To encourage students to understand the field of health IT.
iSlide Project
A ‘big picture’ interactive teledermatopathology e-learning system
Social Media in Health care
A course conducted on futurelearn.com, a MOOCS platform, to encourage the better understanding of opportunities and challenges in social media.
Health IoT
Bio-sensor project
Using mobile wireless technology to monitor ECG in participants of mass events and sports taking place in difficult-to-access location could both prevent and easier detect arrhythmias as well as provide real-time monitoring for any type of injury.
CloudBP Project
A randomized controlled trial for hypertension control by integrating cloud-based manometers and physician order entry systems
Telemedicine & mHealth
LabPush Project in Swaziland
To assess factors facilitating as well as factors hindering the adoption of mobile devices in the Swazi healthcare through evaluating the end-users of the LabPush system.
Mobile Motivational Messages for Change (3M4Chan) Intervention in TMU
The 3M4Chan pilot in Taipei Medical University (TMU), Taiwan, is a part of the SmokeFreeBrain project. It is aimed to understand how mobile motivational messages influence the process of quitting smoking.
Sana Mobile health Project
Sana Mobile health Project with Massachusetts Institute of Technology (MIT-Harvard), USA and College of Medical Science & Technology (CoMST), Taipei Medical University, Taiwan
Travelers Electronic Health Record Template (TrEHRT)
Travelers Electronic Health Record Template (TrEHRT) with AMIA, APAMI, EFMI, IMIA
Big Data Analytis & Visualization
Advanced Electronic Safety of Prescriptions (AESOP) Project
Disease-Drug Association Project in collaboration with Taipei Medical University, Taiwan and Brigham and Women's Hospital (BWH), United States
CAMA
Visualization of Cancer Associations Map Animation
Informatics for Precision and Translational Medicine
Long-Term Drugs Versus Cancer Risks
PWAS-Q Project
To objectively characterize phenome-wide associations observed in the entire Taiwanese population and represent them in a meaningful, interpretable way.
The disease map
Disease Wide Associations (DWAS) Project with University of New South Wales and Visualization of disease-wide population-wide associations.
Visualizing disease trajectories using big data
To see is to believe - Visualization of the Spectrum on chronic diseases
