Related Experiment Video
Updated: Jun 13, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
The development and testing of a laboratory information system-driven tool for pre-sign-out quality assurance of
Scott R Owens1, Rajiv Dhir, Samuel A Yousem
1Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Abstract:
We describe the development and testing of a novel pre-sign-out quality assurance tool for case diagnoses that allows for the random review of a percentage of cases by a second pathologist before case verification and release of the final report. The tool incorporates the ability to record and report levels of diagnostic disagreement, reviewers' comments, and steps taken to resolve any discrepancies identified. It is expandable to allow for the review of any percentage of cases in any number of subspecialty or general pathology "benches" and provides a prospective instrument for preventing some serious errors from occurring, thereby potentially affecting patient care in addition to identifying and documenting more general process issues. It can also be used to augment other more conventional methods of quality control such as frozen section/final diagnosis correlation, conference review, and case review before interdisciplinary clinicopathologic sessions. There has been no significant delay in case turnaround time since implementation. Further assessment of the tool's function after full departmental application is underway.
Related Concept Videos
Automated Microbial Diagnostics
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality Assurance
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Introduction to Statistical Process Control