Precision in Practice: Real-World Data as the Catalyst for Transforming Diabetes Care
Featured White Paper
Diabetes is one of the most pressing global health challenges, affecting more than 591 million people worldwide, and millions remain undiagnosed. Delayed diagnosis increases the risk of cardiovascular disease, kidney damage, nerve complications, and vision loss — complications that diminish quality of life and drive healthcare costs into the trillions. Despite a century of progress since the discovery of insulin, diabetes care remains largely reactive, addressing symptoms only after they appear.
Traditional approaches often rely on standardized treatment protocols, but diabetes is not a one-size-fits-all condition. Every patient’s journey is shaped by unique factors such as genetics, age, lifestyle, and access to care. Without the ability to anticipate risk and tailor interventions, gaps in care persist. What if we could move from reactive treatment to proactive, precision care?
That’s where real-world data (RWD) comes in, and Veradigm is leading the way. RWD aggregates insights from electronic health records, claims data, and registries to create a comprehensive view of patient health. Unlike clinical trial data, which is limited to controlled environments, RWD reflects the complexity of everyday life. It captures patterns in blood glucose levels, medication adherence, and lifestyle behaviors across diverse populations.
Veradigm Network EHR Data takes this further by providing direct access to more than 150 million patient records* through multiple EHR sources within the Veradigm Network. This nationally representative dataset spans primary care and major specialties across urban and rural practices, offering longitudinal insights and near real-time access. Veradigm enriches this data using advanced natural language processing (NLP) to unlock critical information often trapped in unstructured clinical notes, achieving accuracy rates of 93% or higher. These capabilities empower healthcare organizations and life sciences teams to identify risk signals earlier, personalize interventions, and evaluate treatment effectiveness in real-world settings.
Why it matters
Early detection saves lives. Personalized care improves outcomes. Real-world data bridges gaps in care, enabling providers to identify high-risk patients sooner, tailor interventions to individual needs, and monitor treatment effectiveness over time. Combining RWD with advanced analytics and Artificial Intelligence (AI) allows healthcare to move toward a future where diabetes care is predictive, proactive, and personalized.
Access expert insights on precision diabetes care
Gain the insights you need to transform diabetes care. This whitepaper shows how real-world data can help you predict risk before symptoms appear, personalize treatment plans for better outcomes, and measure therapy effectiveness in everyday settings. Start driving proactive, precision care. Download your copy today.
*5 year Time Period: Q3 2020 – Q2 2025