| Literature DB >> 30741243 |
Pei Wang1, Daniel Pullen2, Maryam Garza1, Anita Walden1, Meredith Zozus1.
Abstract
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.Entities:
Keywords: Electronic health records; data profiling; entity resolution; information quality
Mesh:
Year: 2019 PMID: 30741243 PMCID: PMC6692113
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630