GE HealthCare (Nasdaq: GEHC) is launching a software application designed to help health systems predict capacity bottlenecks up to three days early, providing analyses at unit, department and enterprise-wide levels.
The CareIntellect for Operations platform will join the company’s broader CareIntellect catalog of cloud-connected software. Backed by artificial intelligence programs, it is designed to track statistics including bed availability, patient delays, emergency department wait times and staffing levels, and then offer guidance on imaging workflows as well as patient discharge and transfers.
“Health systems need to know where pressure is building and what to do next,” Taha Kass-Hout, GE HealthCare’s global chief science and technology officer, said in a statement.
According to the company, inpatient volumes grew 5.3% in 2025, pushing more health systems to operate near capacity while facing staffing shortages. “CareIntellect for Operations brings together patient and operational signals to give teams a 72-hour view of emerging constraints and help them act earlier,” Kass-Hout said.
The system’s AI models aim to combine previous hospital operations information with real-time electronic medical records to predict resource constraints, while tracking longitudinal patient data to predict when they are likely to be discharged.
Two academic medical centers have signed up to be the first to test out the system in-clinic: Duke Health in North Carolina and The Queen’s Health Systems in Hawaii.
In August, GE HealthCare announced that it is considering the potential sale of its $3 billion patient care solutions business, which spans patient monitoring, diagnostic cardiology, maternal-infant care and anesthesia.
