The Real-World Data Disconnect: Why Insights Still Fall
Short in Complex Populations
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Real-world data (RWD) plays a critical role in life sciences research, but many datasets still fall short in representing complex, comorbid, and socially at-risk populations. Fragmented data sources and limited clinical depth often lead to incomplete or skewed insights. This whitepaper explores the disconnect between the promise of RWD and the reality of its execution, emphasizing the need for deeper, more inclusive evidence. By integrating structured and unstructured EHR data—including insights extracted through natural language processing (NLP)—with longitudinal claims data, Veradigm helps close critical evidence gaps. This approach reveals trends in disease progression, uncovers care disparities, and delivers clinically meaningful insights, enabling more equitable, data-driven decisions across research, development, and population health initiatives.
