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Vol. 1 No. 2 (2024)

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January 20, 2026
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December 31, 2024

Copyright (c) 2024 Fahad Dakhillulah Almutairi, Yousef Mohammed Aloimer, Khalid Manahi Alshahrani, Sahar Gasi Alotaibi, Fawzeiaha Dahar Alanzy, Abdulrazaq Nafia Alanazi, Abdulaziz Dakhilallah Almutairi, Sheikah Abdrhman Ghazei Alotaibi, Ahlam Ali Alnami, Fatmah Abrahim Alshaia, Kathiyh Jaman Alyami, Samirah Ali Ali Mahnasi, Eman Mohammed Almadan

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The AI Co-Pilot in Nursing: A Systematic Review of Clinical Decision Support Systems at the Bedside

https://doi.org/10.64483/202412554
Fahad Dakhillulah Almutairi
Second Health Cluster, Qurtuba Health Center, Ministry of Health, Saudi Arabia
Yousef Mohammed Aloimer
Second Health Cluster, Al-Sahafa Health Center, Ministry of Health, Saudi Arabia
Khalid Manahi Alshahrani
Second Health Cluster in Riyadh, Qurtuba Health Center, Ministry of Health, Saudi Arabia
Sahar Gasi Alotaibi
Second Health Cluster / Al-Sahafa Health Center, Ministry of Health, Saudi Arabia
Fawzeiaha Dahar Alanzy
Ishbiliya Health Center, Riyadh, Ministry of Health, Saudi Arabia
Abdulrazaq Nafia Alanazi
Second Health Cluster, Al-Narjis Health Center, Riyadh, Ministry of Health, Saudi Arabia
Abdulaziz Dakhilallah Almutairi
First Health Cluster, King Saud Medical City, Ministry of Health, Saudi Arabia
Sheikah Abdrhman Ghazei Alotaibi
Dawadimi general hospital/third health cluster, Riyadh, Nursing, Ministry of Health , Saudi Arabia
Ahlam Ali Alnami
Primary Health Care Center, Al-Sahafa, Ministry of Health , Saudi Arabia
Fatmah Abrahim Alshaia
Ministry of Health , Saudi Arabia
Kathiyh Jaman Alyami
The First Health Cluster Riyadh, Ministry of Health , Saudi Arabia
Samirah Ali Ali Mahnasi
Aldaar Albayda' Althaania PHC, Riyadh, Ministry of Health , Saudi Arabia
Eman Mohammed Almadan
Imam Abdurahman Alfaisal  Hospital . Riyadh, Ministry of Health , Saudi Arabia

Corresponding Author(s) : Fahad Dakhillulah Almutairi

fadalmutairi@moh.gov.sa

Saudi Journal of Medicine and Public Health, Vol. 1 No. 2 (2024)

Abstract

Background: Nursing practice is under significant strain due to workforce shortages and increasing patient acuity. Traditional Clinical Decision Support Systems (CDSS) often lead to "alert fatigue" from vague alarms. The introduction of artificial intelligence, especially machine learning, represents a shift towards predictive, individualized CDSS, intended to assist bedside nurses effectively. Aim: This systematic narrative review synthesizes evidence (2010-2024) on the implementation and impact of AI-powered CDSS in nursing, focusing on applications in deterioration prediction, sepsis detection, and harm prevention. Methods: A systematic search of PubMed, CINAHL, Scopus, and IEEE Xplore databases identified peer-reviewed studies evaluating AI-CDS interventions in acute care nursing. Results: AI-CDSS offers improved predictive accuracy compared to traditional tools, enhancing outcomes such as sepsis bundle compliance and reducing adverse events. Its effect on mortality is ambiguous. Successful integration depends on human-centered design; ineffective systems heighten cognitive load, while effective ones bolster situational awareness. Key findings indicate AI can enhance judgment but may also cause automation bias and diagnostic deskilling. Alert fatigue remains a concern but can be alleviated through tiered, intelligent alerting and closed-loop workflows. Conclusion: The AI co-pilot represents a transformative but complex partner. Its value is realized not through algorithmic superiority alone, but through thoughtful design that supports nursing cognition, integrates seamlessly into workflow, and fosters a culture of calibrated trust, ensuring technology augments rather than displaces essential nursing judgment. 


 

Keywords

Artificial Intelligence; Nursing Informatics; Clinical Decision Support Systems; Patient Safety; Alert Fatigue.
Almutairi, F. D., Yousef Mohammed Aloimer, Khalid Manahi Alshahrani, Sahar Gasi Alotaibi, Fawzeiaha Dahar Alanzy, Abdulrazaq Nafia Alanazi, … Eman Mohammed Almadan. (2024). The AI Co-Pilot in Nursing: A Systematic Review of Clinical Decision Support Systems at the Bedside. Saudi Journal of Medicine and Public Health, 1(2), 1950–1958. https://doi.org/10.64483/202412554
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