Specific tasks for NLP systems may include: Summarizing lengthy blocks of narrative text, such as a clinical note or academic journal article, by identifying key concepts or phrases present in the source material Mapping data elements present in unstructured text to structured fields in an electronic health record in order to improve clinical data integrity Converting data in the other direction from machine-readable formats into natural language for reporting and educational purposes Answering unique free-text queries that require the synthesis of multiple data sources Engaging in optical character recognition to turn images, like PDF documents or scans of care summaries and imaging reports, into text files that can then be parsed and analyzed Conducting speech recognition to allow users to dictate clinical notes or other information that can then be turned into text NLP in Healthcare In the healthcare industry, Natural language processing has many potential applications