Clinical Nutrition and Adult Diet Therapy (Nutrition)
Universidad de Ciencias Médicas, Costa Rica
Team members
Karen Ibarra Cuevas and Rebeca Castillo Valverde from Universidad de Ciencias Médicas (UCIMED), San José, Costa Rica.
Programs/courses
Clinical Nutrition and Adult Diet Therapy (Nutrition)
How have you used Clinical Mind AI in your teaching or research?
During the second semester of 2025, the Faculty of the Nutrition program at Universidad de Ciencias Médicas (UCIMED) implemented a pilot integration of Clinical Mind AI as an innovative educational tool within the course Adult Diet Therapy. This initiative reflects the Faculty’s commitment to modernizing clinical education through digital simulation, artificial intelligence, and experiential learning, aligned with global trends in Digital Health and Telemedicine, in collaboration with Stanford-affiliated initiatives.
The primary goal was clear: to strengthen clinical reasoning, decision-making, and professional confidence in future nutritionists, all this within a safe, realistic, and flexible virtual environment.
The Learning Experience:
"Clinical Nutrition and Adult Diet Therapy" is a clinically oriented course focused on nutritional management of patients with acute and chronic conditions. Traditionally, it combines lectures, case discussions, and hands-on simulations in UCIMED’s Simulation Hospital. With the integration of Clinical Mind AI, students gained access to interactive virtual patients, allowing them to engage deeply with realistic clinical scenarios anytime and anywhere.
For this pilot, customized clinical cases were developed, including:
Short Bowel Syndrome
Congestive Heart Failure
Type 1 Diabetes Mellitus
Each case was carefully contextualized to reflect real hospital scenarios in Costa Rica, enhancing cultural relevance and clinical authenticity.
Structured Learning in Three Phases
To ensure a meaningful, progressive, and competency-based learning experience, the implementation of Clinical Mind AI was intentionally structured into three sequential phases. This design allowed students to move from familiarization with the digital environment, to autonomous clinical reasoning, and finally to guided reflection, mirroring the natural flow of real-world clinical practice. By scaffolding the learning process, the three-phase model supported deeper understanding, critical thinking, and the integration of theory with practice, while maximizing student engagement and confidence.
Orientation Phase: Students received guided instruction on how to navigate Clinical Mind AI, interact with the virtual patient, and understand the platform’s logic and feedback mechanisms.
Simulation Phase: Each student independently managed the clinical cases, applying theoretical knowledge, clinical judgment, and professional reasoning in real time.
Reflection & Discussion Phase: After completing each case, group feedback sessions were conducted with the course instructor. Students compared approaches, discussed clinical decisions, and reflected on best practices and alternative strategies.
This integration was strategically scheduled during the mid and final stages of the semester, aligning with theoretical modules on gastrointestinal, cardiovascular, and endocrine disorders.
What Students Did Inside Clinical Mind AI
Using the platform, students interacted with simulated patients and accessed comprehensive clinical information, including:
Demographic data
Clinical signs and symptoms
Biochemical and laboratory values
Dietary records and medical history
Students were challenged to:
Conduct a comprehensive nutritional assessment (ABCD)
Interpret biochemical markers and clinical findings
Formulate a nutrition diagnosis using the Nutrition Care Process (NCP)
Prioritize coexisting pathologies in complex cases
Design evidence-based nutritional interventions
Establish SMART goals tailored to each patient
Pedagogical Framework: The Nutrition Care Process
To ensure academic rigor and alignment with internationally recognized standards of professional practice, the learning experience was grounded in the Nutrition Care Process (NCP) as its core pedagogical framework. By structuring all clinical simulations around this systematic and evidence-based model, students were able to approach each case with a clear methodology, reinforcing consistency, clinical reasoning, and professional judgment throughout the decision-making process.
What impact or benefits have you observed for your students or teaching practice?
Key Competencies Strengthened
The pilot successfully reinforced critical professional skills, including:
Clinical reasoning in complex patient scenarios
Integration of scientific evidence into nutrition prescriptions
Communication skills and motivational interviewing
Digital literacy and confidence in telehealth environments
Ethical and professional use of AI in clinical practice
Student Voices: Authentic Impact
Student feedback highlighted strong engagement and acceptance of the platform:
“Learning this way feels different—it forces me to think as if I were in front of a real patient.”
“The platform is intuitive and very easy to understand.”
“It feels like talking to someone from Costa Rica,” one student noted, emphasizing the natural language and local contextualization of the chatbot.
These reflections demonstrate how Clinical Mind AI fosters active learning, realism, and emotional connection, key elements in effective clinical education.
Observed Benefits
The implementation of Clinical Mind AI delivered meaningful value for both students and faculty by creating a safe space for clinical decision-making while exposing learners to highly realistic, AI-driven patient simulations. Beyond technical knowledge, the experience fostered the development of essential soft skills, such as empathy, active listening, and patient-centered communication, while allowing students to gain early familiarity with virtual care and telemedicine. As a result, participants were not only trained in clinical nutrition, but also immersed in the broader Digital Health ecosystem that is shaping the future of healthcare practice.
