Ambient Artificial Intelligent Scribes in Oncology: Impact on Clinician Experience and Documentation Burden
PURPOSE Ambient artificial intelligence (AI) scribes, widely implemented to reduce clinician burden and dissatisfaction, are not optimized for oncology. We evaluated this technology at-scale at a high-volume cancer center. METHODS This prospective mixed-methods study used surveys, electronic health record (EHR), and utilization data to assess adoption, burden, and satisfaction with an ambient AI scribe that was implemented from June to September 2025. Descriptive statistics categorized clinicians as adopters (3+…
Among oncology clinicians who completed both surveys, high or excessive note-writing time fell after the AI scribe rollout, and most postrollout respondents said they would recommend it.
Despite enterprise-wide implementation and training, only about one in five oncology clinicians used the AI scribe, and measured note-closing and after-hours documentation changes were small or inconsistent.
Adoption was low and survey samples were small (45 paired respondents, 77 postrollout), and the authors say adoption barriers and tool optimization still need study, so the results may not represent all oncology clinicians.
Evidence
- Peer-reviewedJCO Oncology Practice2026-10-17
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Truvace Impact Record TRV-2026-1819, v1: “Ambient Artificial Intelligent Scribes in Oncology: Impact on Clinician Experience and Documentation Burden.” Truvace, 2026-10-18. /record/TRV-2026-1819 (accessed at citation time). sha256 d7a496d747d92287…
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