Whitepaper: How Natural Language Processing unlocks data to improve patient safety, quality, and reporting
As the healthcare industry evolves to embrace value-based payment models, patient safety improvement initiatives, and adherence to quality measures, natural language processing (NLP) has become increasingly important for its ability to unlock the value of unstructured data.
Healthcare enterprises have access to vast amounts of clinical, administrative, and billing data. However, as much as 80% of this important data is stored in an unstructured format that is difficult and highly time consuming to access manually and, thus, to glean actionable insights from. NLP makes unstructured data usable by automating the identification and extraction of key concepts from large volumes of clinical documentation. Findings are transformed into structured data to streamline chart review and identification of high-risk patients.
Through discussion of the issues facing healthcare organizations (HCOs) in this area, and case studies of Linguamatics NLP customers, this white paper examines how more and more HCOs are utilizing NLP to advance patient safety, streamline operations, and improve quality of care and reporting initiatives.