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Updated: Feb 11, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Separating Business Logic from Medical Knowledge in Digital Clinical Workflows Using Business Process Model and
Jeroen S de Bruin1, Klaus-Peter Adlassnig2, Harald Leitich3
1Institute eHealth, Department of Applied Computer Sciences, FH Joanneum University of Applied Sciences GmbH, Graz, Austria.
Background:
Evidence-based clinical guidelines have a major positive effect on the physician's decision-making process. Computer-executable clinical guidelines allow for automated guideline marshalling during a clinical diagnostic process, thus improving the decision-making process.
Objectives:
Implementation of a digital clinical guideline for the prevention of mother-to-child transmission of hepatitis B as a computerized workflow, thereby separating business logic from medical knowledge and decision-making.
Methods:
We used the Business Process Model and Notation language system Activiti for business logic and workflow modeling. Medical decision-making was performed by an Arden-Syntax-based medical rule engine, which is part of the ARDENSUITE software.
Results:
We succeeded in creating an electronic clinical workflow for the prevention of mother-to-child transmission of hepatitis B, where institution-specific medical decision-making processes could be adapted without modifying the workflow business logic.
Conclusion:
Separation of business logic and medical decision-making results in more easily reusable electronic clinical workflows.
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