On Mapping Textual Queries to a Common Data Model

Sijia Liu, Yanshan Wang, Na Hong, Feichen Shen, Stephen Wu, William Hersh, Hongfang D Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The widespread adoption of Electronic Health Records (EHRs) has enabled data-driven approaches to clinical care and research. However, the performance and generalizability of those approaches are severely hampered by the lack of syntactic and semantic interoperability of EHR data across institutions. Towards resolving this problem, Common Data Models (CDMs) can be used to standardize the clinical data in clinical data repositories. In this paper, we described our mapping of entity mention types from patient-level information retrieval queries to an empirical subset of Observational Medical Outcomes Partnership (OMOP) CDM data fields. We investigated the empirical data model by annotating multi-institutional clinical data requests in free text and comparing the distributions of data model fields. The similar distribution of the entity mention types from two different sites indicates that the data model is generalizable for multi-institutional cohort identification queries.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages21-25
Number of pages5
ISBN (Electronic)9781509048816
DOIs
StatePublished - Sep 8 2017
Event5th IEEE International Conference on Healthcare Informatics, ICHI 2017 - Park City, United States
Duration: Aug 23 2017Aug 26 2017

Other

Other5th IEEE International Conference on Healthcare Informatics, ICHI 2017
CountryUnited States
CityPark City
Period8/23/178/26/17

Fingerprint

Electronic Health Records
Information Storage and Retrieval
Semantics
Research

ASJC Scopus subject areas

  • Health Informatics

Cite this

Liu, S., Wang, Y., Hong, N., Shen, F., Wu, S., Hersh, W., & Liu, H. D. (2017). On Mapping Textual Queries to a Common Data Model. In Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017 (pp. 21-25). [8031127] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2017.63

On Mapping Textual Queries to a Common Data Model. / Liu, Sijia; Wang, Yanshan; Hong, Na; Shen, Feichen; Wu, Stephen; Hersh, William; Liu, Hongfang D.

Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 21-25 8031127.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liu, S, Wang, Y, Hong, N, Shen, F, Wu, S, Hersh, W & Liu, HD 2017, On Mapping Textual Queries to a Common Data Model. in Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017., 8031127, Institute of Electrical and Electronics Engineers Inc., pp. 21-25, 5th IEEE International Conference on Healthcare Informatics, ICHI 2017, Park City, United States, 8/23/17. https://doi.org/10.1109/ICHI.2017.63
Liu S, Wang Y, Hong N, Shen F, Wu S, Hersh W et al. On Mapping Textual Queries to a Common Data Model. In Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 21-25. 8031127 https://doi.org/10.1109/ICHI.2017.63
Liu, Sijia ; Wang, Yanshan ; Hong, Na ; Shen, Feichen ; Wu, Stephen ; Hersh, William ; Liu, Hongfang D. / On Mapping Textual Queries to a Common Data Model. Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 21-25
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