tetano
Editor, Senior Moderator
J Clin Microbiol
. 2023 Dec 22:e0078523.
doi: 10.1128/jcm.00785-23. Online ahead of print. Retrospective evaluation of clinical decision support for within-laboratory optimization of SARS-CoV-2 NAAT workflow
Thomas J S Durant[SUP] 1 2 [/SUP], David R Peaper[SUP] 1 [/SUP]
Affiliations
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.
Keywords: COVID-19; SARS-CoV-2; ask at order entry questions; business intelligence; clinical decision support; computerized provider order entry; informatics; turnaround time.
. 2023 Dec 22:e0078523.
doi: 10.1128/jcm.00785-23. Online ahead of print. Retrospective evaluation of clinical decision support for within-laboratory optimization of SARS-CoV-2 NAAT workflow
Thomas J S Durant[SUP] 1 2 [/SUP], David R Peaper[SUP] 1 [/SUP]
Affiliations
- PMID: 38132702
- DOI: 10.1128/jcm.00785-23
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.
Keywords: COVID-19; SARS-CoV-2; ask at order entry questions; business intelligence; clinical decision support; computerized provider order entry; informatics; turnaround time.