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Cited by 213Artificial Intelligence in Healthcare and EducationArtificial Intelligence ApplicationsNursing Diagnosis and Documentation

The DOI matches its Crossref record; 75 of the 76 references it cites were found in a registry or an index; none of the 28 sources its claims cite is checked for support yet.

Artificial intelligence in future nursing care: Exploring perspectives of nursing professionals - A descriptive qualitative study

Open access
Rony, Moustaq Karim Khan, Kayesh, Ibne, Bala, Shuvashish Das, Akter, Fazila, Parvin, Mst. Rina·2024·Heliyon
DOI 10.1016/j.heliyon.2024.e25718PMC PMC10869862
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Abstract

Background: The healthcare landscape is rapidly evolving, with artificial intelligence (AI) emerging as a transformative force. In this context, understanding the viewpoints of nursing professionals regarding the integration of AI in future nursing care is crucial. Aims: This study aimed to provide insights into the perceptions of nursing professionals regarding the role of AI in shaping the future of healthcare. Methods: A cohort of 23 nursing professionals was recruited between April 7, 2023, and May 4, 2023, for this study. Employing a thematic analysis approach, qualitative data from interviews with nursing professionals were analyzed. Verbatim transcripts underwent rigorous coding, and these codes were organized into themes through constant comparative analysis. The themes were refined and developed through the grouping of related codes, ensuring an authentic representation of participants' viewpoints. Results: After careful data analysis, ten key themes emerged including: (I) Perceptions of AI readiness; (II) Benefits and concerns; (III) Enhanced patient outcomes; (IV) Collaboration and workflow; (V) Human-tech balance: (VI) Training and skill development; (VII) Ethical and legal considerations; (VIII) AI implementation barriers; (IX) Patient-nurse relationships; (X) Future vision and adaptation. Conclusion: This study provides valuable insights into nursing professionals' perspectives on the integration of AI in future nursing care. It highlights their enthusiasm for AI's potential benefits while emphasizing the importance of ethical and compassionate nursing practice. The findings underscore the need for comprehensive training programs to equip nursing professionals with the skills necessary for successful AI integration. Ultimately, this research contributes to the ongoing discourse on the role of AI in nursing, paving the way for a future where innovative technologies complement and enhance the delivery of patient-centered care.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This descriptive qualitative study interviewed 23 nursing professionals in Dhaka, Bangladesh, and identified ten themes about AI in future nursing care, including optimism, ethical concerns, training needs, and the importance of human connection. Participants generally saw AI as an opportunity to enhance care rather than replace nurses, while emphasizing compassionate practice and preparation.

Key findings

  • Ten key themes emerged: perceptions of AI readiness; benefits and concerns; enhanced patient outcomes; collaboration and workflow; human-tech balance; training and skill development; ethical and legal considerations; AI implementation barriers; patient-nurse relationships; future vision and adaptation.
  • Nurses described AI readiness as a blend of optimism and caution, seeing AI as a way to enhance patient care and streamline processes while preserving nursing expertise and human connection.
  • Participants expected AI to support early detection, predictive insights, individualized treatment, workflow coordination, and more time for patient relationships, but raised concerns about data privacy, security, subtle clinical nuances, limited resources, and resistance to change.
  • Training and skill development were repeatedly emphasized, with nurses calling for comprehensive education to use AI effectively and ethically.

Methods

  • Descriptive qualitative design using thematic analysis, reported according to the COREQ checklist, conducted at three tertiary-level private hospitals in Dhaka city, Bangladesh.
  • Purposive sampling recruited 23 nursing professionals between April 7, 2023, and May 4, 2023; inclusion required at least a master’s degree and at least 5 years of professional experience, with registered nurses and nurse educators emphasized.
  • Data came from semi-structured interviews of approximately 45–60 minutes, audio-recorded with consent, transcribed verbatim, coded, and organized into themes through constant comparative analysis.

