Chameleon - A Framework for Developing Conversational Agents for Medical Training Purposes

University Aberdeen, Bruno Yun, Al-Hussein Abutaleb

Research output: Contribution to conferenceUnpublished paperpeer-review

Abstract

Objective Clinical Structured Examination (OSCE) is used to assess multiple competencies in medical pedagogy such as efficiently eliciting relevant clinical history from a patient. Clinical interviewing is done in a question and answer fashion, making it amenable to computer simulation. We introduce Chameleon, a framework to create virtual patients in an OSCE setting using the conversational agent platform Dialogflow CX. Our framework consists of a generic chatbot that is capable of answering most questions (in a classic non-specific clinical interview) and which can be expanded to capture any clinical presentation, e.g. a patient with backpain.
Original languageEnglish
Pages1887-1889
Number of pages3
DOIs
Publication statusPublished - 9 May 2022
EventInternational Conference on Autonomous Agents and Multi-Agent Systems 2022 - Online
Duration: 9 May 202213 May 2022
https://aamas2022-conference.auckland.ac.nz/

Conference

ConferenceInternational Conference on Autonomous Agents and Multi-Agent Systems 2022
Abbreviated titleAAMAS 2022
Period9/05/2213/05/22
Internet address

Keywords

  • Chatbot
  • OSCE
  • Education
  • Social Simulation

Fingerprint

Dive into the research topics of 'Chameleon - A Framework for Developing Conversational Agents for Medical Training Purposes'. Together they form a unique fingerprint.

Cite this