Exploring technology to train positive pressure ventilation in neonatal resuscitation
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Date
2020-01-14
Authors
Hong, Kenny
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Abstract
The healthcare industry is always looking for innovative ways to use technology in order to improve the experiences of their professionals and their patients. The improvements are welcomed in a variety of areas, from analyzing relevant health data to establishing new ways of delivering medical education and training. With advancements in head-worn display technology such as the Microsoft Hololens, we must look into the feasibility of leveraging the technology to aid us in the ongoing challenge of creating these meaningful and educational experiences.
In this thesis, the bag and mask step in the Neonatal Resuscitation training is investigated. The bag and mask step is required to provide assisted ventilation through a face-mask. We evaluate the efficiency and performance of using data from devices such as a Phidget sensor for air pressure data and immersive technology such as the Microsoft Hololens to help provide users with useful feedback. Two studies were conducted to evaluate the potential of these technologies as well as the most effective method of delivering the feedback. Between four different stimuli: visual, audio, a combination of visual and audio, and the transition from visual and audio to audio-only, it was found that the visual stimuli resulted in the best performance in the timing of the bag compressions in both our studies with laypeople and medical professionals. Based on the results of the study, we also express the importance of having a proper seal between the mask and the baby in order to achieve the appropriate pressure during manual ventilation.
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Keywords
Healthcare, Computer science, User Experience, UX, Training