Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China

Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China

Abstract Background With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR) information sharing. The openEHR approach can improve semantic interoperability. One ke...

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Bibliographic Details
Main Authors: Bo Sun, Fei Zhang, Jing Li, Yicheng Yang, Xiaolin Diao, Wei Zhao, Ting Shu
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Medical Informatics and Decision Making
Subjects:
OpenEHR
Nature language processing
Information retrieval
Interoperability
Online Access:https://doi.org/10.1186/s12911-021-01554-2

Internet

https://doi.org/10.1186/s12911-021-01554-2

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