Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: This exploratory study examines the use of the AI tool ChatGPT in improving survey development. The study evaluates AI's ability to ensure validity and optimize wording, providing a potential new tool in survey creation.

Methods: Two surveys related to anti-racism in medical education were developed and imputed into ChatGPT to request validation, clarification, and suggestions on wording.

Results: ChatGPT provided quick and extensive output, correctly identifying each survey's goals and suggesting improvements. Target group validation provided specific contextual feedback, emphasizing the value of focus groups in addition to AI models in survey development.

Conclusion: While ChatGPT offered quick suggestions, its lack of contextual understanding highlighted the complementary nature of both AI and human input in survey development.

Download full-text PDF

Source

Publication Analysis

Top Keywords

survey development
12
tool survey
8
survey
5
chatgpt-a tool
4
development background
4
background exploratory
4
exploratory study
4
study examines
4
examines tool
4
chatgpt
4

Similar Publications

Principles of Industry-Academic Partnerships Informed by Digital Mental Health Collaboration: Mixed Methods Study.

JMIR Ment Health

September 2025

National Institute of Health and Care Research MindTech HealthTech Research Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.

Background: Cross-sector collaboration is increasingly recognized as essential for addressing complex health challenges, including those in mental health. Industry-academic partnerships play a vital role in advancing research and developing health solutions, yet differing priorities and perspectives can make collaboration complex.

Objective: This study aimed to identify key principles to support effective industry-academic partnerships, from the perspective of industry partners, and develop this into actionable guidance, which can be applied across sectors.

View Article and Find Full Text PDF

Background: In Canada, the Indigenous population is the youngest and fastest growing, yet ongoing health disparities for Indigenous peoples are widely recognized. There is a concerning lack of research on childhood disabilities and health conditions in Indigenous populations in Canada. For children with disabilities and chronic health conditions, ongoing access to rehabilitation services, such as occupational therapy, physical therapy, speech-language pathology, and audiology, is critical in promoting positive health and developmental outcomes.

View Article and Find Full Text PDF

Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.

View Article and Find Full Text PDF

Background: Breast cancer is the most common cancer among women and a leading cause of mortality in Europe. Early detection through screening reduces mortality, yet participation in mammography-based programs remains suboptimal due to discomfort, radiation exposure, and accessibility issues. Thermography, particularly when driven by artificial intelligence (AI), is being explored as a noninvasive, radiation-free alternative.

View Article and Find Full Text PDF

Background: The COVID-19 pandemic has devastated economies and strained health care systems worldwide. Vaccination is crucial for outbreak control, but disparities persist between and within countries. In Taiwan, certain indigenous regions show lower vaccination rates, prompting comprehensive inquiries.

View Article and Find Full Text PDF