A guide for evaluating the impact of ambient AI on clinicians
A first-of-its-kind, peer-reviewed study published in JAMA Network Open provides compelling evidence for what anecdotal reports previously suggested: ambient AI not only reduces documentation burden — it improves clinician wellbeing.
Led by Yale School of Medicine and conducted across six health systems, the study used a validated survey tool to measure cognitive load, burnout and patient-centered care. Results showed:
- 25% drop in burnout
- 37% reduction in cognitive load
- 31% rise in attention given directly to patients
This guide explains the study’s design, the Abridge Clinician Survey methodology and how hospitals can apply similar research to evaluate AI’s real-world impact.
What’s inside:
- Summary of findings from Yale’s ambient AI study
- Explanation of key clinical metrics used to assess effectiveness
- A blueprint for running additional studies
Please fill out the form to download the whitepaper.