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

Producción científica: Chapter

Resumen

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 original	English (US)
Título de la publicación alojada	Improving Usability, Safety and Patient Outcomes with Health Information Technology
Subtítulo de la publicación alojada	From Research to Practice
Editores	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
Editorial	IOS Press
Páginas	479-483
Número de páginas	5
ISBN (versión digital)	9781614999508
DOI	https://doi.org/10.3233/978-1-61499-951-5-479
Estado	Published - 2019
Publicado de forma externa	Sí

Serie de la publicación

Nombre	Studies in Health Technology and Informatics
Volumen	257
ISSN (versión impresa)	0926-9630
ISSN (versión digital)	1879-8365

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

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

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Wang, P., Pullen, D., Garza, M., Walden, A., & Zozus, M. (2019). Data profiling in support of entity resolution of multi-institutional EHR data. En 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).

Producción científica: Chapter

Wang, P, Pullen, D, Garza, M, Walden, A & Zozus, M 2019, Data profiling in support of entity resolution of multi-institutional EHR data. En 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. En Kuo AMH, Kushniruk A, Lau F, Borycki EM, Bliss G, Monkman H, Roudsari AV, Bartle-Clar JA, Courtney KL, editores, 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

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