In-context: December 2, 2025

Written By Alyssa Pradhan
 

In-context: December 2, 2025

Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points.

  • 00:30 - Ambient AI RCTs

    • A Pragmatic Randomized Controlled Trial of Ambient Artificial Intelligence to Improve Health Practitioner Well-Being

    • Ambient AI Scribes in Clinical Practice: A Randomized Trial

    • AI Scribes Are Not Productivity Tools (Yet)

  • 09:55 - Language models cannot reliably distinguish belief from knowledge and fact

  • 17:20 - Extracting social determinants of health from electronic health records: development and comparison of rule-based and large language models-based methods

Some resources and papers we discuss:

Afshar, M. et al 2025. A Pragmatic Randomized Controlled Trial of Ambient Artificial Intelligence to Improve Health Practitioner Well-Being. NEJM AI 2.. https://doi.org/10.1056/aioa2500945

Lukac P. et al 2025. Ambient AI Scribes in Clinical Practice: A Randomized Trial. NEJM AI 2. https://ai.nejm.org/doi/full/10.1056/AIoa2501000

Kim, E., Liu, VX. Singh, K. 2025 AI Scribes Are Not Productivity Tools (Yet). NEJM AI 2. https://ai.nejm.org/doi/full/10.1056/AIe2501051

Suzgun, M., Gur, T., Bianchi, F. et al. Language models cannot reliably distinguish belief from knowledge and fact. Nat Mach Intell 7, 1780–1790 (2025). https://doi.org/10.1038/s42256-025-01113-8

Wang B. et al 2025. Extracting social determinants of health from electronic health records: development and comparison of rule-based and large language models-based methods. medRxiv 2025.11.15.25339520; doi: https://doi.org/10.1101/2025.11.15.25339520 [preprint]

 
 
Alyssa Pradhan
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In-context: November 3, 2025