A semantic framework for data quality assurance in medical research

Lingkai Zhu, Helen Chen, Kevin Quach

Research output: Contribution to journalConference articlepeer-review

Abstract

The large amount of patient data amassed in the Electronic Patient Record systems are of great value for medical research. Aggregating research-grade data from these systems is a laborious, often manual process. We present a semantic framework that incorporates a data semantic model and validation rules to accelerate the cleansing process for data in Electronic Patient Record systems. We demonstrate the advantages of this semantic approach in assuring data quality over traditional data analysis methods.

Original languageEnglish (US)
Pages (from-to)54-55
Number of pages2
JournalCEUR Workshop Proceedings
Volume1054
StatePublished - Jan 1 2013
Event4th Canadian Semantic Web Symposium, CSWS 2013 - Part of the Semantic Trilogy 2013 - Montreal, Canada
Duration: Jul 10 2013 → …

Keywords

  • Data quality assurance
  • Data quality measurement
  • Ontology modelling
  • Semantic framework
  • Semantic web standards

ASJC Scopus subject areas

  • Computer Science(all)

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