Limitations

  • The paper states that the sample size may not represent the diversity of nursing professionals’ perspectives and recommends a larger, more diverse sample.
  • The paper states that it did not include viewpoints of patients and AI developers, which could provide a more holistic understanding.
  • Evident from the text: the study was limited to three private tertiary hospitals in Dhaka and recruited only highly educated, experienced nurses, which may restrict transferability to other settings or nursing cadres.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.heliyon.2024.e25718

Cites

75 of 75 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 28 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    Nurses' viewpoints on AI readiness encompass a blend of optimism and caution.

    “This study revealed that nurses' viewpoints on AI readiness encompass a blend of optimism and caution.”
    Quote in the paperSubstantial claim
  • Findingown data

    Nurses in the study expressed willingness to explore AI's potential contribution to diagnoses and customized treatment strategies.

    “The nurses' willingness to explore AI's potential contribution to diagnoses and customized treatment strategies speaks to their dedication.”
    Quote in the paperSubstantial claim
  • Findingown data

    Ten key themes emerged from the data analysis.

    “After careful data analysis, ten key themes emerged including: (I) Perceptions of AI readiness; (II) Benefits and concerns; (III) Enhanced patient outcomes; (IV) Collaboration and workflow; (V) Human-tech balance: (VI) Training and skill development; (VII) Ethical and legal considerations; (VIII) AI implementation barriers; (IX) Patient-nurse relationships; (X) Future vision and adaptation.”
    Quote in the paperSubstantial claim
  • Findingown data

    Nurses in the study emphasized AI's facilitative role in information sharing to optimize patient outcomes.

    “AI's facilitative role in information sharing aligns with their commitment to optimizing patient outcomes, demonstrating a forward-looking approach where collaboration and technology intertwine for the betterment of patient care.”
    Quote in the paperNot a substantial claim
  • Findingown data

    Nurses envision AI as a tool to amplify their caregiving role rather than replace it.

    “They envision AI as a tool to amplify their caregiving role rather than replace it, emphasizing the holistic approach that defines nursing.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one. 41
  • Probably not a substantial claim. 40
  • The quote only partly states this claim. 2

  • It may state two separate claims as one.

    Findingcitation

    Nurses' readiness to embrace AI is coupled with a call for comprehensive training.

    “Their readiness to embrace AI is coupled with a call for comprehensive training, highlighting their commitment to ensuring a seamless integration that leverages AI's benefits [40].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [40] Van Der Gaag, 2023, Artificial intelligence in health professions regulation: an exploratory qualitative study of nurse regulators in three urisdictions, Journal of Nursing Regulation source

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingcitation

    Nurses in the study expressed concern that AI might overlook subtle nuances perceivable only by a seasoned human observer.

    “However, a notable apprehension looms – the possibility that AI might overlook subtle nuances perceivable only by a seasoned human observer [42].”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim. It may state two separate claims as one.

    Findingown data

    Nurses in the study believed nursing is interwoven with empathy and genuine human connections, and AI's technical support cannot replace nurses' unique ability to form authentic bonds.

    “In addition, nurses believed that nursing is depicted as a tapestry interwoven with empathy and genuine human connections. While AI contributes technical support, it's the nurses' unique ability to forge authentic bonds that distinguishes their practice [47].”
    Quote in the paperSubstantial claim

  • It may state two separate claims as one.

    Findingown data

    Nurses' optimism about AI is paralleled by concerns about the preservation of their expertise and the unique human connection central to nursing.

    “This optimism, however, is paralleled by concerns about the preservation of their expertise and the unique human connection central to nursing.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim.

    Findingcitation

    Nurses in the study believed AI integration demands a comprehensive reevaluation of training programs to equip nurses with skills to navigate AI.

    “This evolving landscape demands a thorough reassessment of training programs to ensure nurses possess the aptitude to navigate AI seamlessly within their practice [48].”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingcitation

    Nurses in the study expressed optimism that AI could aid in early detection of critical medical indicators, enabling swift interventions and saving lives.

    “The prospect of AI's contribution to early detection of critical medical indicators sparks excitement, offering the potential to enhance swift interventions and ultimately save lives [41].”
    Quote in the paperNot a substantial claim

  • It may state two separate claims as one.

    Findingown data

    Nurses in the study viewed AI as a potential seamless partner to streamline tasks and enhance coordination among healthcare professionals.

