Exploring AI Driven Autonomous Vehicles as Mobile Health Units to Expand Access to Healthcare in Underserved...

Area of Science:

• Public Health
• Health Technology
• Transportation Innovation

Background:

• Healthcare access remains a significant barrier in low- and middle-income countries, particularly for rural and underserved communities.
• Existing mobile clinic models offer insights but face limitations in reach and scalability.
• Emerging autonomous vehicle (AV) technology presents a novel opportunity to overcome these challenges.

Purpose of the Study:

• To explore the potential of autonomous vehicles (AVs) as mobile health units for enhanced healthcare delivery.
• To propose a new model for healthcare access leveraging AV technology in underserved regions.
• To analyze the opportunities, limitations, and key barriers of AV-based healthcare solutions.

Main Methods:

• Literature review of current mobile health initiatives and early AV deployments.
• Public health lens analysis of AVs as mobile health units.
• Critical discussion of barriers including infrastructure, digital inequity, policy, and ethics.

Main Results:

• AVs can be equipped with diagnostic tools, telemedicine, and medical supplies to bridge health access gaps.
• Significant opportunities exist for improving healthcare delivery in remote and underserved areas.
• Key barriers include infrastructure deficits, digital divide, policy gaps, and ethical considerations.

Conclusions:

• Autonomous vehicles offer a scalable and innovative solution to improve healthcare access and equity.
• Recommendations are provided for policymakers, health institutions, and industry stakeholders to advance AV-based healthcare.
• Integrating AV technology with health equity goals can reshape public health systems for universal coverage.