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A surgical pathology reporting and encoding system using industry-standard hardware and software.

S B Taubman1

  • 1Department of Pathology, Vassar Brothers Hospital, Poughkeepsie, NY.

Archives of Pathology & Laboratory Medicine
|December 1, 1988
PubMed
Summary
This summary is machine-generated.

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This study presents an affordable computer system for surgical pathology report word processing and diagnosis coding using Systematized Nomenclature of Medicine (SNOMED). The system efficiently manages patient data and coded diagnoses with standard hardware and software.

Area of Science:

  • Computer Science
  • Medical Informatics
  • Pathology

Background:

  • Surgical pathology reports require efficient word processing and diagnosis encoding.
  • Managing large patient databases with coded diagnoses is crucial for research and clinical care.
  • Existing systems may be costly or require significant customization.

Purpose of the Study:

  • To describe an efficient, inexpensive, and industry-standard computer system for surgical pathology.
  • To facilitate word processing, diagnosis encoding (SNOMED), and data storage.
  • To utilize readily available hardware and software with minimal customization.

Main Methods:

  • Implementation of a computer system using standard retail hardware and software.
  • Integration of WordPerfect for word processing.

Related Experiment Videos

  • Utilization of the College of American Pathologists/Systematized Nomenclature of Medicine (CAP/SNOMED) system for encoding and data retrieval.

    • Main Results:

    • The system efficiently processes surgical pathology reports.
    • It enables effective encoding of diagnoses using SNOMED.
    • A large database of patient information with coded diagnoses can be maintained.
    • The system operates with off-the-shelf components, reducing costs and complexity.

    Conclusions:

    • An efficient and cost-effective computer system for surgical pathology is achievable using standard technology.
    • The described system simplifies report generation, diagnosis coding, and data management.
    • This approach offers a practical solution for pathology departments seeking to enhance their information systems.