| Literature DB >> 23732401 |
Frederick L Kiechle1, Rodney C Arcenas, Linda C Rogers.
Abstract
Benchmarks and metrics related to laboratory test utilization are based on evidence-based medical literature that may suffer from a positive publication bias. Guidelines are only as good as the data reviewed to create them. Disruptive technologies require time for appropriate use to be established before utilization review will be meaningful. Metrics include monitoring the use of obsolete tests and the inappropriate use of lab tests. Test utilization by clients in a hospital outreach program can be used to monitor the impact of new clients on lab workload. A multi-disciplinary laboratory utilization committee is the most effective tool for modifying bad habits, and reviewing and approving new tests for the lab formulary or by sending them out to a reference lab.Entities:
Keywords: Disruptive technology; Inappropriate test; Metrics; Obsolete tests; Outreach; Test utilization
Mesh:
Year: 2013 PMID: 23732401 PMCID: PMC7124233 DOI: 10.1016/j.cca.2013.05.024
Source DB: PubMed Journal: Clin Chim Acta ISSN: 0009-8981 Impact factor: 3.786
Fig. 1This bar graph shows the respiratory virus prevalence in our healthcare institution for all patients tested from June 2012 through March 2013. This is valuable information for clinicians to know what is circulating amongst the patient population. There are implications for those viruses, especially Influenza A and B, which have treatment options available. It would be important for clinicians to know when to most likely treat based on symptoms relative to the time of year. FluA (Influenza A). FluB (Influenza B). RSV (Respiratory Syncytial Virus). PIV (Parainfluenza virus subtypes 1, 2, 3, or 4). ADNV (Adenovirus subtypes B, C, or E). HMPV (Human Metapneumovirus). RHNV (Rhinovirus). CoV (Coronavirus subtypes 229E, HKU1, NL63, or OC43).
Fig. 2The use of molecular methods for respiratory virus testing has allowed us to detect patients with more than 1 virus present. The presence of multiple viruses within a patient sample is currently underappreciated and the effect on the overall disease presentation is currently unknown.
Distribution of 269 patient samples with > 1 virus present.
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