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Related Experiment Videos

Using patient outcomes to screen for clinical laboratory errors.

J W Winkelman1, S T Mennemeyer

  • 1Brigham and Women's Hospital, Boston, MA, USA.

Clinical Laboratory Management Review : Official Publication of the Clinical Laboratory Management Association
|February 7, 1996
PubMed
Summary
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Downstream event monitoring (DEM) uses patient outcomes to identify potential laboratory testing errors. This quality improvement method tracks adverse events after tests to ensure accurate, clinically meaningful results for patient care.

Area of Science:

  • Laboratory Medicine
  • Quality Management
  • Patient Safety

Background:

  • Assessing laboratory testing quality is challenging for managers and accrediting bodies.
  • Traditional methods like inspections and proficiency testing do not fully guarantee accurate and clinically meaningful patient results.
  • There is a need for novel approaches to evaluate laboratory performance comprehensively.

Purpose of the Study:

  • To introduce and discuss Downstream Event Monitoring (DEM) as a novel method for assessing laboratory testing quality.
  • To explore the potential of using patient outcomes to screen for laboratories with potential systematic or random errors.
  • To evaluate the feasibility of DEM using specific laboratory tests and patient data.

Main Methods:

  • Downstream Event Monitoring (DEM) involves analyzing patient outcomes within a critical time window post-testing.

Related Experiment Videos

  • The core principle is to identify if a laboratory's inaccurate results lead to adverse clinical events.
  • Case studies involving prothrombin time and serum digoxin tests for Medicare patients were examined.

    • Main Results:

    • The study proposes DEM as a proactive quality assurance tool by linking laboratory performance to patient outcomes.
    • Initial examinations suggest DEM can identify laboratories with unusually high rates of adverse events.
    • The approach requires robust clinical logic and comprehensive data for effective laboratory comparison.

    Conclusions:

    • Downstream Event Monitoring (DEM) offers a promising strategy for enhancing laboratory quality assessment.
    • Further validation studies are essential to refine DEM methodology and confirm its reliability.
    • Integrating patient outcome data into quality control can improve the accuracy and clinical utility of laboratory diagnostics.