Javascript must be enabled for the correct page display

Development of an Interactive Video Practice Application for Rare Procedures in Emergency Medical Services

Kuipers, Floor T.A. (2022) Development of an Interactive Video Practice Application for Rare Procedures in Emergency Medical Services. Master's Thesis / Essay, Computational Cognitive Science.

[img]
Preview
Text
mCCS_2022_KuipersFTA.pdf

Download (10MB) | Preview
[img] Text
Toestemming.pdf
Restricted to Registered users only

Download (119kB)

Abstract

Nurses in the Emergency Medical Services face a broad variety of medical situations. Most of these medical situations require frequently used skills, but other skills are rarely used. It is known that if a skill requires declarative knowledge to practice it, it is prone to decay over time if it is not used. It can be very impactful and distressing if a rare procedure has to be performed and the EMS team does not know how to take the appropriate steps anymore. This research focuses on a solution to this issue of skill decay of rarely executed procedures. This is done by developing an interactive video application, named ’IVEA’, with which nurses can practice the necessary knowledge of such a rare skill. This research focused specifically on the cricothyroidotomy procedure. Nurses used IVEA for two weeks, after which they performed a cricothyroidotomy procedure on a phantom. Their performance of this procedure was compared to the performance of nurses who did not use the application. No firm conclusion could be drawn as to whether or not performance of the nurses improved, because of a low number of participants. It was, however, apparent that nurses would appreciate and use an app such as IVEA as a supporting learning tool. There were clear indications that there is a need for a more coherent application for refresher education. Overall, IVEA shows promise in supporting nurses in practicing skills that rarely have to be used, in an interactive and accessible way.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Cnossen, F.
Degree programme: Computational Cognitive Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 20 Dec 2022 14:17
Last Modified: 20 Dec 2022 14:17
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/29068

Actions (login required)

View Item View Item