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Storage and retrieval of SNOP-coded pathologic diagnoses using offsite computing and optical character recognizing

R L Cechner1, J R Carter

  • 1Department of Pathology and Biomedical Engineering, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, Ohio 44106, USA.

American Journal of Clinical Pathology
|May 1, 1976
PubMed
Summary
This summary is machine-generated.

A new computerized pathology system efficiently retrieves autopsy and surgical cases using optical character recognition (OCR) and offsite services. This cost-effective solution simplifies diagnosis coding and data management for pathology departments.

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Area of Science:

  • Medical Informatics
  • Pathology Informatics

Background:

  • Implementing efficient data retrieval systems is crucial for managing large volumes of pathology case information.
  • Traditional methods for cross-referencing pathology cases can be labor-intensive and prone to errors.

Purpose of the Study:

  • To describe a novel computerized cross-reference system for pathology cases.
  • To highlight the system's cost-effectiveness and flexibility through offsite processing and OCR technology.

Main Methods:

  • A computerized system was developed for retrieving autopsy and surgical pathology cases by case number or diagnosis.
  • Optical Character Recognition (OCR) font was utilized for coding diagnoses, allowing for direct input with a pencil.
  • Offsite computer service bureaus were employed for cost-efficient job production.

Main Results:

  • The system enables efficient retrieval of pathology cases based on various criteria.
  • Utilizing OCR and offsite services significantly reduced operational costs (approx. 1.1 cents per diagnosis).
  • The system generates year-to-date reports, alphabetized by SNOP (Systematized Nomenclature of Pathology) and compatible with SNOMED (Systematized Nomenclature of Medicine).

Conclusions:

  • The implemented computerized system offers an economical and flexible solution for pathology case retrieval and management.
  • The integration of OCR technology simplifies data entry and enhances system usability.
  • The system's design facilitates data manipulation and retrieval through magnetic tape storage and user programming.