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Pathology accessioning and retrieval system with encoding by computer (PARSEC). A microcomputer-based system for
American Journal of Clinical Pathology
|June 1, 1980
Summary
A new computer system, PARSEC, streamlines anatomic pathology workflows. It manages surgical specimens, patient data, and generates reports with automatic SNOP coding, improving efficiency.
Area of Science:
- Medical Informatics
- Pathology Informatics
Background:
- Pathology departments manage large volumes of data, requiring efficient systems for accessioning, retrieval, and reporting.
- Manual data management is time-consuming and prone to errors, impacting workflow efficiency.
Purpose of the Study:
- To develop and describe a cost-effective computer system for anatomic pathology.
- To enhance administrative and diagnostic functions within a histopathology setting.
Main Methods:
- Development of a microcomputer-based system named PARSEC (Pathology Accessioning and Retrieval System with Encoding by Computer).
- Implementation of features for surgical specimen accessioning, patient data management, and text editing for descriptions and diagnoses.
- Integration of an online Systematized Nomenclature of Pathology (SNOP) lexicon for automatic code assignment.
- Utilizing a database management system for optimized storage and rapid data retrieval.
Main Results:
- PARSEC successfully performs administrative functions including accessioning, data retrieval, and archiving.
- The system facilitates the entry of gross and microscopic descriptions and diagnoses.
- Automatic SNOP coding enables the generation of complete surgical pathology reports.
- The database management system ensures efficient disk space utilization and fast data retrieval.
Conclusions:
- PARSEC offers a comprehensive solution for anatomic pathology data management.
- The system improves efficiency in reporting and data handling through automation and optimized retrieval.
- PARSEC represents a valuable tool for modern pathology departments seeking to enhance operational capabilities.