Literature DB >> 24084504

A clinician's perspective on laboratory utilization management.

D Dante Yeh1.   

Abstract

BACKGROUND: Excessive laboratory utilization is a common problem in the hospital setting. Physicians control up to 80% of healthcare costs and wield great influence.
METHODS: This review article describes reasons for overutilization of labs and recommends interventional strategies to change clinician ordering behavior.
RESULTS: Powerful factors exist that encourage overutilization, including fear of missing a diagnosis, provider inexperience, peer pressure, financial rewards, practice inertia, and fear of legal punishment. Features of automated order entry, such as bundling and "daily until discontinued" options contribute to wasteful ordering behavior.
CONCLUSION: The most successful and long-lasting interventions are multi-faceted and have included a combination of education, feedback and audit, and administrative changes. The support of senior physicians and top administration is critical to the success of any initiative and ideally, interventions should be original from a multi-disciplinary committee of respected individuals.
© 2013.

Keywords:  Clinician perspective; Laboratory test utilization; Utilization interventions; Utilization management

Mesh:

Year:  2013        PMID: 24084504     DOI: 10.1016/j.cca.2013.09.023

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  11 in total

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Authors:  Patrick D Carroll; M Bridget Zimmerman; Demet Nalbant; Earl L Gingerich; Guohua An; Gretchen A Cress; Peter Veng-Pedersen; John A Widness
Journal:  Neonatology       Date:  2020-06-19       Impact factor: 4.035

2.  Promoting improved utilization of laboratory testing through changes in an electronic medical record: experience at an academic medical center.

Authors:  Matthew D Krasowski; Deborah Chudzik; Anna Dolezal; Bryan Steussy; Michael P Gailey; Benjamin Koch; Sara B Kilborn; Benjamin W Darbro; Carolyn D Rysgaard; Julia A Klesney-Tait
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3.  Predicting Low Information Laboratory Diagnostic Tests.

Authors:  Shivaal K Roy; Jason Hom; Lester Mackey; Neil Shah; Jonathan H Chen
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2018-05-18

Review 4.  Blood Transfusion Therapy.

Authors:  Lawrence Tim Goodnough; Anil K Panigrahi
Journal:  Med Clin North Am       Date:  2016-12-24       Impact factor: 5.456

5.  Laboratory Test Utilization Practices in Hamad Medical Corporation; Role of Laboratory Supervisors and Clinicians in Improper Test Utilization; a Descriptive Pilot Study.

Authors:  Hafsa Mohammed Alshekhabobakr; Salim O AlSaqatri; Nasser Moustafa Rizk
Journal:  J Multidiscip Healthc       Date:  2022-03-03

6.  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

7.  Effect of high-potency statins on HbA1c in patients with or without diabetes mellitus.

Authors:  Nobuhiro Ooba; Shoutarou Tanaka; Yu Yasukawa; Nariyasu Yoshino; Hiroyuki Hayashi; Shinji Hidaka; Toshiichi Seki; Noriyasu Fukuoka
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Review 8.  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

9.  Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.

Authors:  Song Xu; Jason Hom; Santhosh Balasubramanian; Lee F Schroeder; Nader Najafi; Shivaal Roy; Jonathan H Chen
Journal:  JAMA Netw Open       Date:  2019-09-04

10.  Overuse of diagnostic testing in healthcare: a systematic review.

Authors:  Joris L J M Müskens; Rudolf Bertijn Kool; Simone A van Dulmen; Gert P Westert
Journal:  BMJ Qual Saf       Date:  2021-05-10       Impact factor: 7.035

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