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Laboratory Test Utilization Management: General Principles and Applications in Hematopathology.

Kaaren K Reichard1, Adam J Wood1

  • 1Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.

Surgical Pathology Clinics
|March 5, 2016
PubMed
Summary

Healthcare costs are rising, necessitating efficient test utilization strategies. This article introduces cost-effective approaches and evidence-based algorithms to optimize diagnostic testing for improved patient care and safety.

Keywords:
AlgorithmsClinical valueGuidelinesInfrastructureInterventionMultidisciplinaryStrategyTest utilization

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Area of Science:

  • Health Economics
  • Clinical Pathology
  • Healthcare Management

Background:

  • Rising healthcare expenditures and decreasing reimbursement rates create financial pressures.
  • There is a critical need to reduce overall costs while enhancing service quality.
  • Patient needs and safety must remain the highest priority in healthcare delivery.

Purpose of the Study:

  • To introduce the concept of test utilization in healthcare.
  • To outline a general strategy for developing efficient and cost-effective test utilization.
  • To present and discuss evidence-based algorithms for optimizing test selection.

Main Methods:

  • Review of current healthcare economic trends impacting diagnostic services.
  • Development of a framework for a comprehensive test utilization strategy.
  • Presentation and discussion of two novel, evidence-based test utilization algorithms.

Main Results:

  • A strategic approach to test utilization can lead to significant cost savings.
  • Evidence-based algorithms can guide clinicians in selecting appropriate tests.
  • Optimized test utilization enhances the efficiency and effectiveness of diagnostic services.

Conclusions:

  • Implementing efficient test utilization strategies is crucial for financial sustainability in healthcare.
  • The proposed algorithms offer practical tools for improving diagnostic test selection.
  • Optimizing test utilization contributes to better patient outcomes and safer healthcare.