ArticleJMIR formative research2024
ChatGPT Use Among Pediatric Health Care Providers: Cross-Sectional Survey Study.
Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Clinical Readiness of Artificial Intelligence Models for MB2 Canal Detection in Maxillary Molars: A Scoping Review.International dental journal · 2026Article
- Building Clinical Artificial Intelligence at the PICU Bedside: Recognizing the Clinician-Builder.Critical care explorations · 2026Article
- LLM research on public biosignals data is needed to protect patients.NPJ digital medicine · 2026Review
- Fact-Checking Large Language Model Responses to a Health Care Prompt: Comparative Study.JMIR formative research · 2026Article
- Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study.JMIR biomedical engineering · 2026Article
- Evaluation of GPT-5 in Periodontitis Staging and Grading: Retrospective Observational Study.JMIR formative research · 2026Observational
- Evaluating the accuracy of ChatGPT model versions for giving care-seeking advice.Communications medicine · 2026Article
- An Exploratory Evaluation of GPT-5 in Periodontitis Staging and Grading Using Published Clinical Cases.Research square · 2026Article
- Evaluation of GPT-5.2 for melanoma detection across skin tones.Frontiers in medicine · 2026Article
- Meeting clinicians where they are through signal-guided AI innovation.BMJ digital health & AI · 2026Article
- Applications of Chatbots in Improving Patient Care Outcomes:Sultan Qaboos University medical journal · 2026Article
- Quality assessment of large language model-generated prior authorization letters in nephrology.Frontiers in digital health · 2026Article
- A typology of physician input approaches to using AI chatbots for clinical decision-making.NPJ digital medicine · 2025Article
- New chapter in pediatric medicine: technological evolution, application, and evaluation system of large language models.European journal of pediatrics · 2025Review
- Evaluating GPT-5 for Melanoma Detection Using Dermoscopic Images.Diagnostics (Basel, Switzerland) · 2025Article
- Artificial Intelligence in Dentistry: A Descriptive Review.Bioengineering (Basel, Switzerland) · 2024Review
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe public launch of OpenAI's ChatGPT platform generated immediate interest in the use of large language models (LLMs). Health care institutions are now grappling with establishing policies and guidelines for the use of these technologies, yet little is known about how health care providers view LLMs in medical settings. Moreover, there are no studies assessing how pediatric providers are adopting these readily accessible tools.
objectiveThe aim of this study was to determine how pediatric providers are currently using LLMs in their work as well as their interest in using a Health Insurance Portability and Accountability Act (HIPAA)-compliant version of ChatGPT in the future.
methodsA survey instrument consisting of structured and unstructured questions was iteratively developed by a team of informaticians from various pediatric specialties. The survey was sent via Research Electronic Data Capture (REDCap) to all Boston Children's Hospital pediatric providers. Participation was voluntary and uncompensated, and all survey responses were anonymous.
resultsSurveys were completed by 390 pediatric providers. Approximately 50% (197/390) of respondents had used an LLM; of these, almost 75% (142/197) were already using an LLM for nonclinical work and 27% (52/195) for clinical work. Providers detailed the various ways they are currently using an LLM in their clinical and nonclinical work. Only 29% (n=105) of 362 respondents indicated that ChatGPT should be used for patient care in its present state; however, 73.8% (273/368) reported they would use a HIPAA-compliant version of ChatGPT if one were available. Providers' proposed future uses of LLMs in health care are described.
conclusionsDespite significant concerns and barriers to LLM use in health care, pediatric providers are already using LLMs at work. This study will give policy makers needed information about how providers are using LLMs clinically.
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