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Diagnostic sample transport via pneumatic tube systems: data logger and their algorithms are sensitive to transport effects.

Jana NinnemannStephanie ZyllaThomas StreichertBenjamin OttoMattis HaenelMatthias NauckAstrid Petersmann
Published in: Clinical chemistry and laboratory medicine (2023)
The statistical, but not clinical, differences in the results for hemolysis sensitive measurands may be regarded as an early sign of preanalytical impairment. Both data loggers record this important interval of beginning mechanical stress with a high resolution indicating their potential to facilitate early detection of preanalytical impairment. Further studies should identify suitable recording frequencies. Currently, evaluation and monitoring of diagnostic sample transport should not only rely on data loggers but also include diagnostic samples.
Keyphrases
  • electronic health record
  • high resolution
  • big data
  • machine learning
  • mass spectrometry
  • data analysis
  • risk assessment
  • deep learning
  • red blood cell