    “Nursing thrives on teamwork, and the prospect of AI as a seamless partner, streamlining tasks and fostering coordination, presents an enticing avenue for improved efficiency.”
    Quote in the paperSubstantial claim

  • It may state two separate claims as one.

    Findingown data

    Nurses in the study acknowledged potential benefits of AI but maintained that commitment to compassionate care remains the cornerstone.

    “The potential benefits of AI are acknowledged, yet the nurses' unwavering commitment to compassionate care remains the cornerstone.”
    Quote in the paperSubstantial claim

  • It may state two separate claims as one.

    Findingown data

    Nurses in the study believed AI could amplify the collective expertise of healthcare teams and provide insights for shared decision-making.

    “Moreover, AI's potential to amplify the collective expertise of healthcare teams resonates strongly. Envisioning AI as an integral addition, providing valuable insights for shared decision-making, hints at a future where technology seamlessly complements human expertise [46].”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. It may state two separate claims as one.

    Findingown data

    Nurses in the study maintained that commitment to compassionate care remains the foundation of nursing and AI should reinforce rather than diminish it.

    “Despite AI's potential for medical progress, the nurses' unwavering commitment to compassionate care stands as the bedrock of nursing. Their statements underscore a collective belief in AI's potential to augment nursing, provided it complements and strengthens the deeply rooted values that define this noble profession.”
    Quote in the paperSubstantial claim

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    Findingown data

    Nurses in the study emphasized that the nursing role extends beyond technology, requiring compassion and understanding that AI cannot provide.

    “As AI integration advances, the nurses emphasize the enduring essence of their role – one that extends beyond mere technology. Patients seek not just clinical expertise, but also the warmth of compassion and understanding, virtues that transcend AI's capabilities.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Findingown data

    Nurses in the study viewed AI as potentially relieving them from routine tasks, allowing them to focus on intricate patient needs and deeper connections.

    “The thought of AI relieving nurses from routine tasks is invigorating, envisioning a future where professionals can channel their energies towards intricate patient needs and fostering deeper connections.”
    Quote in the paperNot a substantial claim

  • It may state two separate claims as one.

    Findingown data

    Nurses acknowledge AI's alignment with their innovative spirit and express willingness to evolve with the technology.

    “The nurses' adaptability shines through, as they acknowledge AI's alignment with their innovative spirit and express their willingness to evolve with the technology.”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim.

    Findingown data

    Nurses in the study envisioned a symbiotic partnership where AI handles analytical tasks while nurses focus on the human facets of patient care.

    “Furthermore, nurses mentioned that the envisioned partnership between nurses and AI is portrayed as symbiotic, with AI handling analytical tasks while nurses focus on the human facets of patient care.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingcitation

    Nurses in the study envisioned AI-guided treatment plans tailored to individual patient needs, promising personalization previously unattainable.

    “In addition, imagining treatment plans meticulously tailored to individual patient needs, guided by AI's analytical prowess, opens the door to a new era of patient care. This concept promises a level of personalization previously unattainable, with the potential to redefine the very essence of healthcare [45].”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Nurses in the study emphasized safeguarding patient data privacy and security as AI integration progresses.

    “As AI integration progresses, the nurses' emphasis on safeguarding patient data privacy and security resonates deeply.”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim.

    Findingown data

    Nurses in the study believed AI's rapid analytical capabilities could offer quicker insights and more immediate decision-making in patient treatment, particularly critical in life-or-death situations.

    “Moreover, the rapid analytical capabilities of AI offer the prospect of swifter insights and more immediate decision-making in patient treatment, particularly critical in life-or-death situations.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Findingcitation

    Nurses in the study expressed excitement and hope that AI could predict patient deteriorations before they manifest, enabling timelier interventions and improved clinical outcomes.

    “The notion of AI foreseeing potential patient deteriorations before they manifest sparks excitement, hinting at the possibility of timelier interventions and improved clinical results [44].”
    Quote in the paperNot a substantial claim

  • It may state two separate claims as one.

    Findingown data

    Nurses see the integration of AI as an opportunity to enhance patient care and streamline processes.

