Digital Scribing is an innovative AI tool designed to analyze transcribed clinical conversations, automatically generating concise summaries to aid in clinical charting. Leveraging natural language understanding and artificial intelligence, the IP identifies patterns within conversations and facilitates efficient documentation for healthcare providers and nurses. By automating the summarization process, Digital Scribing would alleviate the documentation burden in clinical settings, thus enhancing workflow efficiency and patient care. The key advantage of Digital Scribing lies in its ability to accurately summarize clinical conversations based on real-world data. Unlike existing methods, which may lack specificity or fail to capture nuances in medical terminology, the IP is trained and tested using authentic clinical conversations. This approach ensures greater accuracy and relevance, particularly in provider-to-provider interactions and counseling sessions. Its adaptability to different clinical contexts makes it a valuable asset for hospitals seeking to streamline documentation processes and improve operational efficiency. Future iterations may extend its applicability to in-person conversations, further expanding its utility across various healthcare settings.