IMIA
As an 'association of associations', IMIA acts as a bridging organisation, bringing together the constituent organisations and their members. IMIA provides leadership and expertise to the multidisciplinary, health focused community and to policy makers, to enable the transformation of healthcare in accord with the world-wide vision of improving the health of the world population.
26/05/2026
Ambient Artificial Intelligence Scribes in Pediatric Hematology—Oncology: Early Implementation of DAX Copilot
Molly Talman, Lamia Alam, Dara Mize, Yaa Kumah-Crystal, Carolynn Nall, Allison B. McCoy, Adam Wright, Laura Zahn, Jennifer Andrews
Background Ambient artificial intelligence scribes are increasingly integrated into electronic health records to reduce documentation burden, but limited data describe their performance in high-complexity pediatric subspecialties.
Objectives This study aimed to describe the early implementation of Dragon Ambient Experience (DAX) Copilot in a pediatric hematology–oncology division and evaluate patterns of use, documentation time, and workflow effect among providers who adopted the tool.
Methods We reviewed outpatient encounters from January to July 2025 and identified those using DAX. Analyses focused on providers who used DAX more than twice, given low overall adoption. Documentation time (minutes spent in active editing sessions) and note-closure timeliness were compared between DAX and non-DAX encounters. Implementation processes, barriers, and accuracy concerns were qualitatively summarized.
Results Of 11,544 outpatient encounters, 427 (3.7%) involved DAX; 10 of 29 providers used DAX at least once, while 6 (20.7%) used it more than twice. Among repeat users, for shorter encounters (≤40 minutes), median documentation time was lower for DAX versus non-DAX (11 [interquartile range, (IQR): 13] vs. 24 [IQR: 30] minutes), corresponding to an approximately 30% lower documentation time (95% confidence interval [CI], 19.9–38.4%; p < 0.001). For longer encounters (>40 minutes), documentation time did not differ significantly. Although unadjusted analyses showed lower rates of same-day and 7-day note closure with DAX, these differences were not significant after adjustment in mixed-effects logistic regression models. Providers reported improved engagement with families and narrative drafting; limitations were related to workflow alignment rather than transcription accuracy.
Conclusion For repeat users, DAX reduced active documentation time in shorter visits but showed limited benefit for longer encounters and did not improve the timeliness of note closure. Adoption remained modest, underscoring the importance of workflow fit and usability considerations in AI-scribe deployment.
https://www.thieme-connect.com/products/ejournals/abstract/10.1055/a-2873-3894
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