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Northwestern Medicine adds 11.3 patients per month with DAX Copilot ambient AI documentation

“Northwestern Medicine adds 11.3 patients per month with DAX Copilot ambient AI documentation” documents a Clinical Documentation & Patient Records deployment in Hospital & Health System at Northwestern Medicine. blogs.microsoft.com reports additional patients per month: 11.3; this directory has not independently verified that result.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

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.

11.3Additional Patients Per Month
24%Reduction in Note Time
17%Decrease in After-Hours Work

Source-reported figures — cited source: blogs.microsoft.com

Northwestern Medicine
Metric Before After Impact
Additional Patients Per Month 11.3 11.3 more patients per month
Note Documentation Time 100% 76% 24% reduction
After-Hours Administrative Work 100% 83% 17% reduction

The Challenge

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.

The Solution

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

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Details

Company Size
Enterprise
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published
Source link checked

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