Ambient Scribe in General Practice: a Multi-perspective Before-after Longitudinal Mixed-methods Study

General practitioners (GPs) in the Netherlands are under unsustainable pressure. Recent surveys show that 68% of general practitioners find the workload too high and 18% find their work extremely or very stressful. The pressure on GPs significantly harms patient care, as reduced physician well-being can negatively impact patient experiences, treatment adherence, patient-provider communication, healthcare costs, care quality, and patient safety. A key contributor to the stress is the increasing time commitment associated with clinical documentation. The documentation process has evolved into a time-intensive task, which is a significant obstacle to efficient patient care. Large language models (LLMs) are promising artificial intelligence (AI) solutions to reduce the documentation in general practice. In this project, the investigators aim to study an AI-based transcription and reporting tool in general practice.