Advocate Health deploys Aidoc AI imaging platform across 22 sites to benefit 63,000 patients annually with faster diagnoses
“Advocate Health deploys Aidoc AI imaging platform across 22 sites to benefit 63,000 patients annually with faster diagnoses” documents a Medical Imaging & Radiology deployment in Hospital & Health System at Advocate Health. www.aidoc.com reports patients benefiting annually (projected): 63,000; this directory has not independently verified that result.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- 3 cited below
- Directory entry published:
- Source link checked:
The source-link check confirms reachability, not independent re-verification of every claim.
Source-reported figures — cited source: www.aidoc.com
The Challenge
Advocate Health, the nation's third-largest nonprofit integrated health system, performs more than 8 million imaging studies annually across a geographically dispersed network. Care teams needed a scalable way to accelerate triage and earlier identification of critical findings — including pulmonary embolisms and intracranial hemorrhages — across both urban and rural care locations.
The Solution
Following a successful pilot at 22 sites across Wisconsin and North Carolina beginning October 2024, Advocate Health signed an enterprise agreement to deploy Aidoc's aiOS™ platform system-wide. Three FDA-cleared algorithms were embedded into clinical imaging workflows to flag and prioritize pulmonary embolisms, incidental pulmonary embolisms, and intracranial hemorrhages. Planned expansion covers additional conditions including cervical spine fractures, rib fractures, pneumothorax, aortic dissection, abdominal free air, and brain aneurysms.
Results
Based on internal modeling and early pilot outcomes, Advocate Health projects nearly 63,000 patients annually will benefit from faster prioritization and earlier diagnoses. The deployment is expected to reduce outpatient imaging wait times, improve workflow efficiency to reduce radiologist burnout, and enable more consistent care pathways for high-risk cases across all 69 hospitals.
Key Takeaways
- Piloting at 22 sites before enterprise rollout allowed Advocate Health to validate real-world clinical value before committing to system-wide deployment.
- Embedding FDA-cleared algorithms into existing imaging workflows — rather than replacing them — enabled rapid adoption with minimal disruption.
- Scalable AI infrastructure allows new diagnostic capabilities to be continuously added, extending clinical impact as the platform expands.
Explore Related
Vendor
Details
- Industry
- Hospital & Health System
- Use Case
- Medical Imaging & Radiology
- AI Technology
- Computer-Aided Diagnosis
- Company Size
- Enterprise
- Company
- Advocate Health
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
- Source link checked
Cited source
www.aidoc.comHave a similar implementation?
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