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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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Development of a Knowledge-based Application Utilizing Ontologies for the Continuing Site-specific JJ1017 Master

Tatsuaki Kobayashi1, Shintaro Tsuji, Ayako Yagahara

  • 1School of Allied Health Sciences, Kitasato University.

Nihon Hoshasen Gijutsu Gakkai Zasshi
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Summary

A new JJ1017 Knowledge-based Application (JKA) was developed to maintain radiologic procedure masters. This application, featuring the JJ1017 Ontology (JJOnt), supports medical information systems in Japanese healthcare facilities.

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Area of Science:

  • Medical Informatics
  • Radiology
  • Knowledge Engineering

Background:

  • Medical information systems are increasingly adopted in Japanese healthcare facilities.
  • Standardized radiologic procedure masters are crucial for data consistency and interoperability.
  • The JJ1017 guideline defines a standard for these radiologic procedure masters.

Purpose of the Study:

  • To develop the JJ1017 Knowledge-based Application (JKA).
  • To support the ongoing maintenance of site-specific JJ1017 masters.
  • To enhance the usability of medical information systems for medical technologists.

Main Methods:

  • Construction of the JJ1017 Ontology (JJOnt) using the Hozo environment.
  • Development of essential modules (operation, I/O, graph) for master maintenance.
  • Unit testing of the integrated JKA system.

Main Results:

  • The JJ1017 Ontology (JJOnt) comprises 21,697 classes.
  • External beam radiotherapy codes represent the largest category (51%) within radiologic procedures.
  • Unit testing confirmed the functionality of key operations like keyword search and class editing.

Conclusions:

  • The JJOnt serves as a robust knowledge base for medical information systems.
  • The JKA is designed to facilitate the maintenance and enhancement of JJ1017 masters.
  • The application aims to improve semantic accuracy in information exchange for medical technologists.