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.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
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

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
Last updated
Source link checked

Share:

Have a similar implementation?

Share your customer's AI results and link it to your vendor profile.

Submit a case study →