Ardent Health has partnered with Fujifilm Healthcare to bring Synapse enterprise imaging solutions to its acute care hospitals across six US states.
The partnership between Ardent Health and Fujifilm Healthcare aims to provide clinical staff with unified access to imaging data from radiology and cardiology departments through the Fujifilm Synapse Diagnostic PACS viewer.
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The rollout will allow Ardent’s care teams to view patient imaging information in one system.
It also enables access through Epic Systems Corporation’s electronic health record (EHR) platform via Synapse Mobility, including on mobile devices.
Fujifilm’s Synapse platform is set to centralise imaging records, enabling clinicians to manage a broad range of data, including standard and non-digital imaging and communications in medicine (DICOM) datasets.
The system’s integration with Epic will permit staff to view patients’ full imaging records directly within Epic, consolidating images and reports in a single location.
Ardent expects these changes to streamline day-to-day clinical operations, enable multidisciplinary collaboration, and maintain consistent data management.
Ardent Health chief medical officer FJ Campbell said: “Ardent has a deep commitment to deploy technologies that improve quality and access to care in meaningful, measurable ways, while removing administrative barriers that weigh on physicians.
“We’re pleased to partner with a technology leader that supports every part of patient imaging and data acquisition across our enterprise. Fujifilm’s informatics solutions give our clinicians the reliable, interoperable, and clear diagnostic insights they need, while easing documentation demands that often lead to fatigue.”
The implementation is intended to improve workflow efficiency by eliminating the need for clinicians to switch between different imaging and reporting systems, with the objective of supporting care coordination and broader data sharing.
This approach is expected to provide consistent, organisation-wide imaging management and support the use of AI-driven diagnostics throughout the care process.
