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Related Experiment Videos

Computers in total quality management. Statistical process control to expedite stats

J L Rollo1, B A Fauser

  • 1Department of Laboratory Medicine and Pathology, Christian Hospital, St Louis, MO 63119.

Archives of Pathology & Laboratory Medicine
|September 1, 1993
PubMed
Summary

A new computer system tracks laboratory test turnaround times automatically, enabling data-driven improvements. This system helped identify effective strategies to reduce stat test processing times.

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Area of Science:

  • Laboratory Medicine
  • Clinical Pathology
  • Health Informatics

Background:

  • Timely turnaround of stat laboratory tests is critical for patient care.
  • Manual tracking of turnaround times can be labor-intensive and prone to errors.
  • Implementing statistical process control requires reliable and accessible data.

Purpose of the Study:

  • To develop and implement a computer system for automated data collection and display of stat test turnaround times.
  • To enable real-time monitoring and statistical process control of laboratory testing.
  • To evaluate the impact of operational changes on stat test turnaround times.

Main Methods:

  • Developed a computer program to automatically gather stat test data from the laboratory information system.

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  • Calculated median and 90th percentile turnaround times for high-volume tests (complete blood count, Chem6).
  • Generated automated graphical displays for daily and longitudinal data analysis.

    • Main Results:

    • The system provided immediate data without additional manual entry.
    • Automated graphics facilitated the evaluation of laboratory stat processing.
    • Measurements demonstrated the impact of management decisions on turnaround times.
    • Identified specific changes in procedures and personnel that improved stat turnaround time.

    Conclusions:

    • Automated data collection and visualization are effective for monitoring and improving laboratory stat test turnaround times.
    • Statistical process control using real-time data allows for objective evaluation of operational changes.
    • The developed system empowers laboratories to make informed decisions to enhance efficiency and reduce delays.