Lessons learned from the semantic translation of healthcare data

Robert Techentin, Jennifer St Sauver, Jeanne Huddleston, Barry Gilbert, David Holmes

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

Abstract

Healthcare data provides a wealth of information that can be used to study and improve patient outcomes. Electronic Medical Records and other sources of healthcare data are often managed in relational database system and archived using modern data warehousing techniques. Contemporary semantic database technology has many advantages over traditional database systems; however, the utility of the semantic data can be limited if the data is not converted properly from a tabular representation. There are a variety of tools which will naively convert tabular data into a Resource Description Format semantic graph. Without proper guidance from the operator, the tools will generate a semantically weak database which doesn't have the necessary richness for semantic analysis. This paper describes the conversion process for two healthcare databases, with the goal of creating a robust dataset for semantic analysis. The 'lessons learned' from this process are detailed in order to serve as a resource for other biomedical researchers and clinicians interested in generating a useful semantic dataset from their own relational databases.

Original languageEnglish (US)
Title of host publication2014 IEEE 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages513-518
Number of pages6
ISBN (Electronic)9781479966448
DOIs
StatePublished - Jan 1 2014
Event2014 16th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2014 - Natal, Brazil
Duration: Oct 15 2014Oct 18 2014

Publication series

Name2014 IEEE 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014

Other

Other2014 16th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2014
CountryBrazil
CityNatal
Period10/15/1410/18/14

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ASJC Scopus subject areas

  • Health Information Management
  • Computer Networks and Communications
  • Health Informatics

Cite this

Techentin, R., Sauver, J. S., Huddleston, J., Gilbert, B., & Holmes, D. (2014). Lessons learned from the semantic translation of healthcare data. In 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014 (pp. 513-518). [7001895] (2014 IEEE 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HealthCom.2014.7001895