Perspectives on the Narrative Review of the Knowledge on Artificial Intelligence

Thank you for your thoughtful response to our article and for sharing insights into your own rapid response team practices. We appreciate your engagement and the opportunity to clarify and expand on aspects of our work.We currently allocate 1 high-acuity response team (HART) nurse per shift. We have found that multiple priorities often occur simultaneously, including rapid response activations, cardiac arrests, ST-segment elevation myocardial infarctions, strokes, and traumas. The HART program is actively assessing volume and workflow to determine whether there is an operational need for a mid-shift HART nurse to support these demands.In our article, we used the Rothman Index (RI) as our early warning system (EWS). The RI tool is validated and approved by the Food and Drug Administration and is designed to predict patient decline. Although we did not conduct a patient-level analysis to determine whether individual RI scores directly correlated with rapid response activations or unplanned intensive care unit transfers, we agree that this focus would be valuable for future research and/or evidence-based initiatives.In response to your question about whether improved outcomes are driven by the EWS or by proactive rounding and mentorship of bedside staff, we believe the EWS is one tool in the nursing toolbox. It enables nurses to analyze and evaluate patient data more efficiently, detecting early signs of clinical deterioration. However, it is ultimately the nurse who must interpret the data and intervene appropriately. The EWS is only as effective as its application—if no one is actively using it, it cannot improve outcomes. The dedicated role of the HART nurse is to bridge the gap between technology and clinical practice, delivering timely and effective care to patients.We appreciate your interest in our work and share your commitment to advancing rapid response practices to improve patient care.

Authors

Publication Details

Journal
Critical Care Nurse
Published
2026-02-01
DOI
https://doi.org/10.4037/ccn2026188
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perspectives on the Narrative Review of the Knowledge on Artificial Intelligence

Kenneth Connell, Hyunmin Yu, Karina Kraevsky
Critical Care Nurse
Artificial Intelligence in Healthcare and Education
article

Perspectives on the Narrative Review of the Knowledge on Artificial Intelligence

Kenneth Connell, Hyunmin Yu, Karina Kraevsky
article en

Abstract

Thank you for your thoughtful response to our article and for sharing insights into your own rapid response team practices. We appreciate your engagement and the opportunity to clarify and expand on aspects of our work.We currently allocate 1 high-acuity response team (HART) nurse per shift. We have found that multiple priorities often occur simultaneously, including rapid response activations, cardiac arrests, ST-segment elevation myocardial infarctions, strokes, and traumas. The HART program is actively assessing volume and workflow to determine whether there is an operational need for a mid-shift HART nurse to support these demands.In our article, we used the Rothman Index (RI) as our early warning system (EWS). The RI tool is validated and approved by the Food and Drug Administration and is designed to predict patient decline. Although we did not conduct a patient-level analysis to determine whether individual RI scores directly correlated with rapid response activations or unplanned intensive care unit transfers, we agree that this focus would be valuable for future research and/or evidence-based initiatives.In response to your question about whether improved outcomes are driven by the EWS or by proactive rounding and mentorship of bedside staff, we believe the EWS is one tool in the nursing toolbox. It enables nurses to analyze and evaluate patient data more efficiently, detecting early signs of clinical deterioration. However, it is ultimately the nurse who must interpret the data and intervene appropriately. The EWS is only as effective as its application—if no one is actively using it, it cannot improve outcomes. The dedicated role of the HART nurse is to bridge the gap between technology and clinical practice, delivering timely and effective care to patients.We appreciate your interest in our work and share your commitment to advancing rapid response practices to improve patient care.

Critical Care NurseVol. 46(1)
Openalex Percentile: Top 73%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.