Evidence map›Paper›PMID 39613444›Full record

ArticleBMJ open2024

Exploring the use of ChatGPT-4o in enhancing career development counseling for medical students: a study protocol.

Haitao Tang, Jinsong Wang, Qiang Liu, Ji Bao, Wen Zeng

Abstract read
In one paragraph

Article in BMJ open, 2024. 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

5 authors.

Haitao TangHealth Management Center, General Practice Medical Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-1507-7890
Jinsong WangDepartment of Rehabilitation Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Qiang LiuChengdu Longquanyi District Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Ji BaoDepartment of Pathology, Institute of Clinical Pathology, Key Laboratory of Transplant Engineering and Immunology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Wen ZengHealth Management Center, General Practice Medical Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China 1045147804@qq.com.ORCID 0000-0002-5795-6498

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe advent of pre-trained generative transformers, exemplified by ChatGPT, has significantly impacted medical education, catalysing a wealth of research focused on enhancing educational methodologies. Despite this, the application of ChatGPT in the specific area of career planning for medical students remains relatively unexplored. This study seeks to rigorously evaluate the potential of ChatGPT-4o in facilitating the career planning of medical students, comparing its effectiveness with that of traditional human educators. It also aims to identify optimal strategies for integrating ChatGPT-4o with human educators to maximise support in career planning for medical students.

methodsAdopting a mixed-methods approach, this research combines qualitative insights from interviews with quantitative data from questionnaires. The research is bifurcated into two primary segments: first, evaluating the proficiency of ChatGPT-4o in aiding medical students' career planning, and second, identifying effective collaborative practices between ChatGPT-4o and human educators. DISCUSSION: The study focuses on assessing ChatGPT-4o's utility in career planning for medical students and determining how it can be best used within medical education by both educators and students. The aim is to augment the career planning consultation process, thereby enhancing the efficiency and quality of human educators' contributions. This includes exploring how ChatGPT-4o can supplement traditional teaching methods, providing a more robust and comprehensive support system for career planning in medical education.

Indexed as

Career ChoiceStudents, MedicalCounselingEducation, Medical, UndergraduateHumansSurveys and QuestionnairesChinaHealth EducationInternetMEDICAL EDUCATION & TRAINING

Identifiers

PMID39613444
PMCPMC11605808

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.