Healthcare professionals can now use chatbot technology, natural language processing and existing healthcare PDF documents to quickly and efficiently extract critical insights. Only 20% of healthcare data is structured and can be used by traditional applications, with 80% remaining unused. Through language understanding and analysis, chatbots can be built to dig deeper into unstructured data to extract useful insights that can help healthcare professionals provide better patient care. This blog post demonstrates how to build a chatbot that uses ChatGPT and LangChain to extract insights from Adverse Drug Reaction (ADR) reports. By automating the extraction process, healthcare professionals can save time and resources.
source update: Build a Chatbot With ChatGPT… – Towards AI