Johns Hopkins Medicine
See 5 documented AI implementations at Johns Hopkins Medicine. Real case studies with metrics and ROI data from hospital & health system.
Hospital & Health System · Enterprise · 5 AI implementations
Johns Hopkins Medicine is a enterprise hospital & health system medicine company with 5 documented AI implementations spanning Clinical Decision Support, Clinical Documentation & Patient Records. Their AI initiatives focus on Clinical Decision Support using Machine Learning & Predictive Analytics.
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Case Studies
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Use Case Types
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Technologies
AI implementations at Johns Hopkins Medicine
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Johns Hopkins Medicine
Johns Hopkins TREWS identifies 82% of sepsis cases early, cuts time to antibiotics by 1.85 hours
Hospital & Health SystemClinical Decision SupportMachine Learning & Predictive Analytics
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Johns Hopkins Medicine
Johns Hopkins AI System Detects Severe Sepsis Nearly 6 Hours Earlier Than Traditional Methods
Hospital & Health SystemClinical Decision SupportMachine Learning & Predictive Analytics
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Johns Hopkins Medicine
Johns Hopkins Medicine reduces clinician documentation burden with ambient AI scribing across outpatient clinics
Hospital & Health SystemClinical Documentation & Patient RecordsLarge Language Models & Generative AI
Johns Hopkins Medicine
Johns Hopkins Medicine boosts patient satisfaction 5 points with Abridge AI ambient documentation
Hospital & Health SystemClinical Documentation & Patient RecordsLarge Language Models & Generative AI
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Johns Hopkins Medicine
Johns Hopkins hospitals reduce sepsis mortality by 20% with AI early warning system detecting cases 6 hours sooner
Hospital & Health SystemClinical Decision SupportMachine Learning & Predictive Analytics
AI Roadmap — Two hours charting for every hour with patients. Prior auth eating your back office. Both fixable, in the right order. 12 pages, 72 hours.