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

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

Producción científica: Chapter


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.

Idioma originalEnglish (US)
Título de la publicación alojadaImproving Usability, Safety and Patient Outcomes with Health Information Technology
Subtítulo de la publicación alojadaFrom Research to Practice
EditoresAlex Mu-Hsing Kuo, Andre Kushniruk, Francis Lau, Elizabeth M. Borycki, Gerry Bliss, Helen Monkman, Abdul Vahabpour Roudsari, John A. Bartle-Clar, Karen L. Courtney
EditorialIOS Press
Número de páginas5
ISBN (versión digital)9781614999508
EstadoPublished - 2019
Publicado de forma externa

Serie de la publicación

NombreStudies in Health Technology and Informatics
ISSN (versión impresa)0926-9630
ISSN (versión digital)1879-8365

ASJC Scopus subject areas

  • Health Information Management
  • Health Informatics
  • Biomedical Engineering


Profundice en los temas de investigación de 'Data profiling in support of entity resolution of multi-institutional EHR data'. En conjunto forman una huella única.

Citar esto