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Article

An Interoperable UMLS Terminology Service Using FHIR

1
5150 School of Information Technology, Illinois State University, Normal, IL 61790, USA
2
Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia
*
Author to whom correspondence should be addressed.
Future Internet 2020, 12(11), 199; https://doi.org/10.3390/fi12110199
Received: 18 October 2020 / Revised: 11 November 2020 / Accepted: 12 November 2020 / Published: 16 November 2020
(This article belongs to the Special Issue Recent Advances of Machine Learning Techniques on Smartphones)
The Unified Medical Language System (UMLS) is an internationally recognized medical vocabulary that enables semantic interoperability across various biomedical terminologies. To use its knowledge, the users must understand its complex knowledge structure, a structure that is not interoperable or is not compliant with any known biomedical and healthcare standard. Further, the users also need to have good technical skills to understand its inner working and interact with UMLS in general. These barriers might cause UMLS usage concerns among inter-disciplinary users in biomedical and healthcare informatics. Currently, there exists no terminology service that normalizes UMLS’s complex knowledge structure to a widely accepted interoperable healthcare standard and allows easy access to its knowledge, thus hiding its workings. The objective of this research is to design and implement a light-weight terminology service that allows easy access to UMLS knowledge structured using the fast health interoperability resources (FHIR) standard, a widely accepted interoperability healthcare standard. The developed terminology service, named UMLS FHIR, leverages FHIR resources and features, and can easily be integrated into any application to consume UMLS knowledge in the FHIR format without the need to understand UMLS’s native knowledge structure and its internal working. View Full-Text
Keywords: Unified Medical Language System; FHIR; interoperability; biomedical terminology service; UMLS REST; semantic interoperability Unified Medical Language System; FHIR; interoperability; biomedical terminology service; UMLS REST; semantic interoperability
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MDPI and ACS Style

Saripalle, R.; Sookhak, M.; Haghparast, M. An Interoperable UMLS Terminology Service Using FHIR. Future Internet 2020, 12, 199. https://doi.org/10.3390/fi12110199

AMA Style

Saripalle R, Sookhak M, Haghparast M. An Interoperable UMLS Terminology Service Using FHIR. Future Internet. 2020; 12(11):199. https://doi.org/10.3390/fi12110199

Chicago/Turabian Style

Saripalle, Rishi, Mehdi Sookhak, and Mahboobeh Haghparast. 2020. "An Interoperable UMLS Terminology Service Using FHIR" Future Internet 12, no. 11: 199. https://doi.org/10.3390/fi12110199

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