Observational studyApplied clinical informatics2024
Effect of Ambient Voice Technology, Natural Language Processing, and Artificial Intelligence on the Patient-Physician Relationship.
Observational study in Applied clinical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06792890 (A Randomized Controlled Trial of Two Ambient Artificial Intelligence Scribe Technologies to Improve Documentation Efficiency and Reduce Physician Burnout), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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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.
A Randomized Controlled Trial of Two Ambient Artificial Intelligence Scribe Technologies to Improve Documentation Efficiency and Reduce Physician Burnout
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review.BMC medical informatics and decision making · 2025Pooled it
- The Influence of Artificial Intelligence Scribes on Clinician Experience and Efficiency among Pediatric Subspecialists: A Rapid, Randomized Quality Improvement Trial.Applied clinical informatics · 2025Trial
- Impact of Emerging Technologies on Outpatient Care Quality: Mixed Methods Study.JMIR rehabilitation and assistive technologies · 2026Review
- Patient and clinician engagement with generative artificial intelligence (GenAI): A scoping review of implications for patient-centered communication.Patient education and counseling · 2026Article
- Transforming clinical documentation with ambient artificial intelligence (AI) scribes: a narrative review of technology, impact, and implementation.Cardiovascular diagnosis and therapy · 2026Review
- The Role of Artificial Intelligence in Shaping the Doctor-Patient Relationship: A Narrative Review.Healthcare (Basel, Switzerland) · 2026Review
- Evaluating ambient artificial intelligence documentation: effects on work efficiency, documentation burden, and patient-centered care.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- The use of ambient voice technology (AVT) for clinician-patient consultations in healthcare practice: A rapid systematic scoping review.BMJ digital health & AI · 2026Article
- Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions.Journal of general internal medicine · 2026Article
- Artificial intelligence and physician burnout: A productivity paradox.Learning health systems · 2025Article
- Deploying ambient clinical intelligence to improve care: A research article assessing the impact of nuance DAX on documentation burden and burnout.Future healthcare journal · 2025Article
- An evaluation framework for ambient digital scribing tools in clinical applications.NPJ digital medicine · 2025Article
- Development and validation of the provider documentation summarization quality instrument for large language models.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- The AI Efficiency Paradox: Reclaiming Quality Patient Care in an Era of Optimization.Journal of medical systems · 2025Article
- Clinician Experiences With Ambient Scribe Technology to Assist With Documentation Burden and Efficiency.JAMA network open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe method of documentation during a clinical encounter may affect the patient-physician relationship.
objectivesEvaluate how the use of ambient voice recognition, coupled with natural language processing and artificial intelligence (DAX), affects the patient-physician relationship.
methodsThis was a prospective observational study with a primary aim of evaluating any difference in patient satisfaction on the Patient-Doctor Relationship Questionnaire-9 (PDRQ-9) scale between primary care encounters in which DAX was utilized for documentation as compared to another method. A single-arm open-label phase was also performed to query direct feedback from patients.
resultsA total of 288 patients were include in the open-label arm and 304 patients were included in the masked phase of the study comparing encounters with and without DAX use. In the open-label phase, patients strongly agreed that the provider was more focused on them, spent less time typing, and made the encounter feel more personable. In the masked phase of the study, no difference was seen in the total PDRQ-9 score between patients whose encounters used DAX (median: 45, interquartile range [IQR]: 8) and those who did not (median: 45 [IQR: 3.5];
conclusionPatients strongly agreed with the use of ambient voice recognition, coupled with natural language processing and artificial intelligence (DAX) for documentation in primary care. However, no difference was detected in the patient-physician relationship on the PDRQ-9 scale.
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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.