Enhancing Experiences & Reducing Costs: Lessons from the GLOBO KAI™ Pilot Program

Enhancing Experiences & Reducing Costs:

Lessons from the GLOBO KAI™ Pilot

Program

Discover exclusive insights from GLOBO's groundbreaking pilot program testing AI interpretation in real healthcare settings. Explore how GLOBO KAI™ can strategically enhance patient communication while reducing operational costs across the entire patient journey.

Conducted in early 2025, GLOBO's AI interpreter pilot program tested its proprietary, healthcare-optimized AI interpreting technology across multiple provider settings. Participants included Affinia Healthcare, a large not-for-profit healthcare system with 16 hospitals, multiple clinics, and healthcare facilities across Illinois and Michigan, plus a specialty hospital in Louisiana.

The patient journey involves countless touchpoints—from initial consultations to follow-up calls, pharmacy visits to wayfinding in the building. While live interpreters are essential for most medical interpreting interactions, there are opportunities along the patient journey for AI to enhance accessibility, reduce administrative burden, and lower costs for health systems. Our comprehensive research revealed significant gaps in language access during routine interactions, validating the need for AI interpreting solutions.

Innovation with Intention: GLOBO KAI represents the first language service provider to bring AI interpretation specifically designed for healthcare to market. Delivering real-time interpretation through the GLOBO Connect application, KAI features seamless integration with existing interpreter services, simple device placement with clear visual indicators, and escalation capabilities to connect with live interpreters when needed.

This report helps you understand where AI can increase language access points, preventing costly mistakes and ensuring patient safety. Discover how quality AI interpreting overcomes language barriers that currently lead to higher readmission rates, extended hospital stays, and medical errors. Learn from real pilot data showing where automated interpreting for limited English proficient patients holds the greatest promise.