DocumentCode
726499
Title
Application of Mobile Games to Support Clinical Data Collection for Patients with Niemann-Pick Disease
Author
Sinnott, Richard O. ; Jun Han ; Hu, William ; Xiaoxiao Ma ; Kuai Yu
Author_Institution
Dept. of Comput. & Inf. Syst., Univ. of Melbourne, Melbourne, VIC, Australia
fYear
2015
fDate
22-25 June 2015
Firstpage
1
Lastpage
6
Abstract
Collection of clinical information can be a fraught and intimidating process in hospital environments, especially for children with neurological conditions. Gaming and mobile technology offer many potential advantages for data collection where clinically important data can be collected as a side effect of playing games. Niemann-Pick Disease (NPD) is one example of a condition where gaming technology has the potential to greatly help patients and doctors alike. NPD is a severe, often fatal neurological condition where extensive physiological and cognitive information needs to be collected by doctors, typically in hospital environments. To help healthcare providers collect far richer information on NPD patients and reduce the burden/stress of patients and their families alike, a suite of targeted mobile games was developed to capture specific clinical information on NPD patients. These were evaluated with NPD patients and the feedback received was used to tailor the games accordingly. Personalised clinical information obtained through game playing was recorded, analysed and visualised through a flexible and extensible Cloud-based solution including capabilities for tracking patients longitudinally. This work has been directly aligned with the International Niemann-Pick Disease Registry. We suggest that this approach offers the potential for improved processes for data collection and importantly, a less stressful and more cost effective approach for collecting clinical information from and for patients.
Keywords
cloud computing; cognition; data analysis; diseases; medical computing; neurophysiology; patient diagnosis; Niemann-Pick disease patients; clinical data collection; cloud-based solution; cognitive information; fatal neurological condition; gaming technology; healthcare providers; mobile game application; mobile technology; physiological information; Data collection; Diseases; Games; Hospitals; Image color analysis; Mobile handsets; Mobile games; Niemann-Pick Disease; data collection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems (CBMS), 2015 IEEE 28th International Symposium on
Conference_Location
Sao Carlos
Type
conf
DOI
10.1109/CBMS.2015.9
Filename
7167444
Link To Document