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Integrated Radiology-Biochemistry Diagnostic Flow Framework for Emergency Clinical Decision Support: A
Betül Tiryaki Baştuğ1, Türkan Güney2
1Department of Radiology, Faculty of Medicine, Bilecik Şeyh Edebali University, Bilecik 11000, Turkey.
Tomography (Ann Arbor, Mich.)
|February 26, 2026
Summary
A new framework integrates clinical cues, lab tests, and imaging for emergency diagnosis. This simulation-based tool aids in rapid, interdisciplinary decision-making for critical care scenarios.
Area of Science:
- Medical Education
- Radiology
- Laboratory Medicine
- Emergency Medicine
Background:
- Emergency radiology requires integrating clinical, biochemical, and imaging data for rapid diagnosis.
- Existing educational resources lack structured interdisciplinary approaches between radiology and laboratory medicine.
Purpose of the Study:
- To develop an Integrated Radiology-Biochemistry Diagnostic Flow Framework.
- To create a simulation-based proof-of-concept demonstrating its structure and logic for emergency presentations.
Main Methods:
- An algorithmic framework was designed, combining clinical triggers, biochemical markers, imaging selection (US/CTA/MRI/NCCT), and radiologic patterns.
- Forty synthetic emergency scenarios were generated to test the framework's logical completeness and escalation pathways.
Main Results:
- The framework produced scenario-specific flowcharts linking biochemical data to imaging selection and findings.
- A synthetic scenario library demonstrated consistent logic and visualized decision pathways for simulation-based teaching.
Conclusions:
- A reproducible framework and synthetic scenario library were developed as a proof-of-concept.
- Further studies are needed to assess learner-based usability and educational effectiveness in training settings.
Keywords:
biochemistry integrationdecision supportdiagnostic flow frameworkemergency radiologymultimodal integrationradiology educationstructured reportingsynthetic casesMore Related Videos
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