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

Area of Science:

• Medical Informatics
• Biomedical Data Science
• Clinical Data Management

Background:

• Hospitals globally utilize advanced systems for high-resolution physiological patient data collection.
• Ensuring data accuracy, completeness, consistency, and contextual validity remains a significant challenge.
• Unidentified data artifacts can severely limit the utility of collected patient data.

Purpose of the Study:

• To report a previously unrecognized data artifact, waveform clipping, in a hospital's physiological data capture system.
• To emphasize the impact of such artifacts on data analysis and research timelines.
• To advocate for improved system setup, validation, and interdisciplinary collaboration in medical data management.

Main Methods:

• Systematic review of physiological data capture logs.
• Identification and characterization of the waveform clipping artifact.
• Analysis of the artifact's impact on data quality and research project timelines.

Main Results:

• Waveform clipping was identified as a persistent data artifact in the hospital's physiological data system.
• The artifact remained undetected for an extended period, compromising data integrity.
• Several research projects were delayed due to the limitations imposed by the inaccurate data.

Conclusions:

• Waveform clipping is a critical data artifact that can affect physiological data quality.
• Continuous data validation and meticulous system setup are essential for reliable medical data.
• Close collaboration between clinical staff and data scientists is crucial for effective medical informatics.