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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Informatics tools for quality in anatomic pathology
Jeffrey W Prichard1, Gregory Strevig, Adam M Brown
1Department of Pathology and Laboratory Medicine, Geisinger Medical Center, Danville, PA 17822, USA.
Clinics in Laboratory Medicine
|April 26, 2008
Summary
This study introduces three informatics tools to enhance quality in anatomic pathology. These systems improve tracking, digital quality control, and data reporting for better laboratory performance.
Area of Science:
- Anatomic Pathology
- Laboratory Informatics
- Quality Management Systems
Background:
- Anatomic pathology laboratories face challenges in maintaining high-quality diagnostic processes.
- Effective quality programs are essential for reliable patient care and laboratory efficiency.
- Informatics tools can significantly improve workflow and data integrity in pathology.
Purpose of the Study:
- To review three informatics tools designed to enhance quality within an anatomic pathology laboratory.
- To demonstrate the application of these tools across different phases of laboratory testing.
- To highlight the role of technology in modernizing pathology quality assurance.
Main Methods:
- Development and implementation of a comprehensive testing process tracking monitor.
- Utilization of digital imaging for immunohistochemistry quality control during the analytic phase.
- Deployment of a results-reporting monitor to manage postanalytic data flow.
Main Results:
- The tracking monitor provides end-to-end visibility of the testing lifecycle (pre-analytic, analytic, postanalytic).
- Digital imaging enhances the accuracy and consistency of immunohistochemistry quality control.
- The results-reporting monitor streamlines the transfer of postanalytic data to patient repositories.
Conclusions:
- Informatics tools are crucial for improving quality management in anatomic pathology.
- These specific tools offer tangible benefits in process monitoring, quality control, and data management.
- Adoption of such technologies supports robust and efficient laboratory operations.

