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https://doi.org/10.1109/ichi.2...
Article . 2014 . Peer-reviewed
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Appropriateness of Repeated Execution of Laboratory Examinations: A CDSS Approach

Authors: GALLERANI, Massimo; PELIZZOLA, Dario; PIVANTI, Marcello; BONI, Michela; LAMMA, Evelina; BELLODI, Elena;

Appropriateness of Repeated Execution of Laboratory Examinations: A CDSS Approach

Abstract

Repetitive laboratory testing has become a well-recognized problem in the practice of medicine, especially in the hospital inpatient setting, since it increases costs and causes patient discomfort. Among the interventions proposed to reduce unnecessary testing, Clinical Decision Support Systems (CDSS) have been shown to be effective. We present the project of a CDSS recommending professionals in real time regarding the appropriateness for repeating laboratory exams, embedded in a Computerized Physician Order Entry at the Azienda Ospedaliero-Universitaria and Azienda Unita Sanitaria Locale of Ferrara, Italy. Test-specific time intervals within which test repetition is redundant are encoded in formal rules, which are applied against the laboratory results done in the past for the patient. The rules-set implemented concerns: clinical chemistry, hematology, coagulation, infectious diseases serology, microbiology, inflammation, cardiac and tumor markers, hormones, autoimmunity, allergology, molecular biology and drug monitoring testing.

Country
Italy
Keywords

Clinical decision support system, computerized physician order entry, appropriateness criteria, repeat testing, cost reduction

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
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