Case Study
AI Helped Johns Hopkins Reduce Patient Wait Times by 30%. This Is How They Did It.
Johns Hopkins cut ER wait times by 30% using an AI-powered triage tool called TriageGO. Faced with overcrowding, patient walkouts, and staff burnout, the hospital implemented AI to analyze real-time data and improve triage accuracy. The tool streamlined patient flow, reduced bottlenecks, and improved resource allocation without adding staff. Results included shorter wait times, fewer walkouts, and less burnout—saving up to $240K annually. TriageGO enabled more efficient care, increased revenue retention, and created a scalable model for other hospitals to follow.