Evidence map›Paper›PMID 39628063›Full record

ArticleJournal of clinical nursing2026

Perspectives of Patients Regarding Artificial Intelligence and Its Application in Healthcare: A Qualitative Study.

Alma Tursynbek, Dilnaz Zhaksylykova, Jonas Preposi Cruz, Ejercito Mangawa Balay-Odao

Abstract read
In one paragraph

Article in Journal of clinical nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. The patient matters: a roundtable discussion on pathology in the era of digitization and AI.Virchows Archiv : an international journal of pathology · 2026
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Artificial Intelligence in Medical Care - Patients' Perceptions on Caregiving Relationships and Ethics: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  14. Article
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

4 authors.

Alma TursynbekDepartment of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana, Kazakhstan.
Dilnaz ZhaksylykovaDepartment of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan.ORCID https://orcid.org/0009-0008-4870-0555
Jonas Preposi CruzDepartment of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan.ORCID https://orcid.org/0000-0002-3758-1414
Ejercito Mangawa Balay-OdaoDepartment of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan.ORCID https://orcid.org/0009-0001-6128-3070

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence integration into healthcare has gained significant attention in recent years, with its use ranging from disease diagnosis to surgical assistance. While artificial intelligence's potential to improve patient outcomes and optimise patient care is undeniable, concerns regarding privacy, transparency, and the potential for medical errors persist. To take full advantage of artificial intelligence's transformative abilities, understanding patient perceptions and attitudes towards its integration into medicine is crucial for ethical considerations and health outcomes. PURPOSE: This study aimed to describe patients' perceptions of medical artificial intelligence and its integration into the healthcare system, drawing attention to a crucial yet understudied aspect of artificial intelligence adoption in Kazakhstan.

designDescriptive qualitative design.

methodFrom February to March 2024, the researchers conducted semi-structured interviews amongst 13 patients. The interviews were audio-recorded, transcribed, translated, and then analysed using a thematic analysis approach. The study adhered to the COREQ guidelines.

resultFive themes emerged from 13 interviews: the benefits of artificial intelligence on patient care, the importance of human factors on patient care over artificial intelligence, revolutionising patient care delivery through artificial intelligence, patient education and artificial intelligence, and balancing technology and human interaction in artificial intelligence-driven intervention.

conclusionPatient perceptions of artificial intelligence integration into healthcare were primarily positive. Nevertheless, patients prefer artificial intelligence as a supplementary tool under human supervision due to risks such as possible medical errors and violations of patient privacy. PATIENT OR PUBLIC CONTRIBUTION: Patients provided the data for this study. The researchers interviewed them about their perceptions of medical artificial intelligence and its integration into the healthcare system. The patients or the public contributed nothing to the other aspects of the study.

Indexed as

Artificial IntelligenceDelivery of Health CareAdultAgedFemaleHumansMaleMiddle AgedQualitative Researchartificial intelligenceethicsKazakhstanpatientsperception

Identifiers

PMID39628063
PMCPMC13569257

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.