    “They see the integration of AI as an opportunity to enhance patient care and streamline processes, recognizing its potential to redefine healthcare.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim.

    Findingown data

    Nurses in the study emphasized the need for discourse to establish frameworks guiding the ethical implementation and application of AI in nursing.

    “They accentuate the need for discourse aimed at establishing frameworks that guide the ethical incorporation and application of AI within nursing.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim.

    Findingown data

    Nurses in the study emphasized that their aptitude for delivering compassionate care remains unmatched despite AI's data-driven insights.

    “While AI offers data-driven insights, the nurses emphasize that their aptitude for delivering compassionate care remains unmatched [52].”
    Quote in the paperSubstantial claim

  • It may state two separate claims as one.

    Findingown data

    Nurses in the study regarded AI integration as a transformative era in nursing and embraced change to maximize benefits and lead.

    “In addition, the nurses regard AI's integration as the herald of a transformative epoch in nursing. Their embrace of change and forward-looking mindset positions them to harness AI's potential, emerging as leaders in an evolving landscape where innovation prevails.”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Nurses in the study underscored a collaborative approach to address implementation challenges for a seamless transition.

    “A collaborative approach to address these challenges is underscored as pivotal for a seamless transition.”
    Quote in the paperNot a substantial claim

  • It may state two separate claims as one.

    Findingown data

    Nurses in the study recognized ethical questions concerning patient privacy and data security arising from AI, and adopted the role of advocates for ethical and responsible use.

    “With AI's emergence in their domain, nurses keenly recognize the intricate ethical inquiries it prompts, especially concerning patient privacy and data security. They proactively adopt the role of advocates, embracing the responsibility to champion these concerns and ensure the conscientious and ethical use of AI.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingcitation

    Nurses in the study believed AI integration demands a united effort to overcome technical complexities and entrenched resistance within healthcare systems.

    “Regarding this, AI's integration demands a united endeavor to overcome technical complexities and entrenched resistance within healthcare systems [50].”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim.

    Findingown data

    Nurses in the study advocated for AI to augment, not substitute, their capacity to connect with and understand patients' unique needs.

    “They advocate for a harmonious integration of AI that augments, rather than substitutes, their capacity to connect with and understand the unique needs of patients.”
    Quote in the paperSubstantial claim

  • It may state two separate claims as one.

    Findingown data

    Nurses in the study emphasized an ongoing commitment to learning and actively seeking opportunities to enhance AI-related understanding for quality care.

    “In addition, the nurses' commitment to embracing AI is underscored by a dedication to continuous learning. They emphasize the significance of actively seeking opportunities to enhance their AI-related understanding, highlighting its pivotal role in delivering exceptional patient care.”
    Quote in the paperNot a substantial claim

  • It may state two separate claims as one.

    Findingown data

    Nurses in the study viewed AI as a frontier of innovation requiring investment in training to harness its capabilities.

    “This study also explored that nurses believe AI's potential in nursing is acknowledged as a frontier of innovation, necessitating an investment in training that empowers nurses to harness its capabilities effectively.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. It may state two separate claims as one.

    Findingown data

    Nurses in the study believed adaptation is essential as nursing care evolves, and envisioning AI integration empowers them to drive innovation.

    “Amidst evolving nursing care, adaptation takes precedence. Their vision of a future harmonizing AI underscores their role as drivers of innovation, shaping a path where novel technologies and compassionate patient care seamlessly converge.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. It may state two separate claims as one.

    Findingown data

    Nurses in the study believed nursing care's future intertwines with AI, and embracing new technologies can shape a future aligning innovation with compassionate care.

    “The nurses' candid perspective acknowledges the inextricable link between nursing care and AI's trajectory. Their readiness to embrace new technologies and recalibrate their approach positions them to influence a future where cutting-edge innovations enhance their dedication to patient well-being.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. It may state two separate claims as one. The quote only partly states this claim.

    Findingown data

    Nurses in the study emphasized proactive adaptation, staying informed, embracing innovation, and maintaining an open-minded perspective to shape a future where AI enhances practice.

    “They emphasize that staying informed, embracing innovation, and maintaining an open-minded perspective are pivotal in shaping a future where AI elevates their practice.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Nurses in the study advocated for fostering a culture of adaptability and innovation to overcome barriers and incorporate AI.

