Filter By “Claims Data”

Case study: Profiling and Diagnosing Rare Disease Patients
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Case Study: Trial Tokenization and Linking to Real World Data: Extending the effectiveness and safety analysis of a new focal seizure treatment
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Patient access to chronic medications during the COVID-19 pandemic: Evidence from a comprehensive dataset of US insurance claims

Jeffrey Clement, Maura Jacobi, Brad N. Greenwood

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Insights from BHI: Intersection of Behavioral Health & Chronic Medical Conditions

In this webinar, you will learn: An overview of BHI and the type of data and analytic solutions offered,etc...

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Use of Administrative Claims to Assess Outcomes and Treatment Effect in Randomized Clinical Trials for Transcatheter Aortic Valve Replacement: Findings from the Extending Trial-Based Evaluations of Medical Therapies Using Novel Sources of Data (EXTEND) Study

Jordan B. Strom, Kamil F. Faridi, Neel M. Butala, Yuansong Zhao, Hector Tamez, Linda R. Valsdottir, J. Matthew Brennan, Changyu Shen, Jeffrey J. Popma, Dhruv S. Kazi, and Robert W. Yeh
The study attempted to see whether passively collected data could substitute for adjudicated outcomes to reproduce the magnitude and direction of treatment effect observed in cardiovascular clinical trials. By linking together a variety of data sets, including clinical trials and medicare inpatient claims, the researchers concluded that the clinical trial and the claims data produced magnitudinally and directionally consistent results for the primary endpoints, though less so for the secondary endpoints.

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