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GE HealthCare, UC San Diego Health enter 14-year technology alliance

par Gus Iversen, Editor in Chief | October 20, 2025
Business Affairs
GE HealthCare has signed a 14-year strategic agreement with UC San Diego Health aimed at integrating advanced imaging systems and digital technologies across the San Diego-based health system.

The long-term collaboration will focus on standardizing imaging and diagnostics infrastructure to support faster, more efficient care delivery. Under the agreement, UC San Diego Health will implement a suite of GE HealthCare imaging platforms, including X-ray, CT, PET/CT, PET/MR, SPECT/CT, MR, and nuclear medicine systems. The rollout will also incorporate artificial intelligence and digital tools designed to streamline operations and improve diagnostic precision.

“This Care Alliance was designed to standardize future-focused technology with the goal of measurable improvements in patient outcomes,” said Catherine Estrampes, president and CEO, U.S. and Canada at GE HealthCare. “This value-based delivery framework is driven by system-wide efficiency that can help increase access to innovative technology for clinicians and individualized care for patients.”
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The alliance will also support UC San Diego Health’s oncology program with solutions aimed at early detection, targeted therapy, and disease monitoring. The health system plans to integrate theranostics — a combined diagnostic and therapeutic approach — into its cancer care workflow.

The agreement includes a technical services component to provide ongoing education and support for clinical teams, along with a maintenance strategy intended to reduce equipment downtime and improve issue resolution. GE HealthCare field engineers will be embedded within the health system to support these services.

Among the technologies to be deployed are GE’s StarGuide SPECT/CT system, Smart Subscription for CT, and the SIGNA Continuum program for MR.

The partnership reflects a broader trend in healthcare systems adopting long-term, enterprise-level agreements to modernize imaging capabilities and optimize clinical workflows.

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