Evidence map›Paper›PMID 40654175›Full record

ArticleJournal of clinical nursing2026

The Usability and Experience of Artificial Intelligence-Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review.

Kun Li, Siyuan Wu, Ying Zhang, Binbin Zhu, Ziyi Qi, Sijia Hou, Wei Wang

Abstract readScoping Review
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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Review
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  6. Review
  7. Review
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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

7 authors.

Kun LiDepartment of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0009-0008-4061-9824
Siyuan WuDepartment of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0001-8898-2667
Ying ZhangDepartment of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-3182-2758
Binbin ZhuDepartment of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ziyi QiDepartment of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0003-2731-5953
Sijia HouDepartment of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0009-0003-6359-810X
Wei WangDepartment of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0003-1468-2746

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence-based conversational agents (CAs) have shown transformative potential in healthcare, yet their application in cancer health education has remained underexplored, particularly regarding usability and patients' experiences. Existing reviews lack a dedicated focus on user perspectives, limiting insights into how CAs can be optimised for patient needs.

aimTo explore the usability and experience of artificial intelligence-based conversational agents in health education for cancer from the user perspective.

designA scoping review was conducted with the Joanna Briggs Institute Scoping Reviews conduct guidance and reported according to the preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews checklist.

methodsA search was performed in PubMed, Embase, CINAHL, Web of Science, PsycINFO, IEEE Xplore Digital Library and ACM Digital Library from their inception to March 6, 2024. The references to the articles included were also searched. The Pillar Integration Process was employed to chart data.

resultsA total of 12 studies were included in this scoping review, which revealed that CAs supported diverse educational contexts, including cancer-related knowledge (41.7%), pretest genetics (33.3%), self-management (16.7%) and psychological skills (8.3%). Three studies reported that patients preferred interactions with multiple options or 'read more' functions. Patients were generally optimistic about the CAs and reported that CAs provided informational, physical, and psychological support for them. However, limitations such as insufficient customisation, lack of empathy, and defects in understanding free-input questions were noted.

conclusionThis review demonstrated that CAs are promising complementary tools in cancer education, alleviating healthcare burdens while enhancing patient engagement, which was particularly critical in resource-limited settings. However, clinical implementation requires more rigorous validation of safety protocols and high-quality original studies. RELEVANCE TO CLINICAL PRACTICE: Nurses and policymakers should consider CAs valuable tools to enhance cancer health education, provided that they align with patient needs and institutional safety standards.

Indexed as

Artificial IntelligenceCommunicationHealth EducationNeoplasmsPatient Education as TopicHumansartificial intelligencecancerchatbotsconversational agentshealthcarehealth educationscoping review

Identifiers

PMID40654175
PMCPMC13569306

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.