Utilizing visualization to qualitatively evaluate electronic health record-derived database limitations.

Volume: 37, Issue: 27_suppl, Pages: 317 - 317
Published: Sep 20, 2019
Abstract
317 Background: Electronic health record (EHR) databases are a promising platform for clinical research using real-world data. However, information on potential limitations of these data sources is lacking. We sought to understand how data visualization might be used to identify data inconsistencies and the applicability of previously validated claims-based algorithms used to identify patients with metastatic breast cancer (MBC). Methods: This...
Paper Details
Title
Utilizing visualization to qualitatively evaluate electronic health record-derived database limitations.
Published Date
Sep 20, 2019
Volume
37
Issue
27_suppl
Pages
317 - 317
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.