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

Addressing a Prominent Health Burden Using Real World Evidence: Management of Heart Failure with Preserved Ejection Fraction

Heart Failure: Common, Debilitating and Growing Public Health Issue Heart failure (HF) is a complex, debilitating syndrome affecting an estimated 63 million people worldwide (GBD 2016). Its impact on patients and health systems continues to increase in tandem with rising… Continue Reading

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

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

Optimizing Real-World Evidence in Medical Device Development

The use of real-world data to generate RWE for medical devices by industry has become more prominent in recent years, and more attractive to a variety of stakeholders. It is used frequently to understand the use of the device in the larger clinical setting, but more recently it is also being used for regulatory decision making. Continue Reading