A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis
Yükleniyor...
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Even though data preparation constitutes a large proportion of the total effort involved in electronic health record (EHR) based secondary analysis, guidelines for EHR data preparation are still insufficient to date. This study proposes a data preparation framework that can guide and validate the cleaning of EHRs for secondary analysis. The developed framework consists of three core themes—workflow, assessment and cleaning methods, and cleaning evaluation scheme. To illustrate the viability of the proposed framework, we applied it to a hip-fracture readmission scenario using the underlying data extracted from a large EHR database. The case study demonstrated the effectiveness of the proposed framework in organizing and standardizing phases and processes within an EHR data preparation workflow. Furthermore, the cleaning evaluation scheme was found to be effective in validating EHR cleaning methods, especially for those used to handle complex issues that usually appear in patient demographics, longitudinal attributes of EHRs, and the application of filtering and imputation cleaning methods.
Açıklama
Anahtar Kelimeler
Data Cleaning, Data Quality, Electronic Health Records (EHR), Healthcare, Secondary Analysis
Kaynak
Information Systems
WoS Q Değeri
Q2
Scopus Q Değeri
N/A
Cilt
111
Sayı
Künye
Miao, Z., Sealey, M. D., Sathyanarayanan, S., Delen, D., Zhu, L., & Shepherd, S. (2023). A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis. Information Systems, 111 doi:10.1016/j.is.2022.102130
