ArticleScandinavian journal of trauma, resuscitation and emergency medicine2021
Incorporating a real-time automatic alerting system based on electronic medical records could improve rapid response systems: a retrospective cohort study.
Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
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Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.
- Effects of Real-Time Automated Clinical Deterioration Alert and Trigger Systems on Clinical Outcomes in Adult General Ward Patients: A Systematic Review and Meta-Analysis.Critical care medicine · 2026Pooled it
- Effect of electronic records on mortality among patients in hospital and primary healthcare settings: a systematic review and meta-analyses.Frontiers in digital health · 2024Pooled it
- It's late, but not too late to transform health systems: a global digital citizen science observatory for local solutions to global problems.Frontiers in digital health · 2024Article
- Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Effectiveness of automated alerting system compared to usual care for the management of sepsis.NPJ digital medicine · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRapid 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).
methodsWe 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).
resultsIn-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.
conclusionsReal-time AAS based on EMRs might help identify unstable patients. Early detection and intervention with RRS may improve patient outcomes.
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