Evidence map›Paper›PMID 41251998›Full record

ReviewAdvances in experimental medicine and biology2026

Telenursing and Telehealth. Navigating the Digital Transformation in Healthcare and Ethical Challenges: A Narrative Review.

Ioannis Kouroutzis, Vasileios Tzenetidis, Ioanna V Papathanasiou, Dimitrios Mantzaris, Ioannis Apostolakis, Angeliki Chandrinou, Lefteris Gortzis, Pavlos Sarafis, Maria Malliarou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Ioannis KouroutzisHellenic Open University, Patras, Greece.
Vasileios TzenetidisLaboratory of Education and Research of Trauma Care and patient safety, Department of Nursing, University of Thessaly, Larissa, Greece.
Ioanna V PapathanasiouDepartment of Nursing, University of Thessaly, Larissa, Greece.
Dimitrios MantzarisDepartment of Nursing, University of Thessaly, Larissa, Greece.
Ioannis ApostolakisHellenic Open University, Patras, Greece.
Angeliki ChandrinouAthens Naval Hospital, Athens, Greece.
Lefteris GortzisDepartment of Medical Physics, School of Medicine, University of Patras, Patras, Greece.
Pavlos SarafisHellenic Open University, Patras, Greece.
Maria MalliarouHellenic Open University, Patras, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has reinforced the need for digital transformation in health, bringing about the development of national strategies, new possibilities, but also challenges. The use of digital technologies and artificial intelligence enables accurate and personalized healthcare, while telenursing can provide groundbreaking services that enable the improvement of the quality of healthcare and the efficient resource management remotely. THE

aimOf this literature review is to present how telenursing can transform the delivery of healthcare and what the ethical challenges by its implementation. METHODOLOGY: A narrative review was performed using key words of "telenursing" or "telehealth" and "ethical challenges" for free full text reviews published in PubMed, Web of Science, Scopus databases from 2004 to the present to encompass the most recent research findings, to summarize existing knowledge while focusing on answering the research question what are the ethical challenges that are presented by their implementation.

resultsSeveral ethical issues in telenursing, telehealth, telecare, and artificial intelligence include informed consent, patient privacy and confidentiality, data protection and security, malpractice and liability, equitable access, quality of care, and the professional-patient relationship.

conclusionsAs artificial intelligence will progressively, part of nurses' clinical practice in their telenursing or telehealth services provision, it is crucial to address ethical considerations related to privacy, transparency, patient autonomy, and health equity to care provided using AI-driven telenursing and telehealth services.

Indexed as

COVID-19Delivery of Health CareTelemedicineArtificial IntelligenceComputer SecurityConfidentialityHumansInformed ConsentPandemicsSARS-CoV-2Artificial intelligenceConfidentialityData protectionDigital transformationEthical challengesInformed consentPatient privacySecurityTelecareTelehealthTelenursing

Identifiers

PMID41251998

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.