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Original Article
- Quality Improvement
- Successful Implementation of a Rapid Response System in the Department of Internal Medicine
- Yeon Joo Lee, Jin Joo Park, Yeonyee E Yoon, Jin Won Kim, Jong Sun Park, Taeyun Kim, Jae Hyuk Lee, Jung Won Suh, You Hwan Jo, Sangheon Park, Kyuseok Kim, Young Jae Cho
- Korean J Crit Care Med. 2014;29(2):77-82. Published online May 31, 2014
- DOI: https://doi.org/10.4266/kjccm.2014.29.2.77
- 6,852 View
- 113 Download
- 7 Crossref
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Abstract
PDF - Background
A rapid response system (RRS) aims to prevent unexpected patient death due to clinical errors and is becoming an essential part of intensive care. We examined the activity and outcomes of RRS for patients admitted to our institution’s department of internal medicine.
Methods
We retrospectively reviewed patients detected by the RRS and admitted to the medical intensive care unit (MICU) from October 2012 through August 2013. We studied the overall activity of the RRS and compared patient outcomes between those admitted via the RRS and those admitted conventionally.
Results
A total of 4,849 alert lists were generated from 2,505 medical service patients. The RRS was activated in 58 patients: A (Admit to ICU), B (Borderline intervention), C (Consultation), and D (Do not resuscitate) in 26 (44.8%), 21 (36.2%), 4 (6.9%), and 7 (12.1%) patients, respectively. Low oxygen saturation was the most common criterion for RRS activation. MICU admission via the RRS resulted in a shorter ICU stay than that via conventional admission (6.2 vs. 9.9 days, p = 0.018).
Conclusions
An RRS can be successfully implemented in medical services. ICU admission via the RRS resulted in a shorter ICU stay than that via conventional admission. Further study is required to determine long-term outcomes. -
Citations
Citations to this article as recorded by
- Temporal variational autoencoder model for in-hospital clinical emergency prediction
Trong-Nghia Nguyen, Soo-Hyung Kim, Bo-Gun Kho, Nhu-Tai Do, Ngumimi-Karen Iyortsuun, Guee-Sang Lee, Hyung-Jeong Yang
Biomedical Signal Processing and Control.2025; 100: 106975. CrossRef - Effectiveness of Rapid Response Team implementation in a tertiary hospital in Egypt: an interventional study
Rania Hosny, Rasha Saad Hussein, Wafaa Mohamed Hussein, Sally Adel Hakim, Ihab Shehad Habil
BMJ Open Quality.2024; 13(3): e002540. CrossRef - Characteristics and Prognosis of Hospitalized Patients at High Risk of Deterioration Identified by the Rapid Response System: a Multicenter Cohort Study
Sang Hyuk Kim, Ji Young Hong, Youlim Kim
Journal of Korean Medical Science.2021;[Epub] CrossRef - Effects of a Rapid Response Team on the Clinical Outcomes of Cardiopulmonary Resuscitation of Patients Hospitalized in General Wards
Mi-Jung Yoon, Jin-Hee Park
Journal of Korean Academy of Fundamentals of Nursing.2021; 28(4): 491. CrossRef - Rapid response systems in Korea
Bo Young Lee, Sang-Bum Hong
Acute and Critical Care.2019; 34(2): 108. CrossRef - Effect of a rapid response system on code rates and in-hospital mortality in medical wards
Hong Yeul Lee, Jinwoo Lee, Sang-Min Lee, Sulhee Kim, Eunjin Yang, Hyun Joo Lee, Hannah Lee, Ho Geol Ryu, Seung-Young Oh, Eun Jin Ha, Sang-Bae Ko, Jaeyoung Cho
Acute and Critical Care.2019; 34(4): 246. CrossRef - Differences in the Clinical Characteristics of Rapid Response System Activation in Patients Admitted to Medical or Surgical Services
Yeon Joo Lee, Dong Seon Lee, Hyunju Min, Yun Young Choi, Eun Young Lee, Inae Song, Yeonyee E. Yoon, Jin Won Kim, Jong Sun Park, Young-Jae Cho, Jae Hyuk Lee, Jung-Won Suh, You Hwan, Kyuseok Kim, Sangheon Park
Journal of Korean Medical Science.2017; 32(4): 688. CrossRef
- Temporal variational autoencoder model for in-hospital clinical emergency prediction
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