In a major step toward democratizing diagnostic accuracy, Sutter Health, a non-profit integrated health system serving 3.5 million Californians, has entered a strategic partnership with Aidoc, a leading clinical AI company, to deploy Aidoc’s enterprise-wide AI operating system (aiOS) across its network of hospitals and care sites.
This multi-year collaboration aims to transform patient care by embedding real-time AI insights—such as early detection of stroke, pulmonary embolism, and other critical conditions—directly into clinical workflows. The goal: to help clinicians act faster, reduce missed findings, and deliver more connected, responsive care.
Positioning Sutter as a West Coast AI Hub
Sutter Health will serve as Aidoc’s premier West Coast hub for clinical AI innovation. The system will help co-develop new models, launch pilots across key service lines, and conduct peer-reviewed research on outcomes. More significantly, the partnership marks a transition from siloed AI pilots to enterprise-wide adoption and governance—an evolution that mirrors broader trends across the healthcare industry.
Clinician reading scan notified by Aidoc AI solution
Why It Matters: Faster Recognition, Better Outcomes
Dr. Jason Wiesner, Chair of the Imaging Service Line at Sutter Health, emphasized the importance of timely diagnosis. “The aiOS platform will help identify and triage critical conditions like stroke faster and reduce the risk of missed diagnoses. We’re putting advanced AI tools in the hands of our doctors to enhance patient care across our entire system,” he said.
Aidoc CEO Elad Walach added, “AI is not here to replace clinical judgment. It’s here to help remove delays. They’re not just piloting AI; they’re operationalizing it across the system. This partnership is about helping their care teams act faster, stay focused, and deliver clarity in the moments that matter most.”
What aiOS Brings to the Table
Aidoc’s aiOS acts as an enterprise-grade operating layer that integrates:
- Real-time triage AI for conditions like stroke, pulmonary embolism, and intracranial hemorrhage
- Alerting and smart workflow tools that route findings to the right clinician team
- Governance and analytics tools for performance tracking and continuous improvement
- Seamless integrations with PACS, EHRs, and imaging systems
For Sutter, this allows AI to function not as an add-on or pilot, but as a deeply embedded part of clinical decision-making across its continuum of care.
AI Embedded Across the Care Continuum
The Sutter-Aidoc deployment will reach beyond emergency departments and radiology units to support:
- Stroke centers, where rapid triage and intervention are critical
- Neurovascular teams, improving aneurysm and hemorrhage detection
- Cardiovascular imaging, enabling earlier identification of incidental or emergent findings
By deploying aiOS at scale across 24 hospitals and more than 200 care sites, Sutter is making a significant commitment to digital transformation—one that few health systems have yet achieved.
A Scalable Model for Enterprise AI
This partnership positions Sutter Health as a leading model for scalable clinical AI adoption. The health system is investing not just in technology, but also in the infrastructure, governance, and training necessary to support long-term implementation.
According to Laura Wilt, Chief Digital Officer at Sutter Health, “Rather than simply adopting new AI tools, this collaboration is about building the infrastructure and innovation that modern care demands—so we can scale its impact across teams, departments and, most importantly, lives.”
Understanding the Clinical AI Landscape
Aidoc, founded in Israel in 2016, now offers one of the most extensive portfolios of FDA-cleared AI algorithms for medical imaging. Its software supports early detection of a wide range of conditions, including cervical spine fractures, free air in the abdomen, pulmonary embolisms, and strokes. Today, Aidoc’s platform is used in over 1,500 hospitals globally and processes more than 3 million scans each month.
Independent studies have validated Aidoc’s performance. For example, its pulmonary embolism detection algorithm demonstrates 93% sensitivity and 97% specificity.
With rising caseloads, radiologist shortages, and ongoing cost pressures, U.S. health systems are increasingly turning to clinical AI platforms like aiOS to enhance both operational efficiency and patient safety.
Conclusion
The Sutter-Aidoc partnership marks a major milestone in clinical AI’s evolution—from experimental tool to core infrastructure. By embedding AI into routine workflows and scaling it system-wide, Sutter Health is demonstrating how advanced analytics can drive better decisions, faster responses, and ultimately, better outcomes for patients.
It’s a model other health systems will be watching closely.
Learn more about Aidoc’s clinical AI platform at www.aidoc.com
– This original article was created with AI support.
