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

Al-Hussein Abutaleb; Bruno Yun

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

Al-Hussein Abutaleb, Bruno Yun

University of Aberdeen

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	AAMAS '22
Subtitle of host publication	Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems
Publisher	International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages	1887-1889
Number of pages	3
ISBN (Electronic)	978-1-4503-9213-6
Publication status	Published - 9 May 2022
Event	International Conference on Autonomous Agents and Multi-Agent Systems 2022 - Online Duration: 9 May 2022 → 13 May 2022 https://aamas2022-conference.auckland.ac.nz/

Conference

Conference	International Conference on Autonomous Agents and Multi-Agent Systems 2022
Abbreviated title	AAMAS 2022
Period	9/05/22 → 13/05/22
Internet address	https://aamas2022-conference.auckland.ac.nz/

Keywords

Chatbot
OSCE
Education
Social Simulation

Access to Document

https://www.ifaamas.org/Proceedings/aamas2022/Licence: Other

Cite this

Abutaleb, A.-H., & Yun, B. (2022). Chameleon - A Framework for Developing Conversational Agents for Medical Training Purposes. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (pp. 1887-1889). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). https://www.ifaamas.org/Proceedings/aamas2022/

Chameleon - A Framework for Developing Conversational Agents for Medical Training Purposes. / Abutaleb, Al-Hussein; Yun, Bruno.
AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022. p. 1887-1889.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Abutaleb, A-H & Yun, B 2022, Chameleon - A Framework for Developing Conversational Agents for Medical Training Purposes. in AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 1887-1889, International Conference on Autonomous Agents and Multi-Agent Systems 2022, 9/05/22. <https://www.ifaamas.org/Proceedings/aamas2022/>

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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.",

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AB - 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.

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M3 - Published conference contribution

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ER -

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

Abstract

Conference

Keywords

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