Everyone is talking about ambient AI scribes, but until now, we’ve relied on marketing hype and small pilots. This week, we dive into two landmark Randomized Controlled Trials published in NEJM AI featuring Abridge, DAX Copilot, and Nabla. The results? Complicated. We explore why these tools might be solving burnout without actually saving time, the hidden "measurement trap" in electronic health records, and why the real revolution isn't about writing notes—it’s about what happens next.

References:

The Editorial: AI Scribes Are Not Productivity Tools (Yet)

Authors: Eileen Kim, Vincent X. Liu, and Karandeep Singh

NEJM AI. 2025;2(12).

DOI: 10.1056/AIe2501051

The UCLA Study (Comparing DAX Copilot, Nabla, and Control): Ambient AI Scribes in Clinical Practice: A Randomized Trial

Authors: Paul J. Lukac, William Turner, Sitaram Vangala, Aaron T. Chin, Joshua Khalili, Ya-Chen Tina Shih, Catherine Sarkisian, Eric M. Cheng, and John N. Mafi

NEJM AI. 2025;2(12).

DOI: 10.1056/AIoa2501000

The UW Health Study (Testing Abridge): A Pragmatic Randomized Controlled Trial of Ambient Artificial Intelligence to Improve Health Practitioner Well-Being

Authors: Majid Afshar, Mary Ryan Baumann, Felice Resnik, Josie Hintzke, Anne Gravel Sullivan, Graham Wills, Kayla Lemmon, Jason Dambach, Leigh Ann Mrotek, Mariah Quinn, Kirsten Abramson, Peter Kleinschmidt, Thomas B. Brazelton, Margaret A. Leaf, Heidi Twedt, David Kunstman, Brian Patterson, Frank Liao, Stacy Rasmussen, Elizabeth S. Burnside, Cherodeep Goswami, and Joel Gordon

NEJM AI. 2025;2(12).

DOI: 10.1056/AIoa2500945

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