ArticleMissouri medicine
How Ambient AI Could Bring the Human Touch Back to Medicine.
Article in Missouri medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The United States healthcare system is facing historic levels of clinician burnout and workforce shortage fueled in large part by the onerous demands inherent in electronic health records (EHR). Ambient artificial intelligence (AI) scribe technology, such as Nuance's Dragon Ambient eXperience (DAX), has emerged as a tool to automate clinical documentation via transcribing and summarizing patient-clinician interactions. Studies demonstrate reductions in documentation time, after-hours work, and clinician-reported burnout, alongside improvements in efficiency, patient engagement, and patient and clinician satisfaction. Challenges remain, however, regarding data privacy, algorithmic bias, regulatory oversight, and clinical validation. In the future, ambient AI scribes will evolve beyond transcription, integrating prior patient records, and expand into allied health fields, including nursing. Ambient AI offers a transformative opportunity to strengthen healthcare delivery while preserving humanity in medicine by allowing clinicians to spend more time in face-to-face interactions and less time performing word processing tasks in the EHR.
Indexed as
Identifiers
42125288PMC13160460What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.