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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
International Patient Summary Terminology
Warren Del-Pinto1, Renate A Schmidt1, Yongsheng Gao2
1Department of Computer Science, University of Manchester, UK.
A new method extracts SNOMED CT subontologies to create the IPS terminology for cross-border patient care. This open-license resource promotes global health information interoperability.
Area of Science:
- Medical Informatics
- Health Information Management
Background:
- SNOMED CT is a global medical ontology supporting diverse healthcare needs.
- Not all SNOMED CT concepts are relevant for specific use cases, necessitating focused subsets.
- The need for specialized terminologies to enhance healthcare interoperability is growing.
Purpose of the Study:
- To introduce a novel subontology extraction method for creating tailored medical terminologies.
- To develop the IPS terminology, a standalone ontology derived from SNOMED CT.
- To facilitate cross-border patient care through improved health information exchange.
Main Methods:
- Application of a novel subontology extraction technique.
- Development of the IPS terminology as a distinct, feature-rich ontology.
- Release of the IPS terminology under an open license.
Main Results:
- Successful creation of the IPS terminology, a specialized subontology of SNOMED CT.
- The IPS terminology retains the core features of SNOMED CT for specific applications.
- The resource is freely available to promote worldwide health information interoperability.
Conclusions:
- The novel subontology extraction method effectively creates specialized terminologies.
- The IPS terminology offers a valuable resource for cross-border patient care.
- Open licensing of the IPS terminology supports global health data exchange and interoperability.
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