Evidence map›Paper›PMID 40424195›Full record

ArticleInternational nursing review2025

Perspectives of physicians, nurses, and patients on the use of artificial intelligence and robotic nurses in healthcare.

Emel Gumus, Handan Alan

Abstract read
In one paragraph

Article in International nursing review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Emel GumusDepartment of Health Management, Faculty of Economics, Administrative and Social Sciences, Istinye University, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-3313-6831
Handan AlanDepartment of Nursing Administration, Florence Nightingale Faculty of Nursing, Istanbul University-Cerrahpaşa, Istanbul, Turkey.ORCID https://orcid.org/0000-0001-7414-2288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to assess the perspectives of physicians, nurses, and patients in Turkey regarding the integration of artificial intelligence (AI) and robotic nurses in healthcare settings while exploring their attitudes toward the use of robots in healthcare delivery.

backgroundAI and robotic nurses are increasingly shaping healthcare delivery and influencing clinical decision-making processes. However, research examining the impact of AI and robotic nurses on nursing practice and patient care remains limited. The attitudes of healthcare professionals and patients are crucial factors for the successful integration and adoption of these technologies in clinical settings.

methodThis qualitative study employed in-depth individual interviews to explore participants' perspectives. The sample consisted of 13 physicians, 17 nurses, and 15 patients, all recruited from university hospitals, Ministry of Health hospitals, and private healthcare facilities across Turkey. Data were collected using two semistructured interview guides with "Healthcare Workersand Patients". Ethical approval and informed consent were obtained prior to data collection. The collected data were analyzed with content analysis using MAXQDA Pro 2021 software.

resultsThe qualitative findings were organized into four primary themes: "Impact of AI Technologies on Healthcare," "Use of AI and Robots," "Receiving Care from Humanoid Robots," and "Working with Humanoid Robots." These themes were further explored through 12 subthemes and corresponding codes. DISCUSSION: Participants who had not yet interacted directly with AI technologies and relied solely on literature or had limited knowledge about the process generally believed that AI and robotic nurses could positively affect healthcare. However, they expressed concerns regarding the inability of these technologies to replicate the human touch. They specifically highlighted the limitations of robots in areas requiring empathy, emotional connection, and personalized care. CONCLUSION AND IMPLICATIONS FOR NURSING AND/OR HEALTH POLICY: This study explored the perspectives of physicians, nurses, and patients regarding AI and robotic nurses, revealing both anticipated benefits and potential challenges for the healthcare system. The findings indicate the necessity for policies that address the ethical, social, and professional implications of AI and robotics, ensuring that their integration into healthcare practices is aligned with nursing and health policy objectives. It is crucial for international healthcare leaders to collaborate in developing policies that optimize the benefits of these technologies across diverse healthcare settings.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelNursing Staff, HospitalPhysiciansRoboticsAdultAgedDelivery of Health CareFemaleHumansMaleMiddle AgedQualitative ResearchTurkeyArtificial intelligencehealthcare servicesnursesrobotic nurses

Identifiers

PMID40424195
PMCPMC12110730

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.