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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
[Research and design of the clinical path system based on data mining]
Qiong Tang1, Zhimin Li, Chuan Fu
1Information Technology College, Zhejiang Traditional Chinese Medical University. tangqiong@zjtcm.net
This study introduces a data mining approach to develop hospital-specific clinical pathways, reducing development time and costs. This method integrates seamlessly with existing hospital systems for efficient clinical pathway information management.
Area of Science:
- Health Informatics
- Data Mining Applications
- Clinical Pathway Development
Context:
- Current challenges in clinical pathway development.
- Need for adaptable and efficient clinical pathway solutions.
- Integration with existing hospital information systems.
Purpose:
- To propose a novel solution for clinical pathway information development using data mining.
- To reduce the development cycle and cost of clinical pathways.
- To ensure seamless integration with existing hospital systems.
Summary:
- A data mining engine is utilized to extract and adapt clinical pathways from large hospital datasets.
- This approach customizes pathways to specific hospital conditions.
- The system integrates with existing hospital infrastructure.
Impact:
- Accelerates the development and implementation of clinical pathways.
- Reduces costs associated with clinical pathway creation.
- Offers a new paradigm for clinical pathway information management and development.
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