Evidence map›Paper›PMID 39281626›Full record

ArticleHeliyon2024

Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare.

Moustaq Karim Khan Rony, Sharker Md Numan, Khadiza Akter, Hasanuzzaman Tushar, Mitun Debnath, Fateha Tuj Johra, Fazila Akter, Sujit Mondal, Mousumi Das, Muhammad Join Uddin and 2 more

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In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

12 authors.

Moustaq Karim Khan RonyMaster of Public Health, Bangladesh Open University, Gazipur, Bangladesh.
Sharker Md NumanSchool of Science and Technology, Bangladesh Open University, Gazipur, Bangladesh.
Khadiza AkterMaster of Public Health, Daffodil International University, Dhaka, Bangladesh.
Hasanuzzaman TusharDepartment of Business Administration, International University of Business Agriculture and Technology, Dhaka, Bangladesh.
Mitun DebnathMaster of Public Health, National Institute of Preventive and Social Medicine, Dhaka, Bangladesh.
Fateha Tuj JohraMasters in Disaster Management, University of Dhaka, Dhaka, Bangladesh.
Fazila AkterDhaka Nursing College, Affiliated with the University of Dhaka, Bangladesh.
Sujit MondalMaster of Science in Nursing, National Institute of Advanced Nursing Education and Research Mugda, Dhaka, Bangladesh.
Mousumi DasMaster of Public Health, Leading University, Sylhet, Bangladesh.
Muhammad Join UddinMaster of Public Health, RTM Al-Kabir Technical University, Sylhet, Bangladesh.
Jeni BegumMaster of Public Health, Leading University, Sylhet, Bangladesh.
Mst Rina ParvinSchool of Medical Sciences, Shahjalal University of Science and Technology, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the increasing integration of artificial intelligence (AI) technologies into healthcare systems, there is a growing emphasis on privacy and ethical considerations. Nurses, as frontline healthcare professionals, are pivotal in-patient care and offer valuable insights into the ethical implications of AI adoption. Objectives: This study aimed to explore nurses' perspectives on privacy and ethical concerns associated with the implementation of AI in healthcare settings. Methods: We employed Van Manen's hermeneutic phenomenology as the qualitative research approach. Data were collected through purposive sampling from the December 7, 2023 to the January 15, 2024, with interviews conducted in Bengali. Thematic analysis was utilized following member checking and an audit trail. Results: Six themes emerged from the research findings: Ethical dimensions of AI integration, highlighting complexities in incorporating AI ethically; Privacy challenges in healthcare AI, revealing concerns about data security and confidentiality; Balancing innovation and ethical practice, indicating a need to reconcile technological advancements with ethical considerations; Human touch vs. technological progress, underscoring tensions between automation and personalized care; Patient-centered care in the AI era, emphasizing the importance of maintaining focus on patients amidst technological advancements; and Ethical preparedness and education, suggesting a need for enhanced training and education on ethical AI use in healthcare. Conclusions: The findings underscore the importance of addressing privacy and ethical concerns in AI healthcare development. Nurses advocate for patient-centered approaches and collaborate with policymakers and tech developers to ensure responsible AI adoption. Further research is imperative for mitigating ethical challenges and promoting ethical AI in healthcare practice.

Indexed as

Artificial intelligenceEthical concernsHealthcareNursesPrivacy

Identifiers

PMID39281626
PMCPMC11400963

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.