DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, M. | - |
dc.contributor.author | Kim, K. | - |
dc.contributor.author | Lim, J. | - |
dc.contributor.author | Baek, H. | - |
dc.contributor.author | Kim, S. | - |
dc.contributor.author | Hwang, H. | - |
dc.contributor.author | Song, M. | - |
dc.contributor.author | Yoo, S. | - |
dc.date.accessioned | 2019-12-02T10:50:04Z | - |
dc.date.available | 2019-12-02T10:50:04Z | - |
dc.date.created | 2019-11-14 | - |
dc.date.issued | 2020-01 | - |
dc.identifier.issn | 1386-5056 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/100064 | - |
dc.description.abstract | Objective: A clinical pathway is one of the tools used to support clinical decision making that provides a standardized care process in a specific context. The objective of this research was to develop a method for building data-driven clinical pathways using electronic health record data. Materials and methods: We proposed a matching rate-based clinical pathway mining algorithm that produces the optimal set of clinical orders for each clinical stage by employing matching rates. To validate the approach, we utilized two different datasets of deidentified inpatient records directly related to total laparoscopic hysterectomy (TLH) and rotator cuff tears (RCTs) from a hospital in South Korea. The derived data-driven clinical pathways were evaluated with knowledge-based models by health professionals using a delta analysis. Results: Two different data-driven clinical pathways, i.e., TLH and RCTs, were produced by applying the matching rate-based clinical pathway mining algorithm. We identified that there were significant differences in clinical orders between the data-driven and knowledge-based models. Additionally, the data-driven clinical pathways based on our algorithm outperformed the models by clinical experts, with average matching rates of 82.02% and 79.66%, respectively. Conclusion: The proposed algorithm will be helpful for supporting clinical decisions and directly applicable in medical practices. | - |
dc.language | English | - |
dc.publisher | ELSEVIER IRELAND LTD | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS | - |
dc.subject | CARE | - |
dc.subject | PATTERNS | - |
dc.title | Developing data-driven clinical pathways using electronic health records: The cases of total laparoscopic hysterectomy and rotator cuff tears | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.ijmedinf.2019.104015 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, v.133 | - |
dc.identifier.wosid | 000500773000014 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS | - |
dc.citation.volume | 133 | - |
dc.contributor.affiliatedAuthor | Lim, J. | - |
dc.contributor.affiliatedAuthor | Song, M. | - |
dc.identifier.scopusid | 2-s2.0-85074241287 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | Data mining | - |
dc.subject.keywordPlus | Decision making | - |
dc.subject.keywordPlus | Gynecology | - |
dc.subject.keywordPlus | Knowledge based systems | - |
dc.subject.keywordPlus | Laparoscopy | - |
dc.subject.keywordPlus | Records management | - |
dc.subject.keywordPlus | Clinical pathways | - |
dc.subject.keywordPlus | Electronic health record | - |
dc.subject.keywordPlus | Evidence-based | - |
dc.subject.keywordPlus | Rotator cuff | - |
dc.subject.keywordPlus | Total laparoscopic hysterectomy(TLH) | - |
dc.subject.keywordPlus | Clinical research | - |
dc.subject.keywordAuthor | Clinical pathways | - |
dc.subject.keywordAuthor | Electronic health records(EHR) | - |
dc.subject.keywordAuthor | Evidence-Based approach | - |
dc.subject.keywordAuthor | Matching rates | - |
dc.subject.keywordAuthor | Rotator cuff tears(RCTs) | - |
dc.subject.keywordAuthor | Total laparoscopic hysterectomy(TLH) | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Health Care Sciences & Services | - |
dc.relation.journalWebOfScienceCategory | Medical Informatics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Health Care Sciences & Services | - |
dc.relation.journalResearchArea | Medical Informatics | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
library@postech.ac.kr Tel: 054-279-2548
Copyrights © by 2017 Pohang University of Science ad Technology All right reserved.