This research leverages large language models to analyze public opinion of urgent care facilities through online reviews, overcoming limitations of traditional survey methods.

• Extracts nuanced patient perceptions from Google Maps reviews across the DMV area
• Identifies key satisfaction drivers for urgent care facilities
• Provides deeper insights than possible with conventional survey approaches

For healthcare leaders, this approach offers a scalable way to understand patient experiences and improve service quality by tapping into existing public feedback without resource-intensive surveys.

Original Paper: Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction