Evidence map›Paper›PMID 42359449›Full record

ArticleFrontiers in digital health2026

ChatGPT in healthcare: perceptions, ethical considerations, and practice implications among healthcare professionals in Ecuador and other countries in the Americas: a cross-sectional survey study.

Ivan Cherrez-Ojeda, Juan Carlos Gallardo-Bastidas, Marco Faytong-Haro, Freya Andrade Vera, Wael Hafez, Zouina Sarfraz, Azza Sarfraz, Juan Carlos Calderón, Karla Robles-Velasco, Johannes Eschrich

Abstract read
In one paragraph

Article in Frontiers in digital health, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

Who cites it

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

10 authors.

Ivan Cherrez-OjedaInstitute for Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Juan Carlos Gallardo-BastidasSchool of Dentistry, Universidad Católica Santiago de Guayaquil, Guayaquil, Ecuador.
Marco Faytong-HaroRespiralab Research Group, Guayaquil, Ecuador.
Freya Andrade VeraUniversidad Laica Eloy Alfaro de Manabí, Manta, Ecuador.
Wael HafezNMC Royal Hospital, Khalifa City, Abu Dhabi, United Arab Emirates.
Zouina SarfrazDepartment of Medicine, Fatima Jinnah Medical University, Lahore, Pakistan.
Azza SarfrazDepartment of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Juan Carlos CalderónUniversidad Espiritu Santo, Samborondon, Ecuador.
Karla Robles-VelascoUniversidad Espiritu Santo, Samborondon, Ecuador.
Johannes EschrichDepartment of Hepatology and Gastroenterology, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Generative artificial intelligence tools, such as ChatGPT, are increasingly discussed in healthcare; however, evidence from Latin American professional settings is limited and must be interpreted in light of regional digital inequities and ethical concerns. Objective: To examine awareness, ethical perceptions, usage patterns, and attitude determinants related to ChatGPT among HCPs practicing mainly in Ecuador and other countries in the Americas. Methods: We conducted a cross-sectional online survey between May and September 2023. Recruitment was conducted using professional networks, institutions, conferences, and social media. Descriptive analyses were performed for the entire sample. Ethical and usefulness analyses were restricted to respondents with at least minimal knowledge of ChatGPT ( Results: Of the 747 respondents, 610 (81.66%) practiced in Ecuador, 281 (37.62%) were physicians, 203 (27.18%) were dentists, and 42 (5.62%) were nurses or allied health professionals. Overall, 424 (56.76%) had heard of ChatGPT, 239 (31.99%) had ever used it, and 323 (43.24%) reported no knowledge of it. Among respondents with at least minimal familiarity, 311/394 (78.93%) agreed that ChatGPT could be beneficial in healthcare settings, 256/389 (65.81%) considered it trustworthy for healthcare information, and 286/391 (73.15%) considered it useful for specific medical questions. Ethical judgments were mixed: 179/395 (45.32%) were neutral about language revision in a scientific manuscript, 189/395 (47.85%) considered AI-generated manuscript text unethical, and 268/395 (67.85%) considered sole-source clinical use unethical. Among prior users, the most common uses were homework or academic support (134/239, 56.07%), research writing support (117/239, 48.95%), and medical or healthcare education and training (55/239, 23.01%). Higher knowledge and ethical acceptance scores were independently associated with more favorable attitudes. Ethical acceptance predicted stronger agreement that ChatGPT could be beneficial in healthcare settings ( Conclusions: Healthcare professionals in this sample showed cautious optimism toward ChatGPT, but awareness remained moderate, use was limited, and ethical reservations were substantial. Structured, context-specific training and more regionally representative studies are needed before large-scale integration can be recommended.

Indexed as

artificial intelligenceChatGPTdigital healthethicshealthcare professionalsLatin Americaprofessional attitudes

Identifiers

PMID42359449
PMCPMC13290568

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LicenceCC BY
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Registered trials

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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.