A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis

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dc.authoridDursun Delen / 0000-0001-8857-5148en_US
dc.authorscopusidDursun Delen / 55887961100en_US
dc.authorwosidDursun Delen / AGA-9892-2022
dc.contributor.authorMiao, Zhuqi
dc.contributor.authorSealey, Meghan D.
dc.contributor.authorSathyanarayanan, Shrieraam
dc.contributor.authorDelen, Dursun
dc.contributor.authorZhu, Lan
dc.contributor.authorShepherd, Scott
dc.date.accessioned2022-11-07T07:42:48Z
dc.date.available2022-11-07T07:42:48Z
dc.date.issued2023en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractEven 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.en_US
dc.identifier.citationMiao, 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.2022.102130en_US
dc.identifier.doi10.1016/j.is.2022.102130en_US
dc.identifier.scopus2-s2.0-85139288803en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1016/j.is.2022.102130
dc.identifier.urihttps://hdl.handle.net/20.500.12713/3247
dc.identifier.volume111en_US
dc.identifier.wosWOS:001029311000001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorDelen, Dursun
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofInformation Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData Cleaningen_US
dc.subjectData Qualityen_US
dc.subjectElectronic Health Records (EHR)en_US
dc.subjectHealthcareen_US
dc.subjectSecondary Analysisen_US
dc.titleA data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysisen_US
dc.typeArticleen_US

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