Miller School of Medicine’s AI Chatbot Toolkit Gains National Recognition by AAMC
Summary
- An AI Chatbot toolkit developed by three University of Miami Miller School of Medicine students is being featured in the Association of American Medical College’s (AAMC) Advancing AI Across Academic Medicine Resource Collection.
- The resource helps medical students leverage generative AI tools like ChatGPT, Claude and Gemini during their clinical rotations.
- The Miller School is at the forefront of incorporating AI into its medical education, with first-year students exploring the limits of machines and the value of human judgment and faculty and students are engaged in AI research across specialties, from radiology to cardiology.
An AI chatbot toolkit developed by three University of Miami Miller School of Medicine students is featured in the Association of American Medical College’s (AAMC) Advancing AI Across Academic Medicine Resource Collection, a national platform for best practices in AI integration.
Created by students Ryan Chen, Nadine Javier and Constance Chen in collaboration with Gauri Agarwal, M.D., associate professor of clinical medicine and associate dean for curriculum at the Miller School, this innovative resource helps medical students leverage and navigate generative AI tools like ChatGPT, Claude and Gemini during their clinical rotations.
“Medical students have many responsibilities during their general clerkships, and it can be tough to find efficient routines while navigating new environments in the clinic and on the ward,” said Chen. “AI chatbots are easily accessible tools with vast capabilities, but sometimes this open-endedness can be daunting for students to take advantage of. We created this AI toolkit to help medical students leverage AI chatbots to make this complicated and busy part of medical school a little bit easier.”
AI Toolkit Organized for Medical Students
The toolkit is organized into six key sections, with corresponding AI use cases:
• Wellness: Creating short resilience or mindfulness exercises for stress relief and generating journaling templates for daily reflection and self-care.
• Scheduling: Building morning and bedtime routines to promote healthy sleep habits.
• Studying: Compiling study plans and checklists for USMLE and NBME exams and requesting exam strategy coaching for time management and prioritization.
• Clerkship preparation: Summarizing procedures and reviewing common diagnoses and emergency conditions for clinics or wards.
• Goal setting: Developing SMART goals (Specific, Measurable, Attainable, Relevant, Time-bound) for rotations or personal growth.
• Other: Exporting schedules to digital calendars and setting phone reminders for assignments and deadlines.
Why Is the AI Toolkit Needed?
Medical students face unique challenges: adapting to new clinical environments, managing heavy workloads and preparing for high-stakes exams. While AI is transforming health care and education, most students have not received formal training in prompt engineering or effective AI use.
The toolkit bridges this gap by making technology accessible and relevant for everyday tasks, promoting mindfulness and stress management, streamlining schedules and assignments, developing AI-powered study plans and encouraging students to set and achieve goals. It emphasizes responsible AI use, reminding students that chatbots are not substitutes for professional medical advice.
“Our students, as always, are leading the way with innovative ways to harness AI for their own education,” said Dr. Agarwal. “There are few such resources for clerkship students and we hope it’s valuable for medical students around the country.”
Leading the Way in AI Education and Innovation
The AAMC’s Advancing AI Across Academic Medicine Resource Collection is a national repository of timely, freely accessible resources for medical schools, academic health systems and teaching hospitals. The Miller School’s AI chatbot toolkit was selected for inclusion due to its innovative, student-driven approach and its alignment with the AAMC’s mission to advance responsible AI in medical education.
The AI toolkit is yet another example of the Miller School integrating AI into medical education and clinical care. In 2025, the Miller School created an AI office to train students in the ethical and thoughtful use of AI, empower faculty with integration strategies and drive innovation in AI-enhanced learning.
First-year students begin their AI training with a humanities class, exploring the limits of machines and the value of human judgment and faculty and students are engaged in AI research across specialties, from radiology to cardiology, with a focus on ethical deployment, bias reduction and improved patient outcomes. Miller School faculty, including Dr. Agarwal, contribute to national conversations on AI ethics, curriculum development and responsible innovation.
Tags: AI, artificial intelligence, Department of Medical Education, Dr. Gauri Agarwal, medical education, medical students, student research, technology