Empowering Research with Complete Patient Data

This whitepaper discusses the role of natural language processing (NLP) in enhancing the understanding of unstructured data within electronic health records (EHRs). It outlines the limitations of structured coded data in capturing the full spectrum of patient health information, particularly in complex diseases. The document emphasizes the importance of accessing unstructured clinical notes to gain insights into disease severity, treatment responses, and patient-reported outcomes. It details how NLP can analyze these notes to uncover critical information that structured data alone cannot provide. The paper also highlights the necessity for researchers to collaborate with data providers that have the appropriate rights and capabilities to leverage NLP effectively. By integrating NLP with EHR data, researchers can obtain a comprehensive view of patient journeys, which is essential for advancing drug development and improving clinical strategies. The document concludes by underscoring the value of NLP-enriched data in supporting clinical research and health economics.