Garbage In, Garbage Out? Negative Impact of Physiological Waveform Artifacts in a Hospital Clinical Data Warehouse

被引:0
|
作者
Frederick H. Kuo [1 ]
Mohamed A. Rehman [2 ]
Luis M. Ahumada [1 ]
机构
[1] Johns Hopkins All Children’s Hospital,Department of Anesthesia and Pain Medicine
[2] Johns Hopkins University School of Medicine,Department of Anesthesiology and Critical Care Medicine
[3] Johns Hopkins All Children’s Hospital,Center for Pediatric Data Science and Analytics Methodology
关键词
Artifacts; Big data; Medical informatics; Information systems;
D O I
10.1007/s10916-024-02128-1
中图分类号
学科分类号
摘要
Hospitals around the world are deploying increasingly advanced systems to collect and store high-resolution physiological patient data for quality improvement and research. However, data accuracy, completeness, consistency, and contextual validity remain issues. This report highlights a data artifact known as waveform clipping in our hospital’s physiological data capture system that went unnoticed for years, limiting data analysis and delaying several research projects. We aim to raise awareness in the medical informatics community about the importance of careful system setup, ongoing data validation, and close cooperation between clinicians and data scientists.
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