Retrospective evaluation of clinical decision support for within-laboratory optimization of SARS-CoV-2 NAAT workflow.
COVID-19
SARS-CoV-2
ask at order entry questions
business intelligence
clinical decision support
computerized provider order entry
informatics
turnaround time
Journal
Journal of clinical microbiology
ISSN: 1098-660X
Titre abrégé: J Clin Microbiol
Pays: United States
ID NLM: 7505564
Informations de publication
Date de publication:
22 Dec 2023
22 Dec 2023
Historique:
medline:
22
12
2023
pubmed:
22
12
2023
entrez:
22
12
2023
Statut:
aheadofprint
Résumé
We describe a novel approach to clinical decision support (CDS) for triaging specimens within the clinical laboratory for severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) nucleic acid amplification tests (NAAT). The use of our CDS tool could help clinical laboratories prioritize and process specimens efficiently, especially during times of high demand. There were significant differences in the turnaround time for specimens differentiated by icons on specimen labels. Further studies are needed to evaluate the impact of our CDS tool on overall laboratory efficiency and patient outcomes.
Identifiants
pubmed: 38132702
doi: 10.1128/jcm.00785-23
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM