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Incorporating a real-time automatic alerting system based on electronic medical records could improve rapid response systems: a retrospective cohort study
DC Field | Value | Language |
---|---|---|
dc.contributor.author | You, Seung-Hun | - |
dc.contributor.author | Jung, Sun-Young | - |
dc.contributor.author | Lee, Hyun Joo | - |
dc.contributor.author | Kim, Sulhee | - |
dc.contributor.author | Yang, Eunjin | - |
dc.date.accessioned | 2022-03-18T05:31:27Z | - |
dc.date.available | 2022-03-18T05:31:27Z | - |
dc.date.issued | 2021-12-04 | - |
dc.identifier.citation | Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine. 2021 Dec 04;29(1):164 | ko_KR |
dc.identifier.issn | Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine | - |
dc.identifier.uri | https://doi.org/10.1186/s13049-021-00979-y | - |
dc.identifier.uri | https://hdl.handle.net/10371/177022 | - |
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. | ko_KR |
dc.description.sponsorship | The author(s) received no fnancial support for the research, authorship, and/or publication of this article. | ko_KR |
dc.language.iso | en | ko_KR |
dc.publisher | BMC | ko_KR |
dc.subject | Rapid response team | - |
dc.subject | Clinical alarms | - |
dc.subject | Quality improvements | - |
dc.subject | Resuscitation | - |
dc.subject | Intensive care units | - |
dc.title | Incorporating a real-time automatic alerting system based on electronic medical records could improve rapid response systems: a retrospective cohort study | ko_KR |
dc.type | Article | ko_KR |
dc.contributor.AlternativeAuthor | 유승훈 | - |
dc.contributor.AlternativeAuthor | 정선영 | - |
dc.contributor.AlternativeAuthor | 이현주 | - |
dc.contributor.AlternativeAuthor | 김설희 | - |
dc.contributor.AlternativeAuthor | 양은진 | - |
dc.citation.journaltitle | Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine | ko_KR |
dc.language.rfc3066 | en | - |
dc.rights.holder | The Author(s) | - |
dc.date.updated | 2021-12-05T04:13:54Z | - |
dc.citation.number | 1 | ko_KR |
dc.citation.startpage | 164 | ko_KR |
dc.citation.volume | 29 | ko_KR |
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