A major hospital network faced challenges with fragmented patient data, inefficient triage workflows, and delayed identification of critical health conditions. They needed a real-time AI solution to unify data, optimize resource allocation, and improve patient outcomes.

• Fragmented patient data across multiple systems.
• Inefficient workflows in triaging and resource allocation.
• Delayed identification of critical health conditions.

Airo partnered with the hospital to design and deploy an Agentic AI platform tailored to healthcare challenges. The solution unified disparate data sources into a centralized system, enabling real-time monitoring of patient health and predictive analytics for early intervention. Airo’s intelligent agents streamlined triage workflows by prioritizing critical cases and automating resource allocation. With Airo’s advanced NLP capabilities, staff could interact with the AI system through natural language queries, fostering seamless collaboration and reducing operational friction.

• 50% reduction in patient triage time.
• 40% improvement in operational efficiency.
• 30% increase in positive patient outcomes.
• Enhanced staff satisfaction through automation of repetitive tasks.

Airo’s AI-driven platform reduced patient triage time by 50%, improved operational efficiency by 40%, and increased positive patient outcomes by 30%. Automation of routine tasks also enhanced staff satisfaction, fostering a more efficient healthcare ecosystem.