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Development of a Rule-Based Knowledge Base for Digitalization of Standard Operating Procedures on Radiotherapy in

Fabio Dennstädt1,2, Johannes Zink3, Nikola Cihoric4

  • 1Department of Radiation Oncology, HOCH, Cantonal Hospital St.Gallen, St. Gallen, Switzerland, fabio.dennstaedt@insel.ch.

Oncology
|December 11, 2025
PubMed
Summary
This summary is machine-generated.

A new digital knowledge base for breast cancer radiotherapy standard operating procedures (SOPs) shows promise but needs better user experience. The system successfully answered over half of clinical queries, highlighting the need for UI improvements.

Keywords:
Breast cancerKnowledge baseOncologyRadiation therapyStandard operating procedures

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Area of Science:

  • Oncology
  • Medical Informatics
  • Radiotherapy

Background:

  • Traditional text-based standard operating procedures (SOPs) lack automated reasoning and real-time clinical decision support.
  • Digitalization of SOPs is crucial for advancing data-rich healthcare environments.

Purpose of the Study:

  • To develop a rule-based knowledge base for breast cancer radiotherapy SOPs.
  • To overcome limitations of traditional SOPs through digitalization and enhanced reasoning capabilities.

Main Methods:

  • Developed a web application with a relational database using Common Data Elements (CDEs).
  • Integrated a rule-based inference engine and a responsive user interface (UI).
  • Evaluated information retrieval success over 14 months with nine radiation oncologists submitting clinical queries.

Main Results:

  • The knowledge base contains 103 entries across 8 topics, focusing on critical clinicopathological features.
  • Radiation oncologists submitted 62 queries, with 56.5% successfully answered.
  • Unsuccessful queries were often due to user-experience issues rather than missing information.

Conclusions:

  • The rule-based knowledge base demonstrates feasibility for interactive, evidence-linked SOPs.
  • Significant user experience barriers require improvement for practical application.
  • Future work will focus on UI enhancements, knowledge updating, and AI integration.