Veradigm expands real-world data capabilities with NLP-driven EHR insights

Veradigm will integrate NLP into its EHR dataset, enhancing real-world data (RWD) analysis and research by transforming unstructured data into structured, regulatory-grade insights. 

Veradigm®, a prominent healthcare data and technology solutions provider, has announced the full integration of advanced natural language processing (NLP) into its electronic health record (EHR) dataset. This development enhances researchers’ ability to access and analyze unstructured patient data, combining it with structured information to create regulatory-grade RWD for comprehensive research purposes. 

With data sourced from more than 154 million unique patient records, the Veradigm Network EHR Data represents one of the largest and most diverse ambulatory datasets in the US. With a wide range of geographically and demographically diverse patients, the dataset provides a comprehensive view of healthcare trends. Over five billion distinct patient notes, collected across multiple EHR systems over a five-year period, are processed using Veradigm’s NLP technology, converting unstructured data into structured formats for research applications. 

According to Stuart Green, Senior Vice President and General Manager at Veradigm, “The future of healthcare research relies on access to real-time, comprehensive data, and a significant portion of this data is unstructured. Veradigm has invested in developing solutions that bring together disparate structured and unstructured data to provide researchers a more comprehensive understanding of the patient journey.”  

The collaboration between Veradigm's clinicians and data scientists ensures that the NLP models used can extract clinically relevant insights. These structured data outputs support a wide range of research applications, including clinical trials, regulatory submissions, and safety studies. Researchers can leverage this data to better understand patient care pathways and outcomes, while ensuring that the data remains compliant with regulatory standards through de-identification and standardization processes. 

Veradigm Network EHR Data integrates seamlessly with third-party datasets, offering researchers flexibility to expand their analyses. This capability enhances linkage across data sources, improving the depth and breadth of insights and maximizing the potential of RWD in healthcare research by enabling more comprehensive studies. 

By incorporating NLP into its extensive dataset, Veradigm aims to advance the ability to analyze unstructured data at scale, unlocking new opportunities for innovation in real-world evidence research. This integration bridges structured and unstructured data, giving researchers a more comprehensive view of patient experiences and better tools to understand the complexities of healthcare delivery.