In This Section
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.
Fuchiang (Rich) Tsui, PhD, FAMIA has been working in the healthcare field for more than 25 years. He is the director of Tsui Laboratory and the endowed chair in Biomedical Informatics and Entrepreneurial Science at Children’s Hospital of Philadelphia. Dr. Tsui is also an associate professor at the Perelman School of Medicine in the University of Pennsylvania.
Dr. Tsui serves as an Associate Editor of the ACM Transactions on Computing for Healthcare, an inaugural editorial board member of the JAMIA OPEN. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).
Dr. Tsui’s research focuses on three areas: 1) developing methods using AI, machine learning, natural language processing, and signal processing for healthcare needs; 2) implementing, deploying and analyzing real-time production systems; 3) supporting biomedical informatics education. He has served a principal investigator and a co-investigator in multiple research projects and has published 100+ peer-reviewed papers.
Dr. Tsui recently focuses on real-time big data-driven approach using electronic health records and streaming waveform high-speed data. He has deployed several large real-time multi-center systems. He also directs a graduate course entitled “Introduction to Biomedical and Health Informatics” at the University of Pennsylvania Perelman School of Medicine.
Education and Training
BS, Tatung University Taipei, Taiwan (Electrical Engineering), 1988
MS, University of Pittsburgh (Electrical Engineering), 1993
PhD, University of Pittsburgh (Electrical Engineering), 1996
Postdoctoral Fellow in Biomedical Informatics, University of Pittsburgh, 1996-98
Database Management, Oracle Education Center, Washington, DC, 1996-98
Postdoctoral Fellow in pre-Medical Studies, University of Pittsburgh, 1998-2000
Titles and Academic Titles
Director, Tsui Laboratory, Children's Hospital of Philadelphia
Associate Professor, Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania
Endowed Chair in Biomedical Informatics and Entrepreneurial Science, Department of Anesthesiology and Critical Care Medicine and Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia
Senior Member, Institute of Electrical and Electronics Engineers (IEEE), 1991
Silver Member, American Medical Informatics Association (AMIA), 1996
Best Paper Award finalist, Annual Symposium for Computer Applications in Medical Care, American Medical Informatics Association, 1997
Best Paper Award finalist, Annual Symposium for Computer Applications in Medical Care, American Medical Informatics Association, 1998
Best Paper Award, Annual Symposium for Computer Applications in Medical Care, American Medical Informatics Association, 2002
Scientific Achievement Award for Outstanding Research Articles in Biosurveillance, International Society for Disease Surveillance, 2012
Innovation Competition Award, Coulter Translational Research Partners II Program, University of Pittsburgh, 2014
Innovation Competition Award, First Gear Award, University of Pittsburgh, 2014
Distinguished Poster Award, American Medical Informatics Association Annual Conference, 2014
Distinguished Poster Award, America Medical Informatics Association Annual Conference, 2015
Pitt Innovator Award, Innovation Institute, University of Pittsburgh, 2016
IEEE Senior Member Award, 2018
CLPsych2019 Shared Tasks Competition, 3rd Place, 2019
PhD Dissertation Advisor of Ye Ye, the finalist of Best Dissertation Award, American Medical Informatics Association Annual Conference, Washington, DC, 2019
Fellow of the American Medical Informatics Association (FAMIA), 2020
Harnessing Computerized Adaptive Testing, Transdiagnostic Theories of Suicidal Behavior, and Machine Learning to Advance the Emergent Assessment of Suicidal Youth
Sub-award PI: Fuchiang (Rich) Tsui
I-WIN: Intensive Care Warning Index
Fuchiang (Rich) Tsui
PFI (RAPID): COVID Rapid Response Innovation Community (Winston- PI)
09/1/20 - 2/28/22 1.2 calendar
National Science Foundation [AWD-00001226]
The project is to enable the efficient and effective translation of innovative technology solutions to meet frontline medical shortages and expertise search related to COVID-19. A deep natural language processing tool will be developed for expertise and resource recommendation.
Predicting youth suicide attempt with EHR and PNC data (Barzilay and Tsui– PI)
07/1/20 - 06/30/22 1.2 calendar
The project aims at identification of variables (features) that can be collected by early adolescence, and contribute to prediction of suicide attempt in later adolescence.
Infant Mortality Risk Reduction in Allegheny County (Sadovsky- PI; Tsui-Site PI)
07/2019-06/30/22 3.6 calendar
R.K. Mellon Foundation
The project is to deploy predictive models with explanation and intervention approaches for prediction of infants with risks of infant mortality and preterm deliveries at UPMC Magee-Womens Hospital and the Children’s Hospital of Pittsburgh using EPIC and Cerner EHR systems.
Harnessing computerized Adaptive Testing, Transdiagnostic Theories of Suicidal Behavior, and Machine Learning to Advance the Emergent Assessment of Suicidal Youth (Brent– PI; Tsui-Site PI)
04/1/19 - 03/31/23 0.6 calendar
The project is to develop predictive models for prediction of adolescent suicide attempts.
PHQ project for ETUDES: Automated Prediction of Patient-Health-Questionnaire Outcomes from Longitudinal Electronic Health Records (Brent– PI; Tsui-Site PI)
11/1/19 - 04/30/22 0.6 calendar
The project is to develop predictive models for prediction of PHQ risk level including suicide risk and ideation.