Cited 4 times in
Incorporating a real-time automatic alerting system based on electronic medical records could improve rapid response systems: a retrospective cohort study
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dc.date.accessioned | 2022-11-24T00:59:29Z | - |
dc.date.available | 2022-11-24T00:59:29Z | - |
dc.date.issued | 2021-12 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/191116 | - |
dc.description.abstract | Background: Rapid response systems (RRSs) are essential components of patient safety systems; however, limited evidence exists regarding their effectiveness and optimal structures. We aimed to assess the activation patterns and outcomes of RRS implementation with/without a real-time automatic alerting system (AAS) based on electronic medical records (EMRs). Methods: We retrospectively analyzed clinical data of patients for whom the RRS was activated in the surgical wards of a tertiary university hospital. We compared the code rate, in-hospital mortality, unplanned intensive care unit (ICU) admission, and other clinical outcomes before and after applying RRS and AAS as follows: pre-RRS (January 2013-July 2015), RRS without AAS (August 2015-November 2016), and RRS with AAS (December 2016-December 2017). Results: In-hospital mortality per 1000 admissions decreased from 15.1 to 12.9 after RRS implementation (p < 0.001). RRS activation per 1000 admissions increased from 14.4 to 26.3 after AAS implementation. The severity of patients' condition calculated using the modified early warning score increased from 2.5 (± 2.1) in the RRS without AAS to 3.6 (± 2.1) (p < 0.001) in the RRS with AAS. The total and preventable code rates and in-hospital mortality rates were comparable between the RRS implementation periods without/with AAS. ICU duration and mortality results improved in patients with RRS activation and unplanned ICU admission. The data of RRS non-activated group remained unaltered during the study. Conclusions: Real-time AAS based on EMRs might help identify unstable patients. Early detection and intervention with RRS may improve patient outcomes. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | BioMed Central | - |
dc.relation.isPartOf | SCANDINAVIAN JOURNAL OF TRAUMA RESUSCITATION & EMERGENCY MEDICINE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Electronic Health Records* | - |
dc.subject.MESH | Hospital Mortality | - |
dc.subject.MESH | Hospitalization | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Intensive Care Units* | - |
dc.subject.MESH | Retrospective Studies | - |
dc.title | Incorporating a real-time automatic alerting system based on electronic medical records could improve rapid response systems: a retrospective cohort study | - |
dc.type | Article | - |
dc.contributor.college | College of Nursing (간호대학) | - |
dc.contributor.department | Dept. of Nursing (간호학과) | - |
dc.contributor.googleauthor | Seung-Hun You | - |
dc.contributor.googleauthor | Sun-Young Jung | - |
dc.contributor.googleauthor | Hyun Joo Lee | - |
dc.contributor.googleauthor | Sulhee Kim | - |
dc.contributor.googleauthor | Eunjin Yang | - |
dc.identifier.doi | 10.1186/s13049-021-00979-y | - |
dc.relation.journalcode | J02636 | - |
dc.identifier.eissn | 1757-7241 | - |
dc.identifier.pmid | 34863275 | - |
dc.subject.keyword | Clinical alarms | - |
dc.subject.keyword | Intensive care units | - |
dc.subject.keyword | Quality improvements | - |
dc.subject.keyword | Rapid response team | - |
dc.subject.keyword | Resuscitation | - |
dc.citation.volume | 29 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 164 | - |
dc.identifier.bibliographicCitation | SCANDINAVIAN JOURNAL OF TRAUMA RESUSCITATION & EMERGENCY MEDICINE, Vol.29(1) : 164, 2021-12 | - |
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