Data profiling in support of entity resolution of multi-institutional EHR data

Pei Wang, Daniel Pullen, Maryam Garza, Anita Walden, Meredith Zozus

Research output: Chapter in Book/Report/Conference proceedingChapter


Information Quality (IQ) is a core tenant of contemporary data management practices. Across many disciplines and industries, it has become a necessary process to improve value and reduce liability in data driven processes. Information quality is a multifaceted discipline with many degrees of complexity in implementation, especially in healthcare. Data profiling is one of the simpler tasks that an organization can perform to understand and monitor the intrinsic quality of its data. This case study demonstrates the application of core concepts of data profiling to entity resolution of multi-institutional Electronic Health Record (EHR) data. We discuss the benefits of using data profiling to better understand quality issues and their impact on entity resolution and how data profiling might be augmented to increase utility to clinical data.

Original languageEnglish (US)
Title of host publicationImproving Usability, Safety and Patient Outcomes with Health Information Technology
Subtitle of host publicationFrom Research to Practice
EditorsAlex Mu-Hsing Kuo, Andre Kushniruk, Francis Lau, Elizabeth M. Borycki, Gerry Bliss, Helen Monkman, Abdul Vahabpour Roudsari, John A. Bartle-Clar, Karen L. Courtney
PublisherIOS Press
Number of pages5
ISBN (Electronic)9781614999508
StatePublished - 2019
Externally publishedYes

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


  • Electronic health records
  • data profiling
  • entity resolution
  • information quality

ASJC Scopus subject areas

  • Health Information Management
  • Health Informatics
  • Biomedical Engineering


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