Working With AI and Robotic Systems While Preserving Clinical Judgement, Professional Accountability and Person‐Centred Care: Critical Care Nurses’ Perspectives

ABSTRACT Background The integration of AI and robotic systems into critical care necessitates examining how ICU nurses preserve clinical judgement, professional accountability and person‐centred care while using these technologies. Aims To explore ICU nurses' perceptions of AI and robotic systems in critical care, focusing on clinical judgement, trust, responsibility, professional roles and person‐centred care. Study Design A qualitative descriptive study using scenario‐based elicitation was conducted. Data were collected through seven semi‐structured focus group discussions (FGDs) with 38 ICU nurses working in general, paediatric and cardiovascular surgery ICUs in two hospitals in Istanbul City. Data were analysed using reflexive thematic analysis, supported by MAXQDA 2024. Findings Four themes were developed: negotiating trust in AI‐supported critical care; preserving human authority, accountability and boundaries; protecting the human core of intensive care nursing; and reimagining AI and robotic systems as supportive partners. ICU nurses evaluated these systems through bedside verification, patient safety, professional responsibility and person‐centred care. AI recommendations were useful only when nurses could question, verify, delay or override them according to the patient's current condition. Robotic systems were valuable when they reduced documentation or physical workload, but not when they replaced clinical judgement, emotional presence, reassurance or accountability. Conclusions ICU nurses conceptualised AI and robotic systems as acceptable only when clinically verifiable, professionally bounded and subordinate to human judgement. The findings support a model of AI‐ and robot‐supported ICU care that is responsible, human‐led and person‐centred. Relevance to Clinical Practice AI and robotic systems should be implemented in ways that strengthen, rather than replace, nurses' clinical judgement, accountability and bedside presence. Clear protocols are needed to verify AI outputs, define robotic task boundaries, support nurses' authority to question or override recommendations and preserve person‐centred care in technologically intensive ICU environments.

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Publication Details

Journal
Nursing in Critical Care
Published
2026-10-12
DOI
https://doi.org/10.1111/nicc.70695
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Working With AI and Robotic Systems While Preserving Clinical Judgement, Professional Accountability and Person‐Centred Care: Critical Care Nurses’ Perspectives

Noordeen Shoqirat, Tuba Şengül, Holly Kirkland‐Kyhn, Melek Demiral et al.
Nursing in Critical Care
Artificial Intelligence in Healthcare and Education
article

Working With AI and Robotic Systems While Preserving Clinical Judgement, Professional Accountability and Person‐Centred Care: Critical Care Nurses’ Perspectives

Noordeen Shoqirat, Tuba Şengül, Holly Kirkland‐Kyhn, Melek Demiral, Tuğba Cevizci, Dilek Yilmaz Akyaz, Deema Mahasneh, Yunus Emre Akyol, Buse Macit Kaplan
article en

Abstract

ABSTRACT Background The integration of AI and robotic systems into critical care necessitates examining how ICU nurses preserve clinical judgement, professional accountability and person‐centred care while using these technologies. Aims To explore ICU nurses' perceptions of AI and robotic systems in critical care, focusing on clinical judgement, trust, responsibility, professional roles and person‐centred care. Study Design A qualitative descriptive study using scenario‐based elicitation was conducted. Data were collected through seven semi‐structured focus group discussions (FGDs) with 38 ICU nurses working in general, paediatric and cardiovascular surgery ICUs in two hospitals in Istanbul City. Data were analysed using reflexive thematic analysis, supported by MAXQDA 2024. Findings Four themes were developed: negotiating trust in AI‐supported critical care; preserving human authority, accountability and boundaries; protecting the human core of intensive care nursing; and reimagining AI and robotic systems as supportive partners. ICU nurses evaluated these systems through bedside verification, patient safety, professional responsibility and person‐centred care. AI recommendations were useful only when nurses could question, verify, delay or override them according to the patient's current condition. Robotic systems were valuable when they reduced documentation or physical workload, but not when they replaced clinical judgement, emotional presence, reassurance or accountability. Conclusions ICU nurses conceptualised AI and robotic systems as acceptable only when clinically verifiable, professionally bounded and subordinate to human judgement. The findings support a model of AI‐ and robot‐supported ICU care that is responsible, human‐led and person‐centred. Relevance to Clinical Practice AI and robotic systems should be implemented in ways that strengthen, rather than replace, nurses' clinical judgement, accountability and bedside presence. Clear protocols are needed to verify AI outputs, define robotic task boundaries, support nurses' authority to question or override recommendations and preserve person‐centred care in technologically intensive ICU environments.

Nursing in Critical CareVol. 31(6)
Higher Colleges of Technology (AE), Koç University (TR), Ajman University (AE), Mutah University (JO), Haydarpaşa Numune Eğitim ve Araştırma Hastanesi (TR), Sağlık Bilimleri Üniversitesi (TR), UC Davis Health (US)
Openalex Percentile: Top 19%
Artificial Intelligence in Healthcare and Education
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