DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, J. | - |
dc.contributor.author | Kim, K. | - |
dc.contributor.author | Cho, M. | - |
dc.contributor.author | Baek, H. | - |
dc.contributor.author | Kim, S. | - |
dc.contributor.author | Hwang, H. | - |
dc.contributor.author | Yoo, S. | - |
dc.contributor.author | Song, M. | - |
dc.date.accessioned | 2021-09-25T13:50:13Z | - |
dc.date.available | 2021-09-25T13:50:13Z | - |
dc.date.created | 2021-07-21 | - |
dc.date.issued | 2021-02 | - |
dc.identifier.issn | 1865-1348 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/107157 | - |
dc.description.abstract | Clinical pathway (CP), a standardized treatment process based on a clinical guideline, is widely used to reduce costs while maintaining or improving patient care quality. However, there is a gap between the actual clinical process and the guideline, that causes CP application to be disturbed. A study on developing a data-driven automated clinical pathway to obtain insight into real clinical processes has been conducted. Still, patient characteristics and conditions, which could cause a variation, have not been fully considered. In this study, we aimed to develop a framework to derive a sophisticated clinical pathway from electronic health records (EHRs) data by exploring process variations according to the patient characteristics and conditions. To validate the applicability of the proposed framework, We conducted a case study using the Total Laparoscopic Hysterectomy (TLH) CP data, which was retrieved from an EHR system of a tertiary general hospital in South Korea between January 2012 and April 2016. We found that diabetic TLH patients show different medical performances with other TLH patients. We developed a tailored CP that adds eleven orders over the standard TLH CP, and experts evaluated it as meaningful. ? 2021, Springer Nature Switzerland AG. | - |
dc.language | English | - |
dc.publisher | Springer Verlag | - |
dc.relation.isPartOf | Lecture Notes in Business Information Processing | - |
dc.title | Deriving a Sophisticated Clinical Pathway Based on Patient Conditions from Electronic Health Record Data | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/978-3-030-72693-5_27 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | Lecture Notes in Business Information Processing, v.406 LNBIP, pp.356 - 367 | - |
dc.citation.endPage | 367 | - |
dc.citation.startPage | 356 | - |
dc.citation.title | Lecture Notes in Business Information Processing | - |
dc.citation.volume | 406 LNBIP | - |
dc.contributor.affiliatedAuthor | Lim, J. | - |
dc.contributor.affiliatedAuthor | Song, M. | - |
dc.identifier.scopusid | 2-s2.0-85107383212 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordPlus | Data mining | - |
dc.subject.keywordPlus | eHealth | - |
dc.subject.keywordPlus | Records management | - |
dc.subject.keywordPlus | Clinical guideline | - |
dc.subject.keywordPlus | Clinical pathways | - |
dc.subject.keywordPlus | Electronic health record | - |
dc.subject.keywordPlus | Electronic health record (EHRs) | - |
dc.subject.keywordPlus | General hospitals | - |
dc.subject.keywordPlus | Patient condition | - |
dc.subject.keywordPlus | Process Variation | - |
dc.subject.keywordPlus | Treatment process | - |
dc.subject.keywordPlus | Patient treatment | - |
dc.subject.keywordAuthor | Business process analysis | - |
dc.subject.keywordAuthor | Clinical features | - |
dc.subject.keywordAuthor | Clinical pathways | - |
dc.subject.keywordAuthor | Electronic health records (EHR) | - |
dc.subject.keywordAuthor | Evidence-based approach | - |
dc.subject.keywordAuthor | Statistical analysis | - |
dc.description.journalRegisteredClass | scopus | - |
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