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Integrated pathology reporting, indexing, and retrieval system using natural language diagnoses.

G W Moore1, J K Boitnott, R E Miller

  • 1Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|January 1, 1988
PubMed
Summary

Natural language diagnoses in pathology computer systems enhance data precision. This facilitates improved follow-up, retrieval, and system development for pathology reports.

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Area of Science:

  • Medical Informatics
  • Pathology

Background:

  • Pathology computer systems increasingly utilize natural language for diagnoses.
  • The Johns Hopkins Medical Institutions developed an integrated pathology reporting system.

Purpose of the Study:

  • To evaluate the utility of natural language diagnoses in pathology computer systems.
  • To assess the impact of a specific integrated pathology reporting system on information management.

Main Methods:

  • Implementation of an integrated pathology reporting system covering autopsy and surgical pathology.
  • Utilizing natural language, word processors, and spell checkers for diagnoses.
  • Incorporating a security system with electronic signatures and role-based access.
  • Linking to clinical laboratory reports and a medical library database.

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Main Results:

  • The system manages all information functions within pathology divisions.
  • Electronic signatures ensure report authentication.
  • The system generates financial, overdue case, and Boolean search reports.
  • Experience with 128,790 pathology reports was analyzed.

Conclusions:

  • Natural language diagnoses offer greater precision compared to other methods.
  • This precision makes natural language diagnoses ideal for follow-up and data retrieval.
  • The findings support the use of natural language for pathology systems development.