in rural Indian healthcare.
• To identify potential AI applications for improving healthcare access in underserved regions.
• To assess the role of AI in addressing disparities in rural healthcare delivery.

Main Methods:

• A scoping review methodology was employed to define study objectives and parameters.
• Literature search conducted across PubMed, ScienceDirect, and Google Scholar (January 2020 - December 2023).
• Data screening and thematic analysis performed using Rayyan software.

Main Results:

• AI-driven solutions demonstrate potential for overcoming healthcare access gaps in rural settings.
• Barriers to AI adoption in rural healthcare were identified, necessitating collaborative efforts.
• Recommendations include investment in capacity-building, digital infrastructure, and supportive policies.

Conclusions:

• AI is transforming rural Indian healthcare by enhancing access and improving outcomes.
• Overcoming implementation challenges requires joint efforts from healthcare providers, policymakers, and developers.
• This study contributes to the knowledge base for AI-driven healthcare initiatives in similar contexts.