Empathetic Chatbot: Enhancing Medical Education with Artificial Intelligence
DOI:
https://doi.org/10.56198/ITIG2U41KKeywords:
Chatbots, Medical Education, Empathy, Natural Language Processor, Dialogflow, Artificial Intelligence, AI, Simulated Patients, Standardized Patient, Educational Technology, Conversational AgentAbstract
This article discusses the development of a chatbot that is designed to assist medical students in practicing empathetic communication skills with simulated patients. Empathy is critical in clinical outcomes and can improve the provider-patient relationship. The chatbot provides personalized learning support to students and is created using an artificial intelligence (AI) intent framework, with a natural language processor (NLP) interface and uses a Dialogflow intent process framework. Additionally, the article considers the cost-saving benefits of incorporating chatbots in medical education as a potential cost benefit to standardized patient scenarios. Finally, it summarizes the studies that have demonstrated the effectiveness of chatbots as a learning tool and underscore their potential to enhance the learning process in medical education.
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