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Real-World Data Can Bring Value to Life Sciences Companies Operating in a Value-Based World

The healthcare industry — from providers and health systems to payers — is increasingly adopting value-based care practices, which is not surprising given that approximately 61% of all healthcare payments are tied to value and quality in some way. In… Continue Reading

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Using Real-World Data for Patients with Multiple Sclerosis: A New Machine Learning Model for the Expanded Disability Status Scale (EDSS)

  Multiple sclerosis (MS) is a chronic illness in which the body’s immune system attacks myelin, the substance that surrounds and protects the nerve fibers of the central nervous system. The result is a disabling disease that causes damage to… Continue Reading

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Delivering Real World Data-Driven Insights: An Executive Interview with Wendy Shusko and Jason Drenning

Delivering Real World Data-Driven Insights:An Executive Interview with Wendy Shusko and Jason Drenning Wendy Shusko, President and CEO and Jason Drenning, PhD, Chief Commercial Officer of STATinMED Research sat down with HealthEconomics.Com to discuss the data landscape, industry trends and… Continue Reading

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Using AI, NLP and Data Visualization with RWE to Generate Insights into Care Gaps: Retrospective Cohort Analysis of Fracture Risk in Patients with Osteopenia and Osteoporosis

This blog reports practical uses of RWD sourced from the largest, cloud-based electronic health record (EHR) platform in the United States, offered by Veradigm® as part of its Health Insights database. Continue Reading

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Predictive Modeling and Machine Learning: Sharpening the Focus of Real-World Evidence in the Age of Precision Medicine

The challenge of real-world evidence in the age of precision medicine Real-world evidence is being used increasingly to provide important information about natural history of a disease, drug utilization and treatment patterns, comorbidities, safety and effectiveness of medications, along with… Continue Reading