Hospitals Using Command Centers

The Yale New Haven Hospital (YNHH) recently launched their Capacity Command Center (CCC) to combine real-time data analytics with the physical co-location of key operational services to improve the coordination, safety, quality, timeliness, and efficiency in taking care of patients. The CCC was jointly developed by the Yale New Haven Health Clinical Redesign Initiative, the YNHH Analytics Staff, and Epic in Verona Wisconsin.

The CCC innovates in two ways. First it leverages the huge amounts of operational data generated by the Epic EHR and then generates dashboards to allow nurses, physicians, and administrators to react to changing conditions in real-time.

Both major components of the CCC have had a positive impact on showing a variety of real- time metrics such as bed capacity, bed cleaning turnaround time, patient transport times, delays for procedures and tests, ambulatory utilization, and quality and safety indicators.  The dashboards are visible on the command center screens and accessible through Epic by physicians and staff.

The physical co-location of key operational services, the emergency department, environmental services, nurse staffing while coordinating care has increased collaborative critical thinking since the staff can speak to each other in real-time on how to make sure patients are in the right place, at the right time, with the right care.

Florida Hospital and GE Healthcare Partners are working together to design and build a high tech Command Center to transform clinical operations at hospitals across Central Florida. For the first time, this high tech Command Center will use predictive analytics to help hospital staff deliver quality, safe, and optimized clinical operations.

The Command Center will focus on orchestrating patient care at nine Florida Hospital campuses and will handle more than 2,000,000 patient visits per year. This will make Florida Hospital one of the nation’s largest nonprofit health systems.

The Command Center will be powered by GE’s Wall of Analytics which takes data from multiple systems and applies artificial intelligence algorithms. This enables the staff to immediately prioritize patient care and discharges, make short-term staffing decisions, and mitigate potential bottlenecks before they occur.

Also in the state, Tampa General Hospital and GE Healthcare are partnering to develop a new high tech Coordination Center to harness predictive analytics. The Center is going to house staff members from different hospital departments that will use artificial intelligence data to improve patient transports, reduce patient wait times, and improve the coordination of services which will speed up the discharge process.

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