Dr. Chih-Wei (Grace) Huang graduated from the Doctoral Program in Medical Informatics at Taipei Medical University in 2016 and served as a full-time Assistant Research Fellow at the International Research Center for Health Information Technology of the College of Medical Science and Technology, Taipei Medical University since 2018. Dr. Huang was promoted to Associate Research Fellow in 2022. To date, Dr. Huang has published 43 SCI/EI journal papers, with 6 as the first or corresponding author, and has participated in over 30 funded projects (including research, industry-academic collaborations, and scientific innovation projects), serving as the principal investigator for 3 of these projects. Dr. Huang has also been involved in over 10 patent applications, co-inventing 2 patents (applications in Taiwan and the U.S. for invention patents and a new type of patent in Taiwan). In 2020, Dr. Huang was appointed as a startup consultant for the SPARK program at Taipei Medical University and established the Digital Health Translation (DHT) initiative to assist with field validation and clinical data verification, linking resources for industry talent training and industry-academic collaboration platforms.

Dr. Huang's research focus is on "Digital Health Care for Chronic Kidney Disease," with doctoral research on "Visualizing Disease Trajectories through Big Data" focusing on chronic kidney disease, Taiwan's new national disease. In collaboration with Professor Kuan-liu Ma from the Data Visualization Center at the University of California, Davis, this work utilized time-series, multi-dimensional big data analysis, and interactive information visualization systems to track the disease progression of a research cohort over 13 years, providing researchers and clinicians with new perspectives and evidence for precise prevention and care. Subsequently, Dr. Huang has continued to delve into applying data analysis and machine learning for the prevention of comorbidities in chronic kidney disease and dialysis patients, drug dosage recommendations, personalized health education information, and wearable device interventions. The project titled "Constructing an Intelligent Erythropoiesis-Stimulating Agent Dosing Model for Patients with Chronic Kidney Disease Using Electronic Medical Records and Personal Health Information" received consecutive funding for two years (2019 and 2020) from the Ministry of Science and Technology (MOST 108-2410-H-038-010-SSS, 109-2410-H-038-007-), utilizing retrospective data (from Wanfang Hospital, Taipei, Tunghai Hospital, Taichung, and the Clinical Data Database of Taipei Medical University) and deep learning to establish an intelligent dosing prediction model. Furthermore, aiming to further construct personalized health education models through behavioral science to enhance patients' health literacy and disease awareness, Dr. Huang supervised two students from the Department of Gerontological Health Management in obtaining the Ministry of Science and Technology undergraduate project grants in 2021 and 2022, with projects titled "Health Literacy and Smart Bracelet Intervention as Important Factors and Preliminary Exploration of the Effects on Physical Activity of Elderly Dialysis Patients in Taiwan (NSTC 110-2813-C-038-199-H)" and "Evaluating the Effectiveness of Personalized Health Education Information Delivery via the LINE Platform for Middle-aged and Elderly Dialysis Patients (NSTC 111-2813-C-038-013-H)," leading to the presentation of research results at international academic conferences and receiving honors. Currently, Dr. Huang is working on the project "Developing a Multimodal Personalized Osteoporosis Fracture Risk Prediction Model for Dialysis Patients Using Clinical Phenotypes and Wearable Physiological Measurement Data (NSTC 112-2410-H-038-011-)," aiming to establish a personalized fracture risk prediction and assessment tool through multicenter clinical databases and field case collection, with clinical validation expected.

The International Center for Health Information Technology (ICHIT) is a renowned research center that focuses on the utilization of ICT in healthcare. Our main focus is on 4P medicine, which includes Prediction, Prevention, Participation, and Personalization. We work closely with our teaching hospitals and practice translational medicine utilizing the best knowledge available. Our team comprises multidisciplinary experts from various fields, including Biomedical Informatics, Data Mining, Natural Language Processing, Social Networking, Consultants from Neurology, Cardiology, Nephrology, and Dermatology, Physicians, Nurses, and Medical Technologists. Our primary focus is on translational research in Health Information Technology (HIT).

In this context, we can offer you design as well as functional analysis of the software, business, and processes analytics, and integration of heterogeneous e-Health and m-Health systems through a common open platform.

Health IoT The Internet of Things is a concept in which more devices (sensors/things) will be communicating across the Internet than human users. Explore technologies that collect both clinical and lifestyle data to track compliance with care plans, assess the role of wearable technology in improving outcomes for chronic and acute conditions for patients.

Telemedicine & mHealth The mHealth + Telehealth technologies brings together hospitals, policy makers, and innovators to discuss the future of connected health. It bridge the gap between rural health seekers with urban health providers.

Big Data Analytis & Visualization Data visualization is the presentation of data in a pictorial or graphical format. Converting millions of data points into one graph or map for easy understanding. The potential healthcare benefits are immense, and data governance best practices can be used to help ensure a safer and quality care.

e-Learning & Medical Education Distance learning refers to use of technologies based on health care delivered on distance and covers areas such as e-health, telematics, telemedicine, tele-education, etc. Explore the various technologies and communication systems for the need of e-health, telemedicine, e-Learning or tele-education.