Evidence map›Paper›PMID 42919318›Full record

ArticleBMC health services research2026

Artificial intelligence in Vietnamese healthcare: public awareness, demand, and willingness to pay.

Tam Ngo Thi, Thanh Nguyen Hoang, Hoang Duc Hanh, Long Nguyen Hoang

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

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Tam Ngo ThiInstitute for Advanced Study in Technology, Faculty of Pharmacy, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
Thanh Nguyen HoangSchool of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam.
Hoang Duc HanhFaculty of Medicine, Dai Nam University, Hanoi, 100000, Vietnam.
Long Nguyen HoangInstitute for Advanced Study in Technology, Faculty of Pharmacy, Ton Duc Thang University, Ho Chi Minh City, Vietnam. nguyenhoanglong@tdtu.edu.vn.ORCID http://orcid.org/0009-0002-9541-7564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigated self-reported awareness, demand, and willingness to pay for artificial intelligence (AI)-supported healthcare services among Vietnamese adults.

methodsA cross-sectional online survey conducted across multiple regions of Vietnam was carried out from April to May 2025 using convenience and snowball sampling through social media, institutional mailing lists, and professional networks. A total of 3,550 valid responses were analyzed. Data on sociodemographic characteristics, chronic health conditions, health literacy, eHealth literacy, and perceptions of AI-supported healthcare services were collected using a structured questionnaire. Multivariable ordered logistic regression, binary logistic regression, and Tobit regression models were applied to identify factors associated with AI awareness, demand, and willingness to pay.

resultsAmong participants, 49.1% reported being somewhat aware of AI applications in healthcare, while 58.6% were willing or strongly willing to use AI-supported healthcare services. Emergency medical support (80.6%) and telehealth (55.0%) were the most preferred AI applications. However, 65.6% of respondents were unwilling to pay additional costs for AI-enhanced healthcare services. Among those willing to pay, the most commonly accepted additional cost ranged from 10% to 19%. Higher income, larger household size, and greater health literacy and eHealth literacy were associated with higher levels of AI awareness and demand. Cancer and respiratory disease were associated with higher reported awareness and demand for AI-supported healthcare, while cardiovascular disease and musculoskeletal disorders were associated with greater willingness to pay additional costs. AI awareness was also positively associated with AI demand.

conclusionParticipants in this survey demonstrated heterogeneous levels of AI awareness and relatively high self-reported willingness to use selected AI-assisted healthcare services, particularly for emergency support and telehealth. However, willingness to pay additional costs remained limited. These findings suggest potential public interest in AI-supported healthcare while highlighting the importance of affordability, health literacy, and equitable access in future implementation efforts.

Indexed as

Artificial IntelligenceHealth Knowledge, Attitudes, PracticeAdolescentAdultCross-Sectional StudiesDigital HealthFemaleHealth LiteracyHumansMaleMiddle AgedSurveys and QuestionnairesVietnamYoung AdultArtificial intelligenceDigital healtheHealth literacyHealthcarePublic perceptionWillingness to pay

Identifiers

PMID42919318

What OpenQuestion holds

Textmetadata
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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.