Abstract
The quality of medical records is paramount for effective patient care, yet it is often compromised by the need for doctors to type information during consultations. This practice not only consumes valuable time that could be better spent on patient interaction but also increases the risk of medical errors due to repetitive copy-pasting. This paper examines the implementation and impact of Voa, an AI-driven tool designed to transform audio from medical consultations into optimized clinical documents. Utilizing automatic transcription technologies like Whisper and generative artificial intelligence, Voa generates accurate and comprehensive medical records from consultation audio. The study, conducted from February to May 2024, assessed Voa's effectiveness through metrics such as the number of anamneses generated, user adoption rates, and activation rates. Results indicate a significant increase in both document generation and user adoption, reflecting growing acceptance and confidence in the platform. The findings highlight Voa's potential to improve documentation quality, reduce medical errors, and enhance doctor-patient interactions, ultimately promoting more human-centered healthcare practices. This experience report underscores the transformative impact of Voa in medical documentation, advocating for broader adoption of such technologies in clinical settings.
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