Taipei Medical University (TMU) has four teaching hospitals with a total of 3500 beds and about 5000 outpatient visits every day. We have access to EHR of all our patients from the last 20 years in the four university affiliated hospitals. The College of Medical Science and Technology, is a leading institution who have demonstrated the excellence in cutting-edge research in the utilization of ICT in the healthcare. The International Center for Health Information Technology (ICHIT), is a leading center which have demonstrated the excellence in cutting-edge research in the utilization of ICT in the healthcare. Our focus is 4P medicine (Prediction, Prevention, Participation and Personalization).
Through CrowdHEALTH, we are happy to collaborate with Universitat Politècnica de València in the development of a conversational boot called “Wakamola” for the Telegram platform, which collects the lifestyle data and aids in monitoring and predicting risk in developing obesity among adult population. It also detects the social network of general citizens in relates to obesity and overweight. It collects information about the users: social network, weight, height, physical activity, exercise routines, eating habits and other behaviors which could influence the obesity risk. After the information retrieval, the risk of obesity is evaluated and the user receives a feedback through the boot.
In addition, TMU is contributing with a dataset of 2 million cohort of 14 years. TMU will work with partners to process the data and provide them the dataset according to their requirements. Further, TMU is also providing their use case study of Chronic Kidney Disease (CKD). The outcome of the analysis on these datasets can provide an evidence to policy makers and aid the generation of new health policies.
TMU has added to the dissemination activities of the CrowdHEALTH project through promoting it in various conferences and forums in Asia.