The LEGALMIT project aims to validate the suitability of an AI-assisted system for the preliminary triage of patients in primary care (based on the symptoms they report and other related information). This triage is designed to classify the urgency with which patients should be attended to and the need for in-person visits, enabling the allocation of medical appointments based on these criteria.
For patient data collection, a conversational agent will be used, making the interaction with the system simple for the user and automatic for healthcare professionals. Gradiants role will be to design and develop a conversational agent that can extract relevant information (such as symptoms, duration, demographics, etc.) from a conversational flow with the patient. The input and output of this conversational agent will be in text format, and it will support the Spanish language.
Given the scope established in this pilot, the number of conversational flows to be implemented will be limited to ten, although this may vary depending on their complexity.
