At a glance
ClinicalIndex Comparison RecordStandardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.
A Randomized Controlled Trial of Two Ambient Artificial Intelligence Scribe Technologies to Improve Documentation Efficiency and Reduce Physician Burnout
In Brief
A clinical study evaluating Use Nabla AI Scribe tool provided and Use AI Scribe tool provided by Vendor B for Physician Workflow and Artificial Intelligence (AI). Completed, enrolled 238 participants across 1 site.
Detailed 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.
Study Details
Timeline
Interventions
AI Scribe technologies capture physician-patient conversations to create a transcript, then summarize the transcript in the form of a clinical notes. These tools are integrated into the EHR and automatically adds the generated text to the provider note. All physicians must inform patients about the recording and obtain their verbal consent, and instances of patients declining to consent are tracked. Nabla leverages its proprietary speech-to-text to transform the conversation into a written context, combined with HIPAA compliant Large Language Models (LLM) like Azure OpenAI's GPT-4. Nabla does not store any audio.
AI Scribe technologies capture physician-patient conversations to create a transcript, then summarize the transcript in the form of a clinical notes. These tools are integrated into the EHR and automatically adds the generated text to the provider note. All physicians must inform patients about the recording and obtain their verbal consent, and instances of patients declining to consent are tracked.