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Reducing Overuse of 3-Day Repeat Type and Screen Testing across an 11-Hospital Safety Net System.

Dawi Shin1, Hyung J Cho2, Surafel Tsega3,4

  • 1Icahn School of Medicine, New York, NY, USA.

Journal of General Internal Medicine
|July 10, 2023
PubMed
Summary

Duplicate Type and Screen (T&S) testing was significantly reduced in a large health system using electronic health record interventions. These low-effort strategies decreased inappropriate T&S orders, saving costs and improving patient safety.

Keywords:
medical wasteoverusepatient safetyquality improvementtype and screen

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Area of Science:

  • Healthcare Management
  • Clinical Laboratory Science
  • Health Informatics

Background:

  • Type and Screen (T&S) validity is limited to three days per AABB guidelines.
  • Repeat T&S testing within three days is generally unwarranted and considered medical waste.
  • Inappropriate T&S testing poses financial burdens and potential patient harm.

Purpose of the Study:

  • To decrease inappropriate duplicate Type and Screen (T&S) testing across multiple hospitals.
  • To implement and evaluate electronic health record (EHR) based interventions.

Main Methods:

  • A multi-hospital setting comprising 11 acute care facilities within a large urban safety net health system.
  • Interventions included enhancing order entry with elapsed time since last T&S and implementing a best practice advisory for duplicate orders.
  • The primary outcome measured was the rate of duplicate inpatient T&S per 1000 patient days.

Main Results:

  • The first intervention reduced duplicate T&S rates by 12.5% (p < 0.001).
  • The second intervention further decreased rates by 48.7% (p < 0.001) from baseline.
  • Statistical analysis confirmed significant reductions in both level and slope differences post-interventions.

Conclusions:

  • A two-pronged EHR intervention effectively reduced duplicate T&S testing.
  • This low-effort strategy offers a scalable framework for other clinical settings.
  • The findings highlight the potential of health informatics to optimize laboratory utilization and patient care.