MICA: Medical Intelligent Conversational AgentHow to optimize medical teleconsultations for sports patients via a conversational agent?
Laurent Cervoni, Tonie Fares, Mehdi Roudesli

TL;DR
This paper introduces MICA, a conversational agent designed to enhance medical teleconsultations for sports patients by improving information quality, consultation efficiency, and diagnostic accuracy through targeted patient-physician interactions.
Contribution
The paper presents a novel conversational assistant that optimizes teleconsultations by providing physicians with key patient information upfront, improving communication and diagnostic outcomes.
Findings
Enhanced patient information collection at session start
Improved consultation efficiency and focus
Potential for more accurate diagnoses
Abstract
The coronavirus crisis has increased medical teleconsultations (in France) by 10 times between 2019 and the first 3 months of 2020. However, the consultation and teleconsultation process have remained much the same. To improve the patient pathway and the efficiency of a session, we have developed a conversational assistant to optimize the time spent with the patient, the quality of the information transmitted to the physicians and thus the accuracy of diagnosis. One of the chatbot's interests is to give the physicians at the beginning of the consultation key elements for further inquiry. In this way, the system aims to help the patients concentrate and well describe their problem, which leads to more meaningful interactions with physicians and helps to enable them to operate more efficiently.
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Taxonomy
TopicsDigital Mental Health Interventions · AI in Service Interactions
