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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Our health language and data collections.
Evelyn J S Hovenga1, Heather Grain
1eHealth Education Pty Ltd, Australia.
Health language, a complex vocabulary, needs computable formats for digital data sharing. This chapter explains health language, terminologies, ontologies, and their role in data governance for better health information exchange.
Area of Science:
- Health Informatics
- Medical Communication
- Digital Health
Background:
- Healthcare communication relies on extensive and complex health language.
- Digital transformation necessitates computable health language for data, information, and knowledge sharing.
Purpose of the Study:
- To describe the nature of health language.
- To explain terminologies and ontologies in healthcare.
- To outline the relationship between health language and data governance.
Main Methods:
- Literature review on health language, terminologies, and ontologies.
- Analysis of the role of these components in data standards and collections.
- Discussion on the importance of data governance.
Main Results:
- Health language is foundational to healthcare communication.
- Terminologies and ontologies provide structured formats for health data.
- Effective data governance is crucial for managing health language resources.
Conclusions:
- Converting health language into computable formats is essential for digital health environments.
- Understanding terminologies, ontologies, and data governance ensures efficient health information exchange.
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