Where is the nurse? Towards automatically visualising meaningful team movement in healthcare education

Vanessa Echeverria, Roberto Martinez-Maldonado, Tamara Power, Carolyn Hayes, Simon Buckingham Shum

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

15 Citations (Scopus)

Abstract

Providing immediate, effective feedback on team and individual performance in healthcare simulations is a challenging task for educators, such is their complexity. Focusing on emergency procedures on patient manikins, our prior work has demonstrated the feasibility of using multimodal data capture and analysis to generate visualisations of student movement, talk and treatment actions. The limitation to date has been the need for manual steps in the analytic workflow. This paper documents how we have automated several key steps, using new technologies, which were piloted during a nursing simulation. Combining role-based nurses’ movement data with high fidelity manikin logs, we have implemented a zone-based classification model, and are able to automatically visualise movements within an emergency response team, providing the data needed to design near real-time feedback for both educators and students.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education
Subtitle of host publication19th International Conference, AIED 2018 London, UK, June 27–30, 2018 Proceedings, Part II
EditorsCarolyn Penstein Rosé, Roberto Martinez-Maldonado, H. Ulrich Hoppe, Rose Luckin, Manolis Mavrikis, Kaska Porayska-Pomsta, Bruce McLaren, Benedict du Boulay
Place of PublicationCham Switzerland
PublisherSpringer
Pages74-78
Number of pages5
ISBN (Electronic)9783319938462
ISBN (Print)9783319938455
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventInternational Conference on Artificial Intelligence in Education 2018 - London, United Kingdom
Duration: 27 Jun 201830 Jun 2018
Conference number: 19th
https://link-springer-com.ezproxy.lib.monash.edu.au/book/10.1007/978-3-319-93843-1 (Link to Proceedings - Part I)
https://link.springer.com/book/10.1007/978-3-319-93846-2 (Link to Proceedings - Part II)

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume10948
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Artificial Intelligence in Education 2018
Abbreviated titleAIED 2018
CountryUnited Kingdom
CityLondon
Period27/06/1830/06/18
Internet address

Keywords

  • Analytics
  • Collaboration
  • Localisation
  • Movement
  • Teamwork

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