Evidence map›Paper›PMID 41664015›Full record

ArticleBMC medical education2026

Artificial intelligence, robotics, and person-centered care in nursing and midwifery education: qualitative study to develop an augmented caring pedagogy model.

Tuba Sengul, Betül Uncu, Seda Sarıköse, Nurten Kaya, Violeta Lopez, Holly Kirkland-Kyhn

Abstract read
In one paragraph

Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Tuba SengulDepartment of Nursing, Koç University School of Nursing, Topkapı, Davutpaşa Street. No:4, Istanbul, 34010, Türkiye. tsengul@ku.edu.tr.ORCID http://orcid.org/0000-0002-6253-2016
Betül UncuFaculty of Health Science, Department of Midwifery, Istanbul University-Cerrahpasa, Istanbul, Türkiye.ORCID http://orcid.org/0000-0001-7691-6590
Seda SarıköseDepartment of Nursing, Koç University School of Nursing, Topkapı, Davutpaşa Street. No:4, Istanbul, 34010, Türkiye.ORCID http://orcid.org/0000-0003-0669-6451
Nurten KayaFaculty of Health Science, Department of Midwifery, Istanbul University-Cerrahpasa, Istanbul, Türkiye.ORCID http://orcid.org/0000-0003-0414-3589
Violeta LopezSchool of Nursing, Midwifery & Social Sciences, International Institute of Health Sciences, Rockhampton, Sri Lanka.ORCID http://orcid.org/0000-0001-8844-0331
Holly Kirkland-KyhnThe Betty Irene Moore School of Nursing at UC Davis, Sacramento, USA.ORCID http://orcid.org/0000-0002-9092-9088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid growth of AI and robotics is reshaping nursing and midwifery education, offering personalised and data-informed learning while raising ethical and relational challenges. These changes require educators to reassess their readiness and teaching approaches, highlighting the need to understand how faculty integrate AI into person-centred care. This study aimed to explore how nursing and midwifery educators perceive the role of artificial intelligence and robotics in person-centred care education and to generate empirical insights to inform the development of the Augmented Caring Pedagogy Model (ACPM).

methodsThis qualitative descriptive study was guided by the Normalization Process Theory. Four online semi-structured focus groups were conducted with 20 nursing and midwifery academics recruited from nine universities across Türkiye. Purposive sampling was used, and the data were analyzed using an integrated inductive–deductive thematic approach supported by MAXQDA 24.

resultsFour themes were identified: (1) Coherence: Making Sense of AI-and Robotics-Supported Person-Centred Care, (2) Cognitive Participation: Engaging with Technological Transformation, (3) Collective Action: Operationalizing and Sustaining AI Integration, and (4) Reflexive Monitoring: Learning Outcomes, Equity, and Ethical Responsibility in AI-Enhanced Education. Educators viewed artificial intelligence and robotics as enhancing learning and professional growth, while also raising concerns related to empathy, ethics, inequality, and technological dependence. These findings collectively informed the development of the ACPM.

conclusionIntegrating AI and robotics into nursing and midwifery education offers substantial potential to advance person-centred, evidence-based teaching, but it also introduces ethical, emotional, and structural complexities. The ACPM offers a novel pedagogical framework centred on human–technology synergy and a reflective adaptation cycle to support ethically grounded and sustainable integration of emerging technologies. Findings should be interpreted in light of the single-country context and the early stage of AI and robotics integration within educational practice.

Indexed as

Artificial IntelligenceEducation, NursingMidwiferyPatient-Centered CareRoboticsAdultEmpathyFemaleFocus GroupsHumansModels, EducationalQualitative ResearchArtificial intelligenceMidwifery educationNursing educationPerson-Centred careRobotics-Supported care

Identifiers

PMID41664015
PMCPMC12961857

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.