Evidence map›Paper›PMID 37601325›Full record

ArticleJournal of multidisciplinary healthcare2023

Impact of ChatGPT on Teleconsultants in Healthcare: Perceptions of Healthcare Experts in Saudi Arabia.

Turki M Alanzi

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. Article
  8. ChatGPT in precision medicine.APL bioengineering · 2026
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Acceptability of Teleconsultation Services for HIV Care in Nigeria: A Mixed Methods Study.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2025
    Article
  14. Review
  15. Review
  16. Article
  17. Large language models and generative AI in telehealth: a responsible use lens.Journal of the American Medical Informatics Association : JAMIA · 2024
    Review
  18. Article
  19. Article
  20. Review
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

1 author.

Turki M AlanziHealth Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0001-6598-1274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to investigate the impact of ChatGPT on teleconsultants in managing their operations and services. Methods: A qualitative approach with focus groups is adopted in this study. A total of 54 participants with varying degrees of experience using AI such as ChatGPT in healthcare, including 11 physicians, 24 nurses, eight dieticians, six pharmacists, and five physiotherapists providing teleconsultations participated in this study. Results: Twelve themes including informational support, diagnostic assistance, communication, enhancing efficiency, cost and time saving, personalizing care, multilingual support, assisting in medical research, decision-making, documentation, continuing education, and enhanced team collaboration reflecting positive impact were identified from the data analysis of seven focus groups. In addition, six themes including misdiagnosis and errors, issues in personalized care, ethical and legal issues, limited medical context/knowledge, communication challenges, and increased dependency reflecting negative impact were identified. Conclusion: Although ChatGPT has several advantages for teleconsultants in the healthcare sector, it is associated with ethical issues.

Indexed as

AIartificial intelligenceChatGPTdecision-makinghealthcareinformationteleconsultants

Identifiers

PMID37601325
PMCPMC10438433

What OpenQuestion holds

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LicenceCC BY-NC
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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.