N/A
N=238
A Randomized Controlled Trial of Ambient Artificial Intelligence Scribe Technologies
Physician Workflow · Artificial Intelligence (AI)
Bottom Line
View on ClinicalTrials.gov: NCT06792890 ↗Enrolled (actual)
238
Serious AEs
0.0%
Results posted
Apr 2026
Primary outcome: Primary: Change in the Time in Notes Per Note — -0.85; -0.46; -0.29 ln(minutes per note)
Study Design & Population
- Study type
- Interventional
- Phase
- N/A
- Interventions
- Use Nabla AI Scribe tool provided (Other); Use AI Scribe tool provided by Vendor B (Other)
- Age
- Pediatric, Adult, Older Adult
- Sex
- All
- Sponsor
- University of California, Los Angeles
- Primary completion
- Jan 2025
Outcome Measures
| Outcome | Result | p-value |
|---|---|---|
| PRIMARY Change in the Time in Notes Per Note |
-0.85; -0.46; -0.29 | — |
| SECONDARY Provider Burnout Score |
30.43; 31.25; 29.30 | — |
| SECONDARY Provider Task Load Score |
56.74; 50.33; 60.48 | — |
| SECONDARY Provider Professional Fulfillment |
1.67; 1.51; 1.82 | — |
| SECONDARY Number of Physicians Who Are Considered Detractors, Passive, or Promoters |
25; 21; 17; 15; 23; 30 | — |
| SECONDARY Change in Provider RVU |
-58.66; -13.89; -30.69 | — |
| SECONDARY Change in EHR Signal (Activity) Data - Pajama Time |
1.62; 0.33; -3.71 | — |
| SECONDARY Change in EHR Signal (Activity) Data - Time Outside Scheduled Hours |
-5.31; -1.70; -1.43 | — |
| SECONDARY Change in EHR Signal (Activity) Data - Time on Unscheduled Days |
-6.63; 1.51; -3.38 | — |
Summary
This is a three-arm pragmatic RCT of 238 outpatient physicians at a large academic health system, randomized 1:1:1 to one of two AI scribe tools or a usual-care control group. The two-month study will observe and compare the effects of each tool prior to system-wide roll out of selected tool (anticipated Spring 2025). We will use covariate-constrained randomization to balance the arms in terms of physician baseline time in notes, survey-measured level of burnout, and clinic days per week.
The primary purpose of the initiative is to improve quality, efficiency, and business operations at University of California, Los Angeles (UCLA) Health, and this initiative is not being done for research purposes. The results of this operational initiative will inform the widespread roll out of AI scribe tools across all providers within the UCLA Health System. Nevertheless, the UCLA study team plans to rigorously examine and publish the impact of this intervention across the health system, which is why the study team pre-registered the initiative.
Eligibility Criteria
Inclusion Criteria
- Ambulatory care physicians within the UCLA Health system who held at least one half-day of clinic per week
Exclusion Criteria
- Trainee providers (e.g., residents, medical students) and allied healthcare professionals (e.g., RNs, PAs)
- Attendings who work exclusively with trainees
Data sourced from ClinicalTrials.gov (NCT06792890). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.