Medical City Dallas reduces H&P documentation time 18% with Commure Ambient AI in MEDITECH

Medical City Dallas deployed Large Language Models & Generative AI for Clinical Documentation & Patient Records in Hospital & Health System. As reported by www.commure.com: 18% h&p documentation time reduction.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
18%H&P Documentation Time Reduction
11%H&Ps Signed Within One Week Increase

Source-reported figures (cited source: www.commure.com)

What Medical City Dallas was trying to fix

Clinicians at Medical City Dallas, part of HCA Healthcare's North Texas Region, were spending substantial time completing histories and physicals within MEDITECH, limiting time available for direct patient interaction and increasing documentation burden.

What Medical City Dallas deployed

Commure Ambient AI was deployed within MEDITECH Expanse, enabling clinicians to capture encounters via ambient recording and auto-generate clinical notes without leaving native EHR workflows. The system learns from provider edits over time to adapt to individual documentation styles.

Results

The deployment produced an 18% reduction in time spent completing histories and physicals, and an 11% increase in H&Ps signed within one week. Clinicians reported improved ability to focus on patient interaction rather than screen-based documentation.

Key Takeaways

  • Ambient AI embedded in the native MEDITECH workflow removes friction and accelerates adoption compared to standalone tools.
  • Measurable gains in documentation speed compound into meaningful time savings at enterprise scale.
  • Clinician satisfaction improves when documentation burden is reduced without disrupting established workflows.

Evidence for Medical City Dallas's Clinical Documentation & Patient Records deployment

Reported outcome metrics
2 cited below
Cited source
www.commure.com
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 →