{"slug":"doctolib-builds-an-ai-consultation-assistant-on-azure-openai-service-and-mistral-large-that-summarises-consultations-in-15-seconds","url":"https://findausecase.com/use-cases/doctolib-builds-an-ai-consultation-assistant-on-azure-openai-service-and-mistral-large-that-summarises-consultations-in-15-seconds","title":"Doctolib builds an AI consultation assistant on Azure OpenAI Service and Mistral Large that summarises consultations in 15 seconds","description":"Doctolib, a French eHealth company, built a consultation assistant using Azure OpenAI Service (GPT-4o) and Mistral Large on Azure, fine-tuned on proprietary French-language data. It transcribes consultations in real time and produces a structured summary within 15 seconds, which the practitioner reviews and validates. Audio and transcription are destroyed soon after validation. It was beta-tested with over 400 volunteer health professionals.","company":"Doctolib","industry":"Healthcare","country":"France","aiCapabilities":["Generative AI","Large Language Models"],"technology":["Azure OpenAI","Mistral Large"],"deployment":"Public Cloud","problemStatement":"Taking notes on the computer for the patient file and putting together the medical record is time-consuming for practitioners, who Doctolib wants to be able to spend more time looking at their patients rather than their computer screen.","solutionApproach":"Doctolib built a Consultation Assistant that transcribes the consultation in real time and turns it into a structured summary within 15 seconds. Practitioners review, edit and validate the information before it is integrated into the patient's file or shared with the patient. The assistant is based on a series of models including GPT-4o on Azure OpenAI Service, chained with Mistral Large on Azure and built on Azure AI Studio; the models were fine-tuned on proprietary data reannotated in-house in native French. Both the audio and the transcription are destroyed soon after the summary is checked by the practitioner.","businessValue":"According to the Microsoft customer story, consultations are summarised in 15 seconds, aiming to let practitioners spend twice as much time interacting with their patients, and physicians report a reduced mental workload. The assistant was beta-tested with over 400 voluntary health professionals over thousands of consultations per week, with extremely positive feedback.","evidence":{"band":"high"},"sourceUrl":"https://www.microsoft.com/en/customers/story/19557-doctolib-azure-open-ai-service","dates":{"publishedAt":"2026-11-06T05:45:45.263Z","publishedAtSource":"pipeline","updatedAt":"2026-11-06T05:45:45.263Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/doctolib-builds-an-ai-consultation-assistant-on-azure-openai-service-and-mistral-large-that-summarises-consultations-in-15-seconds. Bulk republication requires permission."}