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June 13, 2026Annals of Oncology0 citationsOpen Access

Ambient Artificial Intelligence for Automated Tumor Board Documentation

Prompt-directed ambient artificial intelligence for automated multidisciplinary tumor board documentation

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Authors

RPRamez PhilipsAMA. MahajanLEL. Estephan

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Overview

Prospective quality improvement study shows prompt-directed AI enhances documentation quality in tumor boards, indicating improved efficiency.

Key Points

  • Evaluate the effectiveness of prompt-directed ambient AI for tumor board documentation compared to manual methods.
  • Prospective quality improvement study conducted in 2025 at a tertiary institution
  • Evaluation of both unprompted and prompt-directed ambient AI documentation during head and neck tumor board discussions
  • Documentation assessed using a modified MODe rubric across five domains: demographics, tumor characteristics, radiology findings, pathology findings, and discussion.
  • Prompt-directed ambient AI improved Tumor Characteristics domain score (q = 0.042) and total score (p = 0.005) compared to unprompted AI.
  • Ambient AI showed significant enhancement in total score (p < 0.001) and Discussion domain score (q < 0.001) compared to manual documentation, while reducing administrative time per patient (p < 0.001).
  • Internal validation demonstrated comparable scores across all domains.

Cite This Study

Philips et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf3b4faef96ed7f0561e2https://doi.org/10.1016/j.annonc.2026.05.709
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