- Reported result:
- Up to 80% ADR Staff Time Saved
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
Large Language Models & Generative AI in Hospital & Health System
Explore 20 documented Large Language Models & Generative AI deployments in Hospital & Health System. These source-extracted records passed the automated evidence gate; that is not independent fact verification.
This evidence set isolates Large Language Models & Generative AI deployments within Hospital & Health System. The records below identify the implementing organization, technology and vendor when reported, source-reported results, cited source, and missing evidence explicitly.
Documented Large Language Models & Generative AI implementations in Hospital & Health System
- Reported result:
- Not reported by source
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
Cleveland Clinic
Cleveland Clinic deploys AKASA AI coding tool enterprise-wide in four months, processing tens of thousands of encounters
- Reported result:
- 4 months (all U.S. locations) Deployment Timeline
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
Cleveland Clinic
Cleveland Clinic automates mid-revenue cycle coding with AKASA AI, achieving 80-90% automation rate
- Reported result:
- 80–90% Coding Automation Rate
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
Atrium Health
Atrium Health DAX Copilot Study Finds 7% Documentation Time Reduction Only for High-Utilization Clinicians
- Reported result:
- 7% Documentation Hours Reduction (High Users)
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
Piedmont Healthcare
Piedmont Healthcare reaches 93rd percentile Net EHR Experience Score through AI-powered in-basket management and clinical workflow optimization
- Reported result:
- 93rd percentile Net EHR Experience Score
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
Duke Health
Duke Health deploys Abridge ambient AI documentation to 5,000 clinicians across 150+ clinics
- Reported result:
- 5,000 Clinicians with Access
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Abridge
Corewell Health
Corewell Health achieves 48% reduction in after-hours documentation and 53% burnout reduction with Abridge AI
- Reported result:
- 48% After-Hours Documentation Reduction
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Abridge
WellSpan Health
WellSpan Health achieves 97% patient satisfaction improvement with Nuance DAX Copilot ambient clinical documentation
- Reported result:
- 88% Patient Satisfaction (Extremely Satisfied)
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
Cleveland Clinic
Cleveland Clinic boosts ICD-10 capture and case mix index with GenAI-powered inpatient coding
- Reported result:
- ~50% AI Recommendation Acceptance Rate
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
Johns Hopkins Medicine
Johns Hopkins Medicine reduces clinician documentation burden with ambient AI scribing across outpatient clinics
- Reported result:
- Not reported by source
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
- Reported result:
- $1.7M Total Cost Savings
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Qventus
Fraser Health
Fraser Health cuts discharge documentation time by 56% with MEDITECH AI-powered Hospital Course Summary
- Reported result:
- 7 minutes per patient (56% reduction, 12.5 min → 5.5 min) Discharge Documentation Time Saved
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
UC San Francisco
UCSF AI matches physicians at ED triage, correctly identifying urgent cases 89% of the time
- Reported result:
- 89% Triage Accuracy (AI, full sample)
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
Northwestern Medicine
Northwestern Medicine adds 11.3 patients per month with DAX Copilot ambient AI documentation
- Reported result:
- 11.3 Additional Patients Per Month
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
Johns Hopkins Medicine
Johns Hopkins Medicine boosts patient satisfaction 5 points with Abridge AI ambient documentation
- Reported result:
- ~5 percentage points Patient Satisfaction Score Increase
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Abridge
Multiple U.S. Health Systems (incl. Yale New Haven Health System)
Abridge AI Scribes Reduce Physician Burnout by 74% Across Six U.S. Health Systems
- Reported result:
- 74% Reduction in Burnout Odds
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Abridge
NYU Langone Health
NYU Langone AI tool predicts post-discharge skilled nursing need with 88% accuracy
- Reported result:
- 88% Discharge Destination Prediction Accuracy
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
Medical City Dallas
Medical City Dallas reduces H&P documentation time 18% with Commure Ambient AI in MEDITECH
- Reported result:
- 18% H&P Documentation Time Reduction
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record
- Reported result:
- 43 minutes Daily Time Saved Per Staff Member
- Deployment timeframe:
- Not reported by source
- Technology:
- Large Language Models & Generative AI
- Vendor:
- Not available in record