Case-based MCQ generator: A custom ChatGPT based on published prompts in the literature for automatic item generation

A fundamental challenge in medical education is creating high-quality, clinically relevant multiple-choice questions (MCQs). ChatGPT-based automatic item generation (AIG) methods need well-designed prompts. However, the use of these prompts is hindered by the time-consuming process of copying and pasting, a lack of know-how among medical teachers, and the generalist nature of standard ChatGPT, which often lacks the medical context. The Case-based MCQ Generator, a custom GPT, addresses these challenges. It has been trained by using GPT Builder, which is a platform designed by OpenAI for customizing ChatGPT to meet specific needs, in order to allow users to generate case-based MCQs. By using this free tool for those who have ChatGPT Plus subscription, health professions educators can easily select a prompt, input a learning objective or item-specific test point, and generate clinically relevant questions. It enhances the efficiency of MCQ generation and ensures the generation of contextually relevant questions, surpassing the capabilities of standard ChatGPT. It streamlines the MCQ creation process by integrating prompts published in medical education literature, eliminating the need for manual prompt input. Future development aims at sustainability and addressing ethical and accessibility issues. It requires regular updates, integration of new prompts from emerging health professions education literature, and a supportive digital ecosystem around the tool. Accessibility, especially for educators in low-resource countries, is vital, demanding alternative access models to overcome financial barriers.</p

ChatGPT to generate clinical vignettes for teaching and multiple-choice questions for assessment: A randomized controlled experiment

This study aimed to evaluate the real-life performance of clinical vignettes and multiple-choice questions generated by using ChatGPT. This was a randomized controlled study in an evidence-based medicine training program. We randomly assigned seventy-four medical students to two groups. The ChatGPT group received ill-defined cases generated by ChatGPT, while the control group received human-written cases. At the end of the training, they evaluated the cases by rating 10 statements using a Likert scale. They also answered 15 multiple-choice questions (MCQs) generated by ChatGPT. The case evaluations of the two groups were compared. Some psychometric characteristics (item difficulty and point-biserial correlations) of the test were also reported. None of the scores in 10 statements regarding the cases showed a significant difference between the ChatGPT group and the control group (p > .05). In the test, only six MCQs had acceptable levels (higher than 0.30) of point-biserial correlation, and five items could be considered acceptable in classroom settings. The results showed that the quality of the vignettes are comparable to those created by human authors, and some multiple-questions have acceptable psychometric characteristics. ChatGPT has potential in generating clinical vignettes for teaching and MCQs for assessment in medical education.</p

Clinical Record Keeping Education Needs in a Medical School and the Quality of Clinical Documentations

The research study examining clinical record keeping education in undergraduate medical programs at a university. It emphasizes the importance of high-quality medical records in healthcare delivery and outlines the lack of adequate education in this area. The study involved surveys and interviews with faculty members and students. Findings revealed deficiencies in record keeping education, with students learning through observation. The research aims to identify areas for improvement to enhance the quality of clinical records in the institution. The study's importance lies in addressing the deficiencies in clinical record keeping education in undergraduate medical programs. High-quality medical records are crucial for effective patient care, communication, research, and legal purposes. Improving education in this area ensures future healthcare professionals can maintain accurate, comprehensive, and useful clinical records, ultimately enhancing patient outcomes and healthcare system efficiency.</p