Subspecialty surgical pathologist′s performances as triage pathologists on a telepathology-enabled quality assurance surgical pathology service: A human factors study

Abstract

Background: The case triage practice workflow model was used to manage incoming cases on a telepathology-enabled surgical pathology quality assurance (QA) service. Maximizing efficiency of workflow and the use of pathologist time requires detailed information on factors that influence telepathologists′ decision-making on a surgical pathology QA service, which was gathered and analyzed in this study. Materials and Methods: Surgical pathology report reviews and telepathology service logs were audited, for 1862 consecutive telepathology QA cases accrued from a single Arizona rural hospital over a 51 month period. Ten university faculty telepathologists served as the case readers. Each telepathologist had an area of subspecialty surgical pathology expertise (i.e. gastrointestinal pathology, dermatopathology, etc.) but functioned largely as a general surgical pathologist while on this telepathology-enabled QA service. They handled all incoming cases during their individual 1-h telepathology sessions, regardless of the nature of the organ systems represented in the real-time incoming stream of outside surgical pathology cases. Results: The 10 participating telepathologists′ postAmerican Board of pathology examination experience ranged from 3 to 36 years. This is a surrogate for age. About 91% of incoming cases were immediately signed out regardless of the subspecialty surgical pathologists′ area of surgical pathology expertise. One hundred and seventy cases (9.13%) were deferred. Case concurrence rates with the provisional surgical pathology diagnosis of the referring pathologist, for incoming cases, averaged 94.3%, but ranged from 88.46% to 100% for individual telepathologists. Telepathology case deferral rates, for second opinions or immunohistochemistry, ranged from 4.79% to 21.26%. Differences in concordance rates and deferral rates among telepathologists, for incoming cases, were significant but did not correlate with years of experience as a practicing pathologist. Coincidental overlaps of the area of subspecialty surgical pathology expertise with organ-related incoming cases did not influence decisions by the telepathologists to either defer those cases or to agree or disagree with the referring pathologist′s provisional diagnoses. Conclusions: Subspecialty surgical pathologists effectively served as general surgical pathologists on a telepathology-based surgical pathology QA service. Concurrence rates with incoming surgical pathology report diagnoses, and case deferral rates, varied significantly among the 10 on-service telepathologists. We found no evidence that the higher deferral rates correlated with improving the accuracy or quality of the surgical pathology reports.

Keywords

• Diagnostic accuracy, digital pathology, quality assurance, surgical pathology, telepathology, robotic telepathology