Evidence Synthesis for Sparse Evidence Base, Heterogeneous Studies, and Disconnected Networks
Standard models in evidence synthesis work well in settings characterized by a large evidence base, the absence of effect modifiers, and connected networks. Handling sparse data, substantial between-study heterogeneity and disconnected studies, however, poses challenges to researchers and requires advanced methodology.
FDA Guidance Documents: Shaping the Future of RWD Curation and RWE Innovation
IQVIA’s Mui Van Zandt, BMIS and Raina Olexa, MS lead a conversation on embracing FDA’s guidance on the use of RWD, and how your organization can navigate data quality, curation, and management challenges for better research.
Data Integrity in Decentralized Clinical Trials (DCTs)
Experts expand on the need for a comprehensive understanding of all sources of data in DCTs, and the need to evaluate those data centrally in real time to mitigate the risks associated with their capture (including data capture at the edge of the network (wearables)).
Cracking the Code: When and How to Validate ICD Algorithms for RWE
Experts from SickKids, Genentech, Penn Medicine, and PHAR deliver a high level overview on validation of code algorithms for Real World Evidence (RWE)
Can Literature Review Automation Improve Healthcare Cost-Effectiveness Analysis and Budget Impact Modeling Outcomes?
Michael Broder, President, PHAR and Jesse Ortendhal, Director of Health Economics, PHAR present on literature review automation in clinic.