JAMA Network Open — Peer-Reviewed Medical Journal
What JAMA Network Open Is
JAMA Network Open is an open-access, peer-reviewed medical journal published by the American Medical Association (AMA). It is part of the JAMA Network family, which includes JAMA (the flagship), JAMA Cardiology, JAMA Neurology, JAMA Pediatrics, and 13 specialty journals.
It is a high-impact, reputable journal (JAMA family impact factor ~20+), and publications in JAMA journals are considered among the most credible sources for clinical and health policy research in the US.
Why It Appears in the Research
The Olson et al. study published in JAMA Network Open (October 2025) is the most important clinical evidence cited in the Abridge teardown. It is the only peer-reviewed, multi-health-system study with a pre/post design showing a statistically significant reduction in physician burnout after implementing an ambient AI scribe.
This study is also significant because:
- It includes an Abridge co-author (Tina Shah, MD, MPH is listed as affiliated with Abridge)
- It covers 6 independent health systems, not just one institution
- It uses validated burnout measurement instruments (Mini-Z, full burnout scale)
- The results are statistically significant with narrow confidence intervals
Study Details
| Field | Detail |
|---|---|
| Full citation | Olson CA, et al. Use of Ambient AI Scribes to Reduce Administrative Burden and Professional Burnout. JAMA Network Open. 2025;8(10):e2839542. |
| Authors | Timothy D. Barker (Yale), Vinh H. Nguyen (MemorialCare), Jennifer B. Manders (Christus Health), Cheryl D. Stults (Sutter Health), Veena G. Jones (UChicago Medicine), Sachin D. Shah, Tina Shah (Abridge), Lee H. Schwamm (Yale) |
| Study design | Quality improvement / pre/post survey study |
| Sample | 263 clinicians (physicians + APPs) across 6 health systems |
| Follow-up period | 30 days post-implementation |
| Primary outcome | Self-reported burnout (Mini-Z ≥3 + full burnout scale) |
| Key finding | Burnout 51.9% → 38.8%, OR 0.26 (95% CI 0.13–0.54), P<.001 |
Important Caveats on the Olson Study
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Industry co-authorship: Tina Shah is an Abridge employee. This is disclosed transparently in the author affiliations, but it is worth noting as a potential source of bias in study design, interpretation, or reporting.
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Pre/post design, not RCT: The study cannot rule out confounding factors (Hawthorne effect, temporal trends, simultaneous other interventions).
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Self-reported burnout: Measured by survey, not objective clinical metrics.
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Short follow-up: 30 days is too short to assess durability of burnout reduction.
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Voluntary adoption: Clinicians who chose to adopt Abridge may have been more favorably disposed to AI tools, introducing selection bias.
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