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

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

doi:10.3233/978-1-61499-951-5-479

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 proceeding › Chapter

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.

Original language	English (US)
Title of host publication	Improving Usability, Safety and Patient Outcomes with Health Information Technology
Subtitle of host publication	From Research to Practice
Editors	Alex Mu-Hsing Kuo, Andre Kushniruk, Francis Lau, Elizabeth M. Borycki, Gerry Bliss, Helen Monkman, Abdul Vahabpour Roudsari, John A. Bartle-Clar, Karen L. Courtney
Publisher	IOS Press
Pages	479-483
Number of pages	5
ISBN (Electronic)	9781614999508
DOIs	https://doi.org/10.3233/978-1-61499-951-5-479
State	Published - 2019
Externally published	Yes

Publication series

Name	Studies in Health Technology and Informatics
Volume	257
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Keywords

Electronic health records
data profiling
entity resolution
information quality

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/978-1-61499-951-5-479

Cite this

Wang, P., Pullen, D., Garza, M., Walden, A., & Zozus, M. (2019). Data profiling in support of entity resolution of multi-institutional EHR data. In A. M-H. Kuo, A. Kushniruk, F. Lau, E. M. Borycki, G. Bliss, H. Monkman, A. V. Roudsari, J. A. Bartle-Clar, & K. L. Courtney (Eds.), Improving Usability, Safety and Patient Outcomes with Health Information Technology: From Research to Practice (pp. 479-483). (Studies in Health Technology and Informatics; Vol. 257). IOS Press. https://doi.org/10.3233/978-1-61499-951-5-479

Data profiling in support of entity resolution of multi-institutional EHR data. / Wang, Pei; Pullen, Daniel; Garza, Maryam et al.
Improving Usability, Safety and Patient Outcomes with Health Information Technology: From Research to Practice. ed. / Alex Mu-Hsing Kuo; Andre Kushniruk; Francis Lau; Elizabeth M. Borycki; Gerry Bliss; Helen Monkman; Abdul Vahabpour Roudsari; John A. Bartle-Clar; Karen L. Courtney. IOS Press, 2019. p. 479-483 (Studies in Health Technology and Informatics; Vol. 257).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Wang, P, Pullen, D, Garza, M, Walden, A & Zozus, M 2019, Data profiling in support of entity resolution of multi-institutional EHR data. in AM-H Kuo, A Kushniruk, F Lau, EM Borycki, G Bliss, H Monkman, AV Roudsari, JA Bartle-Clar & KL Courtney (eds), Improving Usability, Safety and Patient Outcomes with Health Information Technology: From Research to Practice. Studies in Health Technology and Informatics, vol. 257, IOS Press, pp. 479-483. https://doi.org/10.3233/978-1-61499-951-5-479

Wang P, Pullen D, Garza M, Walden A, Zozus M. Data profiling in support of entity resolution of multi-institutional EHR data. In Kuo AM-H, Kushniruk A, Lau F, Borycki EM, Bliss G, Monkman H, Roudsari AV, Bartle-Clar JA, Courtney KL, editors, Improving Usability, Safety and Patient Outcomes with Health Information Technology: From Research to Practice. IOS Press. 2019. p. 479-483. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-951-5-479

Wang, Pei ; Pullen, Daniel ; Garza, Maryam et al. / Data profiling in support of entity resolution of multi-institutional EHR data. Improving Usability, Safety and Patient Outcomes with Health Information Technology: From Research to Practice. editor / Alex Mu-Hsing Kuo ; Andre Kushniruk ; Francis Lau ; Elizabeth M. Borycki ; Gerry Bliss ; Helen Monkman ; Abdul Vahabpour Roudsari ; John A. Bartle-Clar ; Karen L. Courtney. IOS Press, 2019. pp. 479-483 (Studies in Health Technology and Informatics).

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

Abstract

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Keywords

ASJC Scopus subject areas

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