Natural language processing in healthcare helps extract insights from unstructured data and eliminates manual work overload in analyzing, summarizing, and interpreting unstructured data. NLP recognizes characters in a document and comprehends what they mean. It can accurately segment the details and format the data into the Electronic Health Record (EHR) systems. This feature lets hospitals achieve improved clinical documentation, better patient care, efficient analysis of medical documents, and automation of repetitive administrative tasks. By integrating NLP with Robotic Process Automation (RPA), healthcare organizations can automate manual operations and improve the efficiency of processes that entail extracting and analyzing data from documents. This research paper presents how RPA and NLP can be integrated using UiPath Communications Mining. This study also mentions how to create data sets and analyze the end-to-end process to analyze the data in UiPath Communications Mining.