Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-28T15:30:36.991Z Has data issue: false hasContentIssue false

P.126 Enhancing patient understanding of spinal conditions through advanced imaging platforms

Published online by Cambridge University Press:  05 June 2019

MT Walsh
Affiliation:
(Chicago)
OH Khan
Affiliation:
(Chicago)
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Background: In spite of the shift towards “personalized medicine,” ambulatory medicine lags behind the cutting edge technology employed in non-medical fields to convey information in unique ways to enhance customer interactions. Furthermore, the complex nature of neurosurgical concepts can be difficult to convey within the confines of a short outpatient visit. These factors, coupled with potentially long wait times, can limit a patient’s engagement in the treatment process. We propose that application of advanced video platforms will empower patients to feel that neurosurgical concepts are accessible and understandable and enable the face-to-face time with the physician to begin at a more sophisticated level, ultimately improving patient engagment. Methods: 3D modeling, animation, and video game design were used in conjuction with tablet computers and VR headsets to create a video-driven “choose-your-own-adventure style patient experience” with initial use during waiting times prior to face-to-face interaction with the neurosurgery providers. Results: 3D modeling, animation, and virtual reality were successfully implemented in the Northwestern Medicine neurosurgery clinic with positive impact on patient engagement, including preliminary improvements in multiple patient satisfaction/”Likelihood to Recommend” scores. Conclusions: Advanced imaging platforms, including 3D modeling, animation, and virtual reality show great promise in improving patient engagement, patient retention, and “Likelihood to Recommend” scores.

Type
Poster Presentations
Copyright
© The Canadian Journal of Neurological Sciences Inc. 2019