GE HealthCare today introduced a new addition to its Command Center Software: the Hospital Pulse Tile. This innovative tool aggregates real-time data from various hospital departments, providing a customizable dashboard for operational leaders to get a quick “pulse check” of key metrics. For example, it can display the number of emergency department admissions relative to a six-month average or highlight the longest post-anesthesia boarding time from the previous day. This new feature aims to improve hospital efficiency, benefiting both care teams and patients.
Duke Health, which has been using the Command Center Software since 2019, will be the first healthcare provider in the world to implement the Hospital Pulse Tile. The tool will be widely available to U.S. customers next year.
Kristie Barazsu, Associate Chief Operating Officer at Duke University Hospital, praised the impact of 24-hour monitoring through the command center: “It has significantly improved how we operate, enhanced the experience of our care team, and strengthened patient support.” She emphasized the importance of AI-powered platforms in allowing care teams to focus on patient care by optimizing behind-the-scenes hospital operations.
GE HealthCare’s Command Center Software simplifies patient care coordination by integrating data from multiple hospital systems. Using specialized applications, or “tiles,” the platform allows staff to match patients with appropriate resources, improving access to care, reducing wait times, and enhancing operational efficiency. At Duke Health, over 150 users log in daily to manage various aspects of hospital operations.
Bree Bush, General Manager of Command Center at GE HealthCare, highlighted the longstanding relationship with Duke Health and the joint efforts to leverage advanced AI and digital technologies to improve operational efficiency. She emphasized that the implementation of the Hospital Pulse Tile is part of a broader effort to address some of the most pressing challenges in healthcare.
Duke Health has been working to incorporate the latest digital tools and AI-enabled technologies to enhance patient flow and system-wide efficiencies. GE HealthCare’s machine learning models have helped Duke Health make more informed operational decisions, ultimately improving access to care. Since 2020, Duke Health has reduced the time it takes to assign a bed by 66%, decreased reliance on temporary labor by 50%, and improved productivity by 6%. The system has also been able to better allocate staff, ensuring they are placed in the right location and providing the appropriate level of care.