    “Fostering a culture of adaptability and innovation, the nurses advocate for a proactive stance that equips them to collectively surmount barriers and seamlessly incorporate AI.”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Findingown data

    Nurses in the study believed anticipating and embracing AI positions them as pioneers in shaping nursing's future.

    “By proactively anticipating and embracing AI's potential, the nurses carve a trail towards pioneering nursing's future [53].”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim.

    Findingown data

    Nurses in the study asserted that upholding the human touch remains paramount despite AI's potential to revolutionize patient care.

    “They assert that despite AI's potential to revolutionize patient care, upholding the human touch remains paramount, preserving the essence of nursing and genuine patient connections.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim.

    Findingown data

    Nurses in the study believed nursing education needs to adapt and evolve to prepare nurses to collaborate with AI-driven systems.

    “As the integration of AI gains momentum, nursing education's evolution becomes crucial, engaging both aspiring and seasoned nurses in a journey of learning that ensures harmonious collaboration with AI-driven systems.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim.

    Findingcitation

    Participants envisioned AI as a collaborative partner within healthcare teams.

    “In the participants' view, AI is envisioned as a collaborative partner within healthcare teams, reinforcing research that explores AI's role in augmenting healthcare professionals' capabilities and promoting interdisciplinary collaboration [65].”
    Quote in the paperSubstantial claim

  • It may state two separate claims as one.

    Findingown data

    Participants acknowledged AI's potential to amplify patient outcomes and optimize care processes.

    “They acknowledge the potential of AI to amplify patient outcomes and optimize care processes through technological advancements.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. It may state two separate claims as one.

    Findingcitation

    Nurses in the study envisioned AI enhancing patient interactions, extending time for nurturing profound relationships and providing emotional support.

    “AI's role is envisioned as enhancing patient interactions, extending the time available for nurturing profound relationships, and providing the emotional support that patients rely upon [51].”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductown data

    Ethical approval was obtained from the Mahbubur Rahman Memorial Hospital & Nursing Institute.

    “Ethical guidelines and principles outlined by relevant research ethics committees were adhered to at all stages of the study, including approval from the Mahbubur Rahman Memorial Hospital & Nursing Institute (Approval number: MRMHNI/IRB/HR-03/September 11, 2023).”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given

    Informed consent was obtained from all participants.

    “Informed consent was obtained from all participants, ensuring their voluntary participation.”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductown data

    Member checking was used in the data analysis.

    “This methodical journey encompassed coding, theme development, and member checking, collectively enhancing the dependability and authenticity of the identified patterns and themes.”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given

    Participants' confidentiality and anonymity were strictly maintained.

    “Participants' confidentiality and anonymity were strictly maintained during data collection, analysis, and reporting.”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim.

    Study design and conductreasoning

    The inclusion of participants spanning a spectrum of experience and expertise bolstered the depth and breadth of insights.

    “The inclusion of participants spanning a spectrum of experience and expertise bolstered the depth and breadth of insights, culminating in a well-rounded comprehension of the subject matter.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim.

    Study design and conductreasoning

    A purposive sampling strategy was employed to select participants with pertinent knowledge and experience in nursing care and AI.

    “This method involved the intentional selection of individuals with pertinent knowledge and experience in the domains of nursing care and AI.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given

    The COREQ checklist was followed throughout the study.

    “The researchers ensured that the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist was followed throughout the study to enhance the rigor and transparency of the qualitative research process.”
    Quote in the paperNot a substantial claim

  • It may state two separate claims as one.

    Interpretationcitation

    Participants were committed to sustaining dedicated and compassionate care amidst AI integration, resonating with studies on preserving the humanistic essence of caregiving.

    “The participants' unwavering commitment to sustaining dedicated and compassionate care amidst AI integration resonates with studies that emphasize the essential nature of preserving the humanistic essence of caregiving [59,60].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [59] Poncette, 2019, Clinical requirements of future patient monitoring in the intensive care unit: qualitative study, JMIR Med Inform source
    • cites [60] Yoo, 2022, Critical role of information and communication technology in nursing during the COVID‐19 pandemic: a qualitative study, J. Nurs. Manag. source

  • It may state two separate claims as one.

