Reconciliation of SNOMED CT and domain clinical model for interoperable medical knowledge creation

Taqdir Ali; Sungyoung Lee

doi:10.1109/EMBC.2017.8037403

Reconciliation of SNOMED CT and domain clinical model for interoperable medical knowledge creation

Taqdir Ali
, Sungyoung Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Use of heterogeneous data models in hospital information systems (HIS), obstructs the integration of clinical decision support system (CDSS) with clinical workflows. The diverse concepts diminish the interoperability level among the CDSS knowledge bases and data models of HIS. Standard terminology utilization in knowledge acquisition and its reconciliation with HIS data models are the candidate solution to overcome the interoperability barrier. We propose a reconciliation model to map concepts of diverse domain clinical models (DCM) with the standard terminology. In the proposed model, the implicit and explicit semantics are complemented to the word set of the targeted DCM concepts. The inclusion of semantics, mapped the DCM concepts to the SNOMED CT concepts with high accuracy. The results showed that the system correctly mapped 95% of concepts of DCM with standard terminology SNOMED CT concepts.

Original language	English
Title of host publication	2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	Smarter Technology for a Healthier World, EMBC 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2654-2657
Number of pages	4
ISBN (Electronic)	9781509028092
DOIs	https://doi.org/10.1109/EMBC.2017.8037403
Publication status	Published - 13 Sept 2017
Event	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of Duration: 11 Jul 2017 → 15 Jul 2017

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
Country/Territory	Korea, Republic of
City	Jeju Island
Period	11/07/17 → 15/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

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10.1109/EMBC.2017.8037403

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Ali, T., & Lee, S. (2017). Reconciliation of SNOMED CT and domain clinical model for interoperable medical knowledge creation. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 2654-2657). Article 8037403 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8037403

Ali, Taqdir ; Lee, Sungyoung. / Reconciliation of SNOMED CT and domain clinical model for interoperable medical knowledge creation. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2654-2657 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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abstract = "Use of heterogeneous data models in hospital information systems (HIS), obstructs the integration of clinical decision support system (CDSS) with clinical workflows. The diverse concepts diminish the interoperability level among the CDSS knowledge bases and data models of HIS. Standard terminology utilization in knowledge acquisition and its reconciliation with HIS data models are the candidate solution to overcome the interoperability barrier. We propose a reconciliation model to map concepts of diverse domain clinical models (DCM) with the standard terminology. In the proposed model, the implicit and explicit semantics are complemented to the word set of the targeted DCM concepts. The inclusion of semantics, mapped the DCM concepts to the SNOMED CT concepts with high accuracy. The results showed that the system correctly mapped 95\% of concepts of DCM with standard terminology SNOMED CT concepts.",

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Ali, T & Lee, S 2017, Reconciliation of SNOMED CT and domain clinical model for interoperable medical knowledge creation. in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8037403, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., pp. 2654-2657, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, Korea, Republic of, 11/07/17. https://doi.org/10.1109/EMBC.2017.8037403

Reconciliation of SNOMED CT and domain clinical model for interoperable medical knowledge creation. / Ali, Taqdir; Lee, Sungyoung.
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2654-2657 8037403 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Use of heterogeneous data models in hospital information systems (HIS), obstructs the integration of clinical decision support system (CDSS) with clinical workflows. The diverse concepts diminish the interoperability level among the CDSS knowledge bases and data models of HIS. Standard terminology utilization in knowledge acquisition and its reconciliation with HIS data models are the candidate solution to overcome the interoperability barrier. We propose a reconciliation model to map concepts of diverse domain clinical models (DCM) with the standard terminology. In the proposed model, the implicit and explicit semantics are complemented to the word set of the targeted DCM concepts. The inclusion of semantics, mapped the DCM concepts to the SNOMED CT concepts with high accuracy. The results showed that the system correctly mapped 95% of concepts of DCM with standard terminology SNOMED CT concepts.

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Ali T, Lee S. Reconciliation of SNOMED CT and domain clinical model for interoperable medical knowledge creation. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2654-2657. 8037403. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2017.8037403

Reconciliation of SNOMED CT and domain clinical model for interoperable medical knowledge creation

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