Dr. Tsui's research interests include clinical informatics, natural language processing, artificial intelligence and machine learning, population informatics, data science, signal processing, mobile healthcare, and large real-time clinical production systems. He's published over 100 peer-reviewed papers.
Chén Kenyon, MD wanted to find out if asthma patients treated safely and effectively with CAA in the non-ICU, inpatient setting, which may free up limited ICU beds for other high acuity patients and offer significant cost-savings.
A new system designed by CHOP informatics experts seeks to help investigators assemble, access and analyze large amounts of health data - without requiring researchers to become specialized database technicians themselves. Designed by the Department of Biomedical and Health Informatics (DBHi), the toolkit is an open-source, highly interactive framework that is designed to let users to quickly navigate different types and levels of data.