    Interpretationcitation

    Participants recognized time as a pivotal factor in patient care, aligning with recognition of AI's capacity to expedite decision-making in critical scenarios.

    “Moreover, the recognition of time as a pivotal factor in patient care aligns with the growing recognition of AI's capacity to expedite decision-making, particularly in critical scenarios [64].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [64] Shang, 2021, A concept analysis on the use of artificial intelligence in nursing. Cureus, Published online May 5

  • It may state two separate claims as one.

    Interpretationcitation

    Participants emphasized a cautious approach to AI implementation, aligning with research on addressing data security and privacy concerns.

    “Participants' emphasis on a cautious approach to AI implementation aligns with research that underscores the imperative of addressing concerns surrounding data security and privacy in the context of AI integration [58].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [58] Hassan, 2022, 7 Healthcare staff perceptions on using artificial intelligence predictive tools: a qualitative study

  • It may state two separate claims as one.

    Interpretationcitation

    Participants accentuated a symbiotic partnership between nursing professionals and AI, with AI enhancing nursing practice while preserving the unique human touch, echoing research on AI as a supportive tool.

    “Regarding this, the participants' accentuation of the symbiotic partnership between nursing professionals and AI, with AI enhancing nursing practice while preserving the unique human touch, echoes research discussing AI as a supportive tool that supplements, rather than supplants, the role of healthcare providers [67].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [67] Ahmad, 2022, Artificial intelligence for nursing practice and management: current and potential research and education, Comput. Inf. Nurs.

  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one. The quote only partly states this claim.

    Interpretationcitation

    Participants supported tailoring individualized treatment plans through AI guidance, corresponding with studies on personalized medicine and its impact on patient well-being.

    “The concept of tailoring individualized treatment plans through AI guidance corresponds with studies delving into personalized medicine and its anticipated impact on patient well-being [62,63].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [62] Hacking, 2022, Text mining in long-term care: exploring the usefulness of artificial intelligence in a nursing home setting, PLoS One source
    • cites [63] Abuzaid, 2022, Integration of artificial intelligence into nursing practice, Health Technol. source

  • It may state two separate claims as one.

    Interpretationcitation

    Participants were enthusiastic about AI's predictive potential for identifying patient deteriorations, resonating with research on AI's ability to analyze intricate datasets and offer timely insights.

    “Similarly, the participants' enthusiasm for AI's predictive potential in identifying patient deteriorations finds resonance with existing research highlighting AI's ability to analyze intricate datasets and offer timely insights [61].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [61] Yoo, 2023, Healthcare professionals' expectations of medical artificial intelligence and strategies for its clinical implementation: a qualitative study, Healthc Inform Res source

  • It may state two separate claims as one.

    Interpretationcitation

    Participants were dedicated to delivering compassionate care in the face of technological advancements, aligning with studies advocating AI integration with patient-centered values.

    “Their unwavering dedication to delivering compassionate care in the face of technological advancements aligns with studies advocating for the integration of AI in alignment with patient-centered values [68].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [68] Ergin, 2022, Artificial intelligence and robot nurses: from nurse managers' perspective: a descriptive cross‐sectional study, J. Nurs. Manag. source

  • It may state two separate claims as one.

    Interpretationcitation

    Participants acknowledged the necessity for comprehensive training and continuous skill enhancement in AI integration, harmonious with research on nursing education's role in harnessing AI.

    “Moreover, the participants' acknowledgment of the necessity for comprehensive training and continuous skill enhancement in AI integration is harmonious with research emphasizing the pivotal role of nursing education in effectively harnessing AI technologies [54].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [54] Petersson, 2022, Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden, BMC Health Serv. Res. source

  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.

    Interpretationreasoning

    With careful planning, education, and collaboration, AI can become a valuable tool in the hands of nursing professionals, ultimately improving healthcare delivery and patient outcomes.

    “With careful planning, education, and collaboration, AI can become a valuable tool in the hands of nursing professionals, ultimately improving healthcare delivery and patient outcomes.”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim.

