Exploring general practitioners’ perceptions of the utility of AI-powered voice-to-text technology for clinical documentation during video consultations in Danish general practice: a qualitative study
Abstract Background Clinical documentation is crucial for maintaining continuity and quality of care; however, it has become increasingly time-consuming and complex in general practice, leading to administrative overload and burnout. Artificial intelligence-powered voice-to-text technologies (AIVT) have emerged as potential solutions to reduce this burden by automatically transcribing and organizing consultations into clinical notes. This study assesses perceptions of the utility of an AIVT tool for clinical doc…

In brief
Eighteen general practitioners from 14 clinics across Denmark's five regions tried Autonotar, an AI tool that produces draft clinical notes while a video consultation takes place. Researchers combined observation, think-aloud sessions and interviews to assess demand, acceptability and expected efficacy.
The doctors linked their interest to growing regulatory and defensive documentation demands. They saw promise in easing paperwork and burnout, but regarded the tool's usefulness as dependent on its accuracy, fit with workflow and data protection. The study records perceptions of one use case, not measured outcomes.
Main points
- The study included 18 GPs from 14 clinics across all five Danish regions.
- Participants tested Autonotar, which generates draft clinical notes during video consultations.
- Regulatory and defensive documentation pressures created a perceived need for technological support.
- GPs emphasized clinical accuracy, workflow alignment and robust data protection as conditions for acceptable use.
- Adoption was said to depend on reliable output, clear accountability and adaptation to different consultation modalities.
The gain
After testing an AI voice-to-text tool that drafts notes during video consultations, Danish GPs expressed cautious optimism that it could cut administrative workload and improve work-life balance.
The rundown
The study used a qualitative design that triangulated observations, think-aloud sessions and semi-structured interviews. Data were analyzed deductively against three predefined criteria: demand, acceptability and perceived future efficacy.
On demand, GPs described documentation as increasingly time-consuming and complex, producing administrative overload and burnout. They saw structural pressures, including regulatory and defensive documentation requirements, as creating a need for support.
The authors conclude that the tool's utility is conditional rather than inherent. Sustainable implementation requires technological maturity and sociotechnical alignment among clinicians, decision-makers and technology providers.
Sources
- Peer-reviewedBMC Primary Care2026-10-19
ace
The debate