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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
How can information extraction ease formalizing treatment processes in clinical practice guidelines? A method and its
Katharina Kaiser1, Cem Akkaya, Silvia Miksch
1Vienna University of Technology, Institute of Software Technology & Interactive Systems, Favoritenstrasse 9-11/188, A-1040 Vienna, Austria. kaiser@ifs.tuwien.ac.at
Artificial Intelligence in Medicine
|September 12, 2006
Summary
Formalizing clinical practice guidelines (CPGs) is complex. A new heuristic-based information extraction approach automates parts of the process, improving efficiency and understandability for guideline formalization.
Area of Science:
- Medical Informatics
- Clinical Informatics
- Health Informatics
Background:
- Formalizing clinical practice guidelines (CPGs) for computer processing is challenging, time-consuming, and requires specialized knowledge.
- Existing methods often lack readability and demand manual modeling, hindering efficient guideline formalization.
Purpose of the Study:
- To develop and evaluate a novel multi-step approach for automating and improving the traceability of CPG formalization.
- To support human modelers by simplifying the process of converting guidelines into computer-processable formats.
Main Methods:
- Implemented a framework using heuristic-based information extraction methods.
- Applied the framework to otolaryngology guidelines, focusing on process representation independent of final language.
- Evaluated methods without requiring natural language understanding.
Main Results:
- Semi-automatic, step-wise information extraction proved valuable for formalizing CPGs.
- Heuristic-based approach achieved good results, particularly with semi-structured text.
- The method is adaptable to various guideline representation formats.
Conclusions:
- A heuristic-based information extraction approach offers an effective solution for CPG formalization.
- This method enhances efficiency and understandability, especially for semi-structured guidelines.
- The approach is versatile and can be applied regardless of the final guideline representation language.
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