GE HealthCare Partners with Major Medical Systems to Boost AI in Hospitals
Las Vegas, Tuesday, 21 October 2025.
GE HealthCare has announced partnerships with The Queen’s Health Systems and Duke Health to enhance AI-driven hospital operations. Queen’s Health Systems reported a 41% decrease in emergency department stay length, saving $20 million.
Introduction: New Partnerships in AI
At the HLTH 2025 conference held in Las Vegas on 20 October 2025, GE HealthCare announced significant partnerships with The Queen’s Health Systems in Honolulu and Duke Health in Durham. The collaboration aims to enhance AI-driven software designed to optimize hospital operations. This initiative is part of GE HealthCare’s broader strategy to leverage artificial intelligence for improving healthcare delivery systems and reducing operational costs [1][2].
Impact on Healthcare Operations
The Queen’s Health Systems, the largest health system in Hawaii, reported a 41% decrease in emergency department length of stay and an estimated savings of $20 million in the first year of using GE HealthCare’s Command Center software. This dramatic improvement in patient throughput and operational efficiency highlights the potential of AI technology to transform hospital operations [1][3].
AI and Patient Care Enhancement
GE HealthCare’s AI-driven software is part of the CareIntellect platform, which integrates various applications to support health systems in deploying new solutions swiftly. The platform’s recent addition, a Perinatal product, was developed in collaboration with HCA Healthcare clinicians, offering real-time analytics for maternal and infant care. This focus on data-driven insights aims to enhance patient care and streamline workflows [1][2].
Future Prospects and Innovations
Looking ahead, GE HealthCare plans to expand its AI capabilities with new research projects, including developing diagnostic imaging assistants and evaluating incidental findings in CT scans. The company’s commitment to rigorous testing and validation of AI models underscores its dedication to delivering reliable and effective healthcare solutions. This forward-thinking approach is expected to create new reimbursement pathways for AI solutions by 2026, focusing on outcome-based reimbursement models [1][4].