Simulation integration for healthcare education, training and assessment

Ellaway, Rachel; Cooperstock, Jeremy R.; Spencer, Bruce

doi:10.1109/icdim.2010.5664229

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…As part of a related project connected to the Health Services Virtual Organisation (HSVO, http://olab.ca/hsvo-health-services-virtual-organization/), we also explored the utility of connecting these haptic devices to the HSVO Savoir bus interface. R. H. Ellaway, Cooperstock, & Spencer, 2010;Spencer, Copeland, Harzallah, Hickey, & Liu, 2009) Although the user controlled light paths, available through Savoir, provide high bandwidth and volume of data throughput, the cycle turnaround and delays were sufficient to limit the usefulness of this approach.…”

Section: Metricsmentioning

confidence: 99%

Virtual Spinal Tap: using haptic data to learn procedures with feel

Topps¹,

Korolenko²,

Domenico³

et al. 2018

MedEdPublish

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Distributed medical education programs have trouble providing suitable resources for certain forms of clinical training. Certain procedures are harder to learn because watching a skilled practitioner tells the learner little. Using a dual-control haptic device interface, and anatomically accurate virtual spinal models, we were able to create a Virtual Spinal Tap to improve the verisimilitude of an online learning experience. The devices and interfaces provided the means to measure and reproduce the subtle forces involved in a procedure that is learned by feel. Integration of this model with other simulation modalities would enhance its applicability.

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Section: Metricsmentioning

confidence: 99%

Virtual Spinal Tap: using haptic data to learn procedures with feel

Topps¹,

Korolenko²,

Domenico³

et al. 2018

MedEdPublish

View full text Add to dashboard Cite

show abstract

“…Building on this principle, we developed and tested ways of using human agents to respond to learners within virtual scenario activities. This paper describes our progress to date on the development, testing, and utility of human-driven natural language functionality in the design of virtual scenario cases, using the open-source OpenLabyrinth platform ( Ellaway, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

Turk Talk: human-machine hybrid virtual scenarios for professional education

Cullen¹,

Sharma²,

Topps³

2018

MedEdPublish

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Virtual scenarios provide a means for creating rich and complex online cases for health professional students to explore. However, the response options available to the learner are usually predefined, which limits the utility of virtual patients. Using artificial intelligence or natural language processing to accommodate such flexibility is expensive and hard to design. This project description lays out an alternative approach to making virtual scenarios more adaptable and interactive. Using OpenLabyrinth, an open-source educational research platform, we modified the interface and functionality to provide a human-computer hybrid interface, where a human facilitator can interact with learners from within the online case scenario. Using a design-based research approach, we have iteratively improved our cases, workflows and scripts and interface designs. The next step is testing this new functionality in a variety of situations. This report describes the pilot implementation of this pilot project. It includes the background, rationale, objectives, learning and educational designs, and implications for software development. The costs and time required to modify the software were much lower than anticipated. Facilitators managed text input from multiple concurrent learners. Learners noted a delay while waiting for the facilitator's response, but denied becoming frustrated. The implementation and use of this new technique seems promising for training and assessment purposes related to developing effective communication skills. This report also explores the provisional implications arising from the study so far.

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Simulation integration for healthcare education, training and assessment

Abstract: Funded as part of the 'Network-Enabled

Cited by 2 publications

References 4 publications

Virtual Spinal Tap: using haptic data to learn procedures with feel

Virtual Spinal Tap: using haptic data to learn procedures with feel

Turk Talk: human-machine hybrid virtual scenarios for professional education

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