Designing a Conversational AI for Nursing Training
Designed a conversational AI feature within a simulation platform to help nursing practitioners practice patient communication. Created detailed workflows, collaborated with engineering to align with technical capabilities, and delivered a chatbot that enabled realistic, structured patient dialogues.
Role
UX Designer
Organization
CAE Healthcare
Year
2023
Key Highlights
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Designed an AI-driven patient conversation feature for clinical training simulations.
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Defined and mapped conversation flows for multiple patient scenarios.
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Technical Collaboration: Worked closely with engineers to understand NLP limits and designed interactions within those constraints.
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Integrated the chatbot into the simulation in a way that supported learning without disrupting immersion.
Chat open rate
+ 25%
Feature Satisfaction rate
+50%
Problem
Nursing students needed a way to practice asking appropriate questions in realistic clinical scenarios. The training platform lacked a structured but flexible way to simulate conversations with patients that felt human and meaningful. This problem was discovered during usability testing and needed attention. Also, 25% of the users who performed the usability test did not open the chat. They assumed the button meant the patient was active in the room.
Outcome
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Delivered a functional, user-centered AI conversation tool that supported skill development in clinical communication.
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Improved user confidence and comprehension by simulating realistic patient interactions.
The Outcome
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