Rapid response system in Japanese outpatient departments based on online registry: Multicentre observational study

Aoyama, Takeshi; Tsuneyoshi, Isao; Otake, Takanao; Ouchi, Kazuo; Kawase, Yuta; Arai, Masayasu; Shibata, Naoaki; Fujiwara, Shinsuke; Fujitani, Shigeki

doi:10.1016/j.resplu.2020.100065

Cited by 4 publications

(5 citation statements)

References 27 publications

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“… 3 , 12 Research into effective hospital-based response systems for outpatient settings is limited. 8 , 13 , 14 , 15 A MET-RN program was created for this quaternary care hospital system in response to increasing code calls to outpatient areas that did not always require a large critical care team response.…”

Section: Discussionmentioning

confidence: 99%

Nurse-led medical emergency response reduces code blue team activations in non-hospitalized patients

Nelson,

Brooks,

Mead-Harvey

et al. 2024

Resuscitation Plus

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Section: Discussionmentioning

confidence: 99%

Nurse-led medical emergency response reduces code blue team activations in non-hospitalized patients

Nelson,

Brooks,

Mead-Harvey

et al. 2024

Resuscitation Plus

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“…This retrospective cohort study used a Japanese nationwide online registry of patients receiving RRS activation, specifically the In-Hospital Emergency Registry (IHER-J) [ [12] , [13] , [14] , [15] , [16] ]. IHER-J, which is supported by the Japanese Society of Intensive Care Medicine and the Japanese Society for Emergency Medicine, is registered in the…”

Section: Methodsmentioning

confidence: 99%

Machine learning algorithm for predicting 30-day mortality in patients receiving rapid response system activation: A retrospective nationwide cohort study

Kurita,

Oami,

Tochigi

et al. 2024

Heliyon

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“…The core of the RRS is the start-up criteria and the rapid response team (RRT) (10,11). Furthermore, RRS was also applied in outpatient settings, while related study was few (12). This study adopted a bibliometric method to analyze the research status of emergency RRSs for hospitalized patients.…”

Section: Introductionmentioning

confidence: 99%

Emergency and rapid response systems: a bibliometric analysis

Jiang¹,

Huang²,

Su³

et al. 2022

Ann Transl Med

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Background: The emergency rapid response system (RRS) can reduce the mortality of hospitalized patients, and its core is the activation criteria and the rapid response team (RRT). This study adopted a bibliometric method to analyze the research status of RRSs for hospitalized patients. Methods:The Science Citation Index Expanded (SCI-E) database was searched using the keywords "emergency" and "rapid response system", and the search results were analyzed using CiteSpace software. The retrieved data included the annual distribution of studies and literature citations; the source country of the literature; the distribution of institutions and authors of the literature; the cooperation between countries, institutions, and authors; the distribution of journals that published the literature, and the use of keywords in the literature.Results: A total of 1,320 research papers were found, with a total of 29,920 citations. The number of papers and their citations increased yearly. The top 5 countries in terms of number of publications were the United States, Australia, China, the United Kingdom, and Canada. The top 5 countries in terms of centrality were the United States, the United Kingdom, Argentina, the Czech Republic, and Switzerland. The research institutions were mainly located in developed countries, such as the United States and Australia. There was relatively little collaboration between researchers. The journals that published the literature mainly specialized in critical care medicine and emergency medicine. The keyword analysis revealed that most studies focused on medical emergency teams (METs) and mortality.Conclusions: There were few studies related to the emergency RRS for hospitalized patients. The majority of studies were from developed countries and mainly focused on the impact of team building and the effect of the RRS on mortality.

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Rapid response system in Japanese outpatient departments based on online registry: Multicentre observational study

Cited by 4 publications

References 27 publications

Nurse-led medical emergency response reduces code blue team activations in non-hospitalized patients

Nurse-led medical emergency response reduces code blue team activations in non-hospitalized patients

Machine learning algorithm for predicting 30-day mortality in patients receiving rapid response system activation: A retrospective nationwide cohort study

Emergency and rapid response systems: a bibliometric analysis

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