Assessment of Sigma Error Metrics Associated with Manual Secondary Result Review and Subsequent Artificial Intelligence-Driven Quality Assurance Review—Application to Kidney Stone Analysis-Reference-Cited by-同舟云学术

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Assessment of Sigma Error Metrics Associated with Manual Secondary Result Review and Subsequent Artificial Intelligence-Driven Quality Assurance Review—Application to Kidney Stone Analysis

Published:2023-11-25 Issue: Volume: Page:
ISSN:0009-9147
Container-title:Clinical Chemistry
language:en
Short-container-title:

Author:

Bornhorst Joshua¹,Rokke Denise¹,Day Patrick¹^ORCID,Erdahl Sarah¹,Wieczorek Mikolaj A²,Carter Rickey E³^ORCID,Jannetto Paul J¹

Affiliation:

1. Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN , United States

2. Digital Innovation Laboratory, Mayo Clinic, Florida , Jacksonville, FL , United States

3. Department of Qualitative Health Sciences, Mayo Clinic, Florida , Jacksonville, FL , United States

Publisher

Oxford University Press (OUP)

Subject

Biochemistry (medical),Clinical Biochemistry

Link

https://academic.oup.com/clinchem/advance-article-pdf/doi/10.1093/clinchem/hvad195/53811127/hvad195.pdf

Reference5 articles.

1. Artificial intelligence for kidney stone spectra analysis: using artificial intelligence algorithms for quality assurance in the clinical laboratory;Day;Mayo Clin Proc Digit Health,2023

2. Analytical sigma metrics: a review of six sigma implementation tools for medical laboratories;Westgard;Biochem Med (Zagreb),2018

3. Measuring the rate of manual transcription error in outpatient point-of-care testing;Mays;J Am Med Inform Assoc,2019

4. Double checking: a second look;Hewitt;J Eval Clin Pract,2016

5. Deep learning for the precise peak detection in high-resolution LC-MS data;Melnikov;Anal Chem,2020

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