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Augmented learning environment for wound care simulation
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e-FER
How would you use AR?
Thank you.
n.ribeirojorge@tudelft.nl
http://prezi.com/user/nelsonrjorge/
Augmented learning environment for wound care simulation
Mann-Whitney U test
Correct answers in the diagnosis
GE
GC
GE
1st moment (p=0,89)
2nd moment (p<0,01)
Nelson Jorge, Delft University of Technology
Lina Morgado, Universidade Aberta
Pedro Gaspar, Politécnico de Leiria
EDEN Annual Conference
Budapest, 15 June 2016
Mann-Whitney U test
Correct answers in the treatment
GC
GE
GC
AUGMENTED REALITY
1st moment (p=0,63)
2nd moment (p=0,09)
Technology that allows the integration of virtual objects into the physical real world, supplementing it in a way that they seem to coexist in the same space (Zhou, Duh & Billinghurst, 2008).
The combination of real with virtual, real time interactivity and three dimensional (3D) virtual content are the three commonly accepted characteristics of AR systems (Azuma, 1997).
Wilcoxin test
Control group
1ºM
2ºM
1ºM
2ºM
Diagnosis (p=0,06)
Treatment (p=0,23)
Wilcoxin test
6 new clinical cases produced using:
- Autodesk® 123D® Catch, a software that generates 3D objects based on several pictures taken from different angles.
Experimental group
- ViewAR, a software that uses printed markers to show the 3D objects in AR, when detected by an iPad with the application installed.
1ºM
2ºM
1ºM
2ºM
Diagnosis (p<0,01)
Treatment (p=0,44)
Research goal
To investigate the effect of Augmented Reality (AR) in nursing student’s decision making skills about wound care, by comparing the usage of the e-FER simulator with and without the support of AR to visualize the wounds.
Online clinical decision-making simulator used in the initial training of nurses, allowing to simulate the diagnosis and treatment of virtual clinical cases of chronic wounds.
Literature review
The main goal is to promote the healing of the patient’s wound by selecting the best diagnosis and treatment solution, in this order. The effectiveness of e-FER was demonstrated by Costa (2010).
In general, AR has shown to be an effective tool to develop clinical skills when compared with other methods, with a greater impact on inexperienced learners, and its transfer to real world scenarios.
Conclusion
Assessment
Questionnaire
AR improved participants performance in the diagnosis, when compared to using the traditional version of e-FER, with statistically significant differences (p<0,01) in the Mann-Whitney U and Wilcoxon tests.
Usability
Motivation
Questionnaire
Data extracted from e-FER
Student's performance
quasi-experimental study
1st moment
(2 weeks)
2nd moment
(2 weeks)
Grupo de controlo (n=24)
Control group (n=24)
Grupo de experimental (n=30)
Experimental group (n=30)