Literature DB >> 24758733

A cost-effective interdisciplinary approach to microbiologic send-out test use.

Scott W Aesif1, David M Parenti, Linda Lesky, John F Keiser.   

Abstract

CONTEXT: Use of reference laboratories for selected laboratory testing (send-out tests) represents a significant source of laboratory costs. As the use of more complex molecular analyses becomes common in the United States, strategies to reduce costs in the clinical laboratory must evolve in order to provide high-value, cost-effective medicine.
OBJECTIVE: To report a strategy that employs clinical pathology house staff and key hospital clinicians in the effective use of microbiologic send-out testing.
DESIGN: The George Washington University Hospital is a 370-bed academic hospital in Washington, DC. In 2012 all requisitions for microbiologic send-out tests were screened by the clinical pathology house staff prior to final dispensation. Tests with questionable utility were brought to the attention of ordering clinicians through the use of interdisciplinary rounds and direct face-to-face consultation.
RESULTS: Screening resulted in a cancellation rate of 38% of send-out tests, with proportional cost savings. Nucleic acid tests represented most of the tests screened and the largest percentage of cost saved through screening. Following consultation, requested send-out tests were most often canceled because of a lack of clinical indication.
CONCLUSIONS: Direct face-to-face consultation with ordering physicians is an effective, interdisciplinary approach to managing the use of send-out testing in the microbiology laboratory.

Mesh:

Year:  2014        PMID: 24758733     DOI: 10.5858/arpa.2013-0693-OA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  4 in total

Review 1.  Reducing Test Utilization in Hospital Settings: A Narrative Review.

Authors:  Renuka S Bindraban; Maarten J Ten Berg; Christiana A Naaktgeboren; Mark H H Kramer; Wouter W Van Solinge; Prabath W B Nanayakkara
Journal:  Ann Lab Med       Date:  2018-09       Impact factor: 3.464

2.  Deep into Laboratory: An Artificial Intelligence Approach to Recommend Laboratory Tests.

Authors:  Md Mohaimenul Islam; Tahmina Nasrin Poly; Hsuan-Chia Yang; Yu-Chuan Jack Li
Journal:  Diagnostics (Basel)       Date:  2021-05-29

Review 3.  Effectiveness of Practices to Support Appropriate Laboratory Test Utilization: A Laboratory Medicine Best Practices Systematic Review and Meta-Analysis.

Authors:  Matthew Rubinstein; Robert Hirsch; Kakali Bandyopadhyay; Bereneice Madison; Thomas Taylor; Anne Ranne; Millie Linville; Keri Donaldson; Felicitas Lacbawan; Nancy Cornish
Journal:  Am J Clin Pathol       Date:  2018-02-17       Impact factor: 2.493

4.  Development of an Artificial Intelligence-Based Automated Recommendation System for Clinical Laboratory Tests: Retrospective Analysis of the National Health Insurance Database.

Authors:  Md Mohaimenul Islam; Hsuan-Chia Yang; Tahmina Nasrin Poly; Yu-Chuan Jack Li
Journal:  JMIR Med Inform       Date:  2020-11-18
  4 in total

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