  A major roadblock in the seamless digitization of medical records remains the
lack of interoperability of existing records. Extracting relevant medical
information required for further treatment planning or even research is a time
consuming labour intensive task involving expenditure of valuable time of
doctors. In this demo paper we present, MedPromptExtract an automated tool
using a combination of semi supervised learning, large language models, natural
language processing and prompt engineering to convert unstructured medical
records to structured data which is amenable for further analysis.
