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Five-element AI role-play structure mirroring the dental clinic workflow

Design · All designs
Evidence · no claims cited

Description

The role-play activity was "structured into multiple elements, mirroring the typical workflow in the dental hospitals teaching clinics": patient history taking with the AI-simulated patient, information synthesis into a preliminary assessment, diagnostic planning with a rationale for each test, supervisor interaction with an AI-simulated clinical supervisor, and test retrieval and interpretation with embedded multimedia such as radiographs, photographs, and videos of cold and percussion tests. This sequence let students experience the initial patient interaction through to diagnostic planning and supervisor consultation, adding realism and contextual interpretation of clinical data.

Design Implications

Context

Requirements

  • Two interconnected chatbots with prompt engineering limiting patient information per reply
  • Retrievable diagnostic tests embedded in the supervisor chat interface

Constraints

  • The identification of the neuropathic pain root cause was outside the scope of practice for the students in the designed scenario

Target Learners

  • oral health students transitioning from simulation to patient care and final-year students consolidating skills

Learning Goals

  • systematic pain history taking
  • diagnostic test selection and interpretation
  • clinical reasoning and communication

Claims

Examples

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Key Sources

  • B. Jones, A. Desu, and C. D. F. Honig. (2026). Artificial Intelligence Chatbots as Virtual Patients in Dental Education: A Constructivist Approach to Classroom Implementation. European Journal of Dental Education 30(2): 447–456. https://doi.org/10.1111/eje.13135
Page metadata
Field Value
type design
id ai-roleplay-clinic-workflow-structure
title Five-element AI role-play structure mirroring the dental clinic workflow
description The role-play activity was "structured into multiple elements, mirroring the typical workflow in the dental hospitals teaching clinics": patient history taking with the AI-simulated patient, information synthesis into...
status review
generated by process:settle-candidates on 2026-11-05
trust unverified — no one has confirmed this page's content
sources 1 — b-jones-2026

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