    Study design and conductnone given

    The use of interviews and thematic analysis provided rich data for a comprehensive understanding of the subject.

    “The use of interviews and thematic analysis provided rich data for a comprehensive understanding of the subject.”
    Quote in the paperSubstantial claim

  • Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Interpretationreasoning

    As AI technologies continue to advance, nursing care stands on the brink of a transformative era.

    “As AI technologies continue to advance, nursing care stands on the brink of a transformative era.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: AI technologies will continue to advance.

  • It may state two separate claims as one.

    Interpretationown data

    AI is not a threat to nursing but rather an opportunity for growth and enhanced care delivery.

    “This study concludes that AI is not a threat to nursing but rather an opportunity for growth and enhanced care delivery.”
    Quote in the paperSubstantial claim

  • It may state two separate claims as one.

    Interpretationreasoning

    This study indicates a growing acceptance of AI in nursing care and a paradigm shift in healthcare delivery.

    “Firstly, it underscores the growing acceptance of AI in nursing care, indicating a paradigm shift in healthcare delivery.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The positive attitudes of the study participants reflect a growing acceptance of AI among nursing professionals generally.

  • It may state two separate claims as one.

    Interpretationcitation

    Participants emphasized nurturing patient-nurse relationships amidst AI integration, corresponding with research that AI enhances rather than replaces these human connections.

    “The participants' emphasis on nurturing patient-nurse relationships amidst AI integration corresponds with research that underscores AI's role in enhancing, rather than replacing, these human connections [58].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [58] Hassan, 2022, 7 Healthcare staff perceptions on using artificial intelligence predictive tools: a qualitative study

  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given

    The study's sample size may not represent the diversity of nursing professionals' perspectives.

    “Firstly, the study's sample size may not represent the diversity of nursing professionals' perspectives.”
    Quote in the paperNot a substantial claim

  • It may state two separate claims as one.

    Interpretationcitation

    Participants were committed to ethical and responsible AI utilization, resonating with findings on addressing ethical and legal ramifications in AI integration.

    “In terms of this, the participants' unwavering commitment to ethical and responsible AI utilization resonates with findings from studies highlighting the significance of addressing ethical and legal ramifications in the integration of AI [40].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [40] Van Der Gaag, 2023, Artificial intelligence in health professions regulation: an exploratory qualitative study of nurse regulators in three urisdictions, Journal of Nursing Regulation source

  • It may state two separate claims as one.

    Interpretationcitation

    Participants were resolutely determined to harness potential benefits of AI, in sync with research emphasizing AI's transformative potential in healthcare.

    “Their resolute determination to harness the potential benefits of AI is in sync with research emphasizing AI's transformative potential within the realm of healthcare [71].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [71] Dong, 2021, Medical information mining-based visual artificial intelligence emergency nursing management system. Rajakani K, Journal of Healthcare Engineering

  • It may state two separate claims as one.

    Interpretationcitation

    Participants acknowledged obstacles and the necessity for collective efforts to overcome these challenges, aligning with studies on hurdles of AI implementation and cultivating innovative organizational culture.

    “In addition to that, the participants' acknowledgment of obstacles and the necessity for collective efforts to overcome these challenges aligns with studies that delve into the hurdles of AI implementation and advocate for cultivating an innovative organizational culture [19].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [19] Al Kuwaiti, 2023, A review of the role of artificial intelligence in healthcare, J. Phys. Math.

  • It may state two separate claims as one.

    Interpretationcitation

    Participants were ready to embrace novel technologies and challenge traditional norms, mirroring research advocating active nursing involvement in shaping future healthcare.

    “Their readiness to embrace novel technologies and challenge traditional norms mirrors research advocating for active nursing involvement in shaping the future of healthcare [73].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [73] Ergin, 2023, Can artificial intelligence and robotic nurses replace operating room nurses? The quasi-experimental research, J Robotic Surg source

  • It may state two separate claims as one.

    Interpretationcitation

    Participants had a forward-looking perspective on AI integration, resonating with studies on AI's transformative potential in shaping nursing practice.

