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.

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

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
2013-2023
NIH
Sub-award PI: Fuchiang (Rich) Tsui

I-WIN: Intensive Care Warning Index
2019-2021
CHOP/IS Research
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
NIMH [R21MH123916-01]
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
NIMH [5R01MH100155-07]
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
NIMH [5P50MH115838-03]
The project is to develop predictive models for prediction of PHQ risk level including suicide risk and ideation.