Fuchiang (Rich) Tsui, PhD
Dr. Tsui's research interest includes Clinical informatics, public health informatics, biosurveillance, machine learning, (big) data mining, artificial intelligence, natural language processing, mobile healthcare, precision medicine, data warehouse, time series analysis, signal processing, and large real-time production systems. He has been working in medical informatics for more than 17 years. Dr. Tsui has produced over 80 peer-reviewed publications and his publications have been actively cited (Google h-index: 38).
Dr. Tsui has extensive knowledge and experience building large informatics production systems. At the University of Pittsburgh, he received his PhD in Electrical Engineering, premed training, and postdoctoral training in medical informatics. He has built several large real-time informatics production systems: (1) Clinical Event Monitor System (CLEM) that serves as a decision support system and reports notifiable diseases at University of Pittsburgh Medical Center (UPMC) in real-time, (2) Realtime Outbreak and Disease Surveillance System (RODS) that collects and monitors emergency department visits at UPMC, and (3) National Retail Data Monitor (NRDM) that collects and monitors over-the-counter medication sales from over 32,000 retail stores across the nation. Recently, he has been working with Children's Hospital of Pittsburgh of UPMC to build his 4th production system SHARP, a realtime decision support system that helps clinicians and patient care teams identify and manage patients at high-risk for 30-day readmission.