Ulster University Logo

Quick Response Codes to Instantiate Interactive Medical Device Instructions For Display on a Smartphone

Patterson, Megan, Bond, Raymond, Mulvenna, Maurice, Reid, Carol, McMahon, Fiona, McGowan, Pauric, McGarry, Jenna and Cormican, Hugh (2017) Quick Response Codes to Instantiate Interactive Medical Device Instructions For Display on a Smartphone. In: British HCI Conference 2017, Sunderland, United Kingdom. ACM. 4 pp. [Conference contribution]

[img] Text - Supplemental Material
Indefinitely restricted to Repository staff only.

31kB
[img] Text - Accepted Version
16MB

URL: http://hci2017.bcs.org/posters-2/

Abstract

Usability is an increasingly important factor within the field of healthcare and medical devicedevelopment. One of the main issues with the usability of medical devices is their complex nature. Therefore, it is vital that comprehensive and clear instructions are provided to aid in the operation of these devices. While paper-based instructions are commonly provided, they have many disadvantages which can be addressed by interactive digital instructions. Moreover, in an era of pervasive computing, it is important to provide these instructions at the point of need. This can be done using a Quick Response code and a smartphone which allows for interactive instructions to be instantly accessible. This paper presents a case study and a working prototype to test the utility of interactive medical device instructions accessed by a QR code attached to the medical device.

Item Type:Conference contribution (Poster)
Keywords:medical devices, QR codes, usability, x-ray
Faculties and Schools:Faculty of Social Sciences > School of Communication
Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Ulster Business School > Department of Marketing, Entrepreneurship and Strategy
Ulster Business School
Faculty of Social Sciences
Research Institutes and Groups:Business and Management Research Institute
Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:38360
Deposited By: Dr Raymond Bond
Deposited On:14 Jul 2017 11:21
Last Modified:03 Jul 2018 22:23

Repository Staff Only: item control page