Northwestern Medicine adds 11.3 patients per month with DAX Copilot ambient AI documentation
Northwestern Medicine deployed Large Language Models & Generative AI for Clinical Documentation & Patient Records in Hospital & Health System. As reported by blogs.microsoft.com: 11.3 additional patients per month.
Source-reported figures (cited source: blogs.microsoft.com)
What Northwestern Medicine was trying to fix
Northwestern Medicine physicians were burdened by extensive clinical documentation requirements that reduced time available for patient care and required significant after-hours administrative work, contributing to clinician burnout.
What Northwestern Medicine deployed
Northwestern Medicine deployed DAX Copilot, an ambient AI voice-enabled solution that automatically converts multiparty clinician-patient conversations into specialty-specific draft clinical summaries integrated directly into the Epic EHR workflow.
Results
Physicians using the solution in at least 50% of patient encounters can see an average of 11.3 additional patients per month. Users spend an average of 24% less time on notes and report a 17% decrease in 'pajama time' — after-hours administrative work.
Key Takeaways
- Ambient AI documentation can meaningfully expand patient access without adding clinical hours
- Reducing after-hours documentation time is a key driver of clinician well-being at scale
- Wide adoption (50%+ of encounters) is achievable across a large enterprise health system
Evidence for Northwestern Medicine's Clinical Documentation & Patient Records deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- blogs.microsoft.com
- Last updated
- Source link checked
Explore Related
Details
- Industry
- Hospital & Health System
- AI Technology
- Large Language Models & Generative AI
- Company Size
- Enterprise
- Company
- Northwestern Medicine
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