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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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Taking Action from RWE Analytics: Use of Health Insights Dataset Reveal Underdiagnosis and Care Gaps in NASH and NAFLD

Nonalcoholic fatty liver disease (NAFLD), including the more aggressive NASH (nonalcoholic steatohepatitis), has become a major public health concern, affecting about one in four Americans (Younossie 2018). Its increasing prevalence parallels rising rates of obesity and type 2 diabetes. 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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Tackling Rare Diseases with an Arsenal of Real-World Data

Technological innovations have fostered the age of big data in healthcare – and the huge populations amassed afford the ability to mine for key subpopulations — getting down to ever more precise groups of likely responders to therapy, high-risk patients and other high-value subphenotypes. Continue Reading