    “Furthermore, the participants' forward-looking perspective on AI integration resonates with studies discussing AI's transformative potential in shaping the trajectory of nursing practice [41].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [41] Jordan, 2023, The impact of cultural embeddedness on the implementation of an artificial intelligence program at triage: a qualitative study, J. Transcult. Nurs. source

  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Study design and conductnone given

    The study focused on the perspectives of nursing professionals and did not include the viewpoints of patients and AI developers.

    “Secondly, the study focused on the perspectives of nursing professionals, but it did not include the viewpoints of patients and AI developers.”
    Quote in the paperNot a substantial claim

  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning

    The future of nursing care is a dynamic amalgamation of human expertise and AI, a synergy that has the potential to redefine healthcare.

    “The future of nursing care is a dynamic amalgamation of human expertise and AI, a synergy that has the potential to redefine healthcare.”
    Quote in the paperNot a substantial claim

  • It may state two separate claims as one.

    Interpretationcitation

    Participants advocated for patient rights and privacy, aligning with research underscoring nurses' accountability in ethical AI integration.

    “Their advocacy for patient rights and privacy aligns with research underscoring nurses' accountability in ensuring the ethical integration of AI [70].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [70] Taskiran, 2023, Effect of artificial intelligence course in nursing on students' medical artificial intelligence readiness: a comparative quasi-experimental study, Nurse Educat. source

  • Probably not a substantial claim.

    Study design and conductreasoning

    The study's qualitative approach allowed for in-depth exploration of nursing professionals' perspectives.

    “One strength of this study is its qualitative approach, which allowed for in-depth exploration of nursing professionals' perspectives.”
    Quote in the paperSubstantial claim
69 of 69

  • The paper relies on this without support.

    A gap exists in qualitative research focusing on the perspectives of nursing professionals regarding AI integration.

    “However, despite the evident enthusiasm for AI in healthcare, a gap exists in qualitative research focusing on the perspectives of nursing professionals.”

  • The paper relies on this without support.

    AI technologies will continue to advance.

    “As AI technologies continue to advance, nursing care stands on the brink of a transformative era.”

  • The paper relies on this without support.

    The positive attitudes of the study participants reflect a growing acceptance of AI among nursing professionals generally.

    “Firstly, it underscores the growing acceptance of AI in nursing care, indicating a paradigm shift in healthcare delivery.”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Ethics approval date follows participant recruitment

    Major

    The stated approval information includes September 11, 2023, whereas recruitment ran from April 7 to May 4, 2023. This conflicts with the statement that ethics requirements, including approval, were adhered to at all stages.

  • Participant 23's sex differs between the table and quotations

    Minor

    Table 1 identifies Participant 23 as female, but the results identify the same participant as male.

2 of 2

Citations

Cites

1 retracted

Flagged first, then by citations

1 of the 76 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. Chen, 2022, vol. 2022, 1

Cited by

Sorted by citations

Related

Metadata

Authors
Rony, M. K. K., Kayesh, I., Bala, S. D., Akter, F., & Parvin, M. R.
Affiliations
  • University of Dhaka (BD)
  • International University of Business Agriculture and Technology (BD)
  • Shahjalal University of Science and Technology (BD)
Corresponding author
Rony, Moustaq Karim Khan
ORCID
Venue
Heliyon
Publisher
Elsevier BV
Published
2024-02
Volume
10
Issue
4
Pages
e25718
ISSN
2405-8440 (ISSN-L)
DOI
10.1016/j.heliyon.2024.e25718
PMC
PMC10869862
OpenAlex
W4391650202
Semantic Scholar
d6e7ae833fcda793f8d280599ec606bd6bc032a3
Cited by
190
References
76
Citations by year
2026: 65 · 2025: 101 · 2024: 24
FWCI
17.66
Type
journal article
Language
en
Open access
Licence
Locations
  • Heliyon (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Greater South Information System
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Health Sciences › Nursing › Research and Theory › Nursing Diagnosis and Documentation
Keywords
artificial intelligence in nursing, nursing professionals' perceptions, AI readiness, human-technology collaboration, nursing workflow, implementation barriers, nurse-patient relationship, patient-centered care

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-09, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-09 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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