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Measuring and assuring quality performance in cytology: A toolkit
Author(s) -
Heher Yael K.,
Chen Yigu,
VanderLaan Paul A.
Publication year - 2017
Publication title -
cancer cytopathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.29
H-Index - 57
eISSN - 1934-6638
pISSN - 1934-662X
DOI - 10.1002/cncy.21831
Subject(s) - quality assurance , medicine , quality management , quality (philosophy) , metric (unit) , outlier , risk analysis (engineering) , operations management , medical physics , computer science , pathology , management system , artificial intelligence , engineering , philosophy , epistemology , external quality assessment
The cytology community has long been at the leading edge of quality assurance and quality control in anatomic pathology. However, with the increasing burden of clinical care, daily operations, and regulatory compliance, quality management risks becoming just another box to check on a long list of onerous tasks. To begin to address these issues, this article will focus primarily on “proactive” quality improvement, covering quality metric selection and monitoring, and outlines how to determine when to act on data outliers.