Leveraging social media to generate narrative for virtual patient simulations

Velez, Jonathan; Neal, Taylor; Babichenko, Dmitry; Wallace, Rae-Djamaal

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https://hdl.handle.net/2142/96726 Copy

Description

Title

Leveraging social media to generate narrative for virtual patient simulations

Author(s)

• Velez, Jonathan
• Neal, Taylor
• Babichenko, Dmitry
• Wallace, Rae-Djamaal

Issue Date

2017

Keyword(s)

• Data mining
• Health sciences education
• Narrative generation
• Natural language processing
• Virtual patients

Abstract

This work describes the research and development of semi-automated, user-supervised narrative generation for virtual patient (VP) simulators. We outline the system architecture required of such a system, and propose leveraging data from the health-related content of social networking websites (specifically, Facebook, PatientsLikeMe, and Inspire), in addition to electronic medical record (EMR) datasets. Our research focuses on four key areas as we work toward finalizing our system design: 1) Exploring the utilization of the Open Biomedical Ontologies and other natural language processing tools to facilitate concept identification, synonym generation, and knowledge base construction; 2) Designing templates that structure the presentation of narrative content according to author-selected parameters that serve as queries into the knowledge base; 3) Comparing various user interfaces to best support the author’s interaction with the plot graph and the logical design of narrative cases; 4) Piloting protocol for evaluating the quality of simulation narratives and its influence on simulation fidelity.

Publisher

iSchools

Series/Report Name or Number

iConference 2017 Proceedings

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/96726

Copyright and License Information

Copyright 2017 Jonathan Velez, Taylor Neal, Dmitry Babichenko, and Rae-Djamaal Wallace

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