S
Stephen S. Raab
Researcher at University of Colorado Denver
Publications - 112
Citations - 3179
Stephen S. Raab is an academic researcher from University of Colorado Denver. The author has contributed to research in topics: Cervical cancer & Patient safety. The author has an hindex of 30, co-authored 112 publications receiving 3025 citations. Previous affiliations of Stephen S. Raab include Drexel University & Allegheny General Hospital.
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Journal ArticleDOI
A Prospective Assessment Defining the Limitations of Thyroid Nodule Pathologic Evaluation
Edmund S. Cibas,Zubair W. Baloch,Giovanni Fellegara,Virginia A. LiVolsi,Stephen S. Raab,Juan Rosai,James C. Diggans,Lyssa Friedman,Giulia C. Kennedy,Richard T. Kloos,Richard B. Lanman,Susan J. Mandel,Nicole Sindy,David L. Steward,Martha A. Zeiger,Bryan R. Haugen,Erik K. Alexander +16 more
TL;DR: Substantial inter- and intraobserver variability exists in the cytopathologic and histopathologic evaluation of thyroid nodules, confirming an inherent limitation of visual microscopic diagnosis.
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Identification Errors Involving Clinical Laboratories: A College of American Pathologists Q-Probes Study of Patient and Specimen Identification Errors at 120 Institutions
TL;DR: It is suggested that more than 160,000 adverse events per year result from misidentification of patients' laboratory specimens, and institutions that did a better job of detecting errors within the laboratory released a smaller proportion of results that involved specimen misIdentification.
Journal ArticleDOI
Clinical impact and frequency of anatomic pathology errors in cancer diagnoses.
Stephen S. Raab,Dana M. Grzybicki,Janine E. Janosky,D.M.D. Richard J. Zarbo M.D.,Frederick A. Meier,Chris Jensen,Stanley J. Geyer +6 more
TL;DR: To the authors' knowledge, the frequency and clinical impact of errors in the anatomic pathology diagnosis of cancer have been poorly characterized to date.
Journal ArticleDOI
Error detection in anatomic pathology.
TL;DR: A standardized error classification is proposed that would permit measurement of error frequencies, clinical impact of errors, and the effect of error reduction and prevention efforts, as well as identify quality assurance procedures able to reduce the frequency of errors.
Journal ArticleDOI
Errors in Thyroid Gland Fine-Needle Aspiration
Stephen S. Raab,Colleen M. Vrbin,Dana M. Grzybicki,Daniel Sudilovsky,Ronald Balassanian,Richard J. Zarbo,Frederick A. Meier +6 more
TL;DR: This first step of an Agency for Healthcare Research and Quality patient safety project measured the performance metrics of thyroid gland fine-needle aspiration, performed root cause analysis to determine the causes of error, and proposed error-reduction initiatives to address specific errors.