A Conversational Agent for Handling Health Report Inquiries

The current method of retrieving electronic health records requires user-centered systems to allow patients efficient access to their own health information. Traditional methods, which often require waiting long bureaucratic times, also present obstacles for patients due to complex interfaces and complex medical terminology. This paper addresses this challenge by designing, developing, and evaluating a system based on a conversational interface for retrieving medical reports. Leveraging the power of natural language processing (NLP) and machine learning techniques, the proposed system aims to improve accessibility and usability. NLP techniques enable the system to understand user intentions and translate queries from natural language into formats readable by Artificial Intelligence. Machine learning models then facilitate the retrieval of relevant medical reports based on the user’s intent.