Zhaohui Su, VP of Biostatistics at Ontada, shared a post on LinkedIn about a paper by Jessica Liu et al. published in PLOS One:
“Real-time Electronic Health Record (EHR) data present significant potential for research, but understanding when this data is suitable for analysis is important. Jessica Liu and colleagues developed an automated benchmarking pipeline designed to assess the stability and completeness of real-time EHR snapshots. This system effectively detects clinical actions, demographic updates, and the stabilization of discharge information.
The findings indicate that automated benchmarking can determine when real-time EHR data are ready for analysis, which is essential for ensuring trustworthy secondary use of this information.
Additionally, this work sheds light on the major challenges associated with using continuously evolving clinical data and introduces an automated framework that health systems can implement to enhance the quality of research, surveillance, and clinical trial preparedness.”
Title: Assessment of the integrity of real-time electronic health record data used in clinical research
Authors: Jessica Liu, Sameer Pandya, Andreas Coppi, H. Patrick Young, Harlan M. Krumholz, Wade L. Schulz, Guannan Gong
You can read the Full Article in PLOS One.
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