@inproceedings{b1d003c2b64e44b4939db43f66b08eea,
title = "Diabeticlink: An internationally collaborative cyber-enabled patient empowerment platform",
abstract = "Diabetes mellitus is a leading cause of death in both developed and emerging countries, and a chronic disease that requires a substantial amount of financially difficult and time-consuming healthcare provisions. However, patients{\textquoteright} quality of life can be significantly improved with appropriate education and tools for self-management. In order to improve health outcomes among populations largely prone to or already suffering from diabetes, the University of Arizona Artificial Intelligence Lab developed DiabeticLink, a free diabetes selfmanagement patient portal. This system is utilizable on mobile devices and personal computers. It incorporates novel methods for health status monitoring and trend projections, assessment and prediction of risks for major health events, recommendations of educational materials, and social functionalities. It was evaluated in 2014 prior to launching through an IRB-approved usability study. This internationally collaborative system has been launched in Taiwan and the United States (2013 and 2014, respectively), while a Danish version is currently being developed.",
keywords = "Collaborative, Dashboard, Diabetes, Health social media, Patient empowerment, Self-management, System evaluation",
author = "Grace Samtani and Lubaina Maimoon and Joshua Chuang and Casper Nybroe and Xiao Liu and Uffe Wiil and Li, {Shu Hsing} and Hsinchun Chen",
note = "Funding Information: This work is supported by the University of Arizona Artificial Intelligence Lab, the Caduceus Intelligence Corporation (funded by the National Science Foundation IIP-1417181), the National Taiwan University (NTUH), and Patient@Home Denmark. We wish to acknowledge our collaborators in the US, Taiwan, and Denmark for their research support. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; International Conference for Smart Health, ICSH 2015 ; Conference date: 17-11-2015 Through 18-11-2015",
year = "2016",
doi = "10.1007/978-3-319-29175-8_28",
language = "English (US)",
isbn = "9783319291741",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "299--310",
editor = "Hsinchun Chen and Zeng, {Daniel Dajun} and Xiaolong Zheng and Leischow, {Scott J.}",
booktitle = "Smart Health - International Conference, ICSH 2015, Revised Selected Papers",
}