Duke Health AI case studies

Browse 2 documented AI medicine implementations at Duke Health. These source-extracted records passed the automated evidence gate; that is not independent fact verification.

Hospital & Health System · Enterprise · 2 AI implementations

Duke Health has 2 documented AI medicine implementations covering workflows including Clinical Documentation & Patient Records, Surgical & Perioperative Care and technology including Large Language Models & Generative AI, Machine Learning & Predictive Analytics. The records below separate source-reported results from evidence the source did not provide.

Last updated: Mar 28, 2026
Maintained by: Peter KorpakLead Editor
Methodology: How evidence is checked

Case Studies

Use Case Types

Technologies

AI implementations at Duke Health

Duke Health

Duke Health deploys Abridge ambient AI documentation to 5,000 clinicians across 150+ clinics

Hospital & Health SystemClinical Documentation & Patient RecordsLarge Language Models & Generative AI

Reported result:: 5,000 Clinicians with Access
Deployment timeframe:: Not reported by source
Technology:: Large Language Models & Generative AI
Vendor:: Abridge

Cited source: corporate.dukehealth.orgSource link checked Jul 28, 2026Automated evidence gate passed

Duke Health

Duke Health algorithm improves OR scheduling accuracy by 13% across 33,000 surgical cases

Hospital & Health SystemSurgical & Perioperative CareMachine Learning & Predictive Analytics

Reported result:: 13% Scheduling Accuracy Improvement vs. Human Schedulers
Deployment timeframe:: Not reported by source
Technology:: Machine Learning & Predictive Analytics
Vendor:: Not available in record

Cited source: corporate.dukehealth.orgSource link checked Jul 28, 2026Automated evidence gate passed

More in Hospital & Health System

UnityPoint Health5 Houston Methodist5 Mayo Clinic5 Cleveland Clinic5 Johns Hopkins Medicine5 Northwestern Medicine3 Zuckerberg San Francisco General Hospital3 Mercy3 Allina Health2 Adventist Health Rideout2