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Related Experiment Videos

Searching Full-Text Anatomic Pathology Reports Using Business Intelligence Software.

Simone Arvisais-Anhalt1, Christoph U Lehmann2, Justin A Bishop3

  • 1Department of Hospital Medicine and Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA.

Journal of Pathology Informatics
|March 7, 2022
PubMed
Summary

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This summary is machine-generated.

A new tool enables full-text searching of anatomic pathology reports, improving data access for clinical and research purposes. This web-based solution enhances retrospective analysis of pathology data, benefiting healthcare institutions.

Area of Science:

  • Medical Informatics
  • Pathology Informatics
  • Health Data Management

Background:

  • Laboratory Information Systems (LIS) facilitate storage and dissemination of anatomic pathology reports.
  • Retrospective querying of anatomic pathology reports remains a challenge for LIS vendors.
  • Institutions require robust methods for accessing pathology data for diverse applications.

Purpose of the Study:

  • To develop a user-friendly, full-text search tool for a large repository of anatomic pathology reports.
  • To enable efficient querying for clinical, operational, research, and educational needs.
  • To create a vendor-agnostic solution adaptable by other healthcare institutions.

Main Methods:

  • Development of a full-text search tool utilizing Tableau business intelligence software.

Related Experiment Videos

  • Implementation of regular expression functionality for comprehensive data querying.
  • Creation of a secure, web-based interface accessible via standard web browsers.
  • Integration with an institutional clinical relational database containing 333,685 anatomic pathology reports.

    • Main Results:

    • Successful development and deployment of a web-based anatomic pathology report search tool.
    • Demonstrated ability to query a large volume of reports using advanced text-matching capabilities.
    • Elimination of the need for specialized software installation on user workstations.
    • Ensured vendor-agnostic compatibility, facilitating broad institutional adoption.

    Conclusions:

    • The developed search tool effectively addresses limitations in retrospective querying of anatomic pathology reports.
    • The Tableau-based solution offers a reproducible and cost-effective method for enhancing data accessibility.
    • This approach can significantly benefit various departments within healthcare institutions by improving data utilization.