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Fuchiang (Rich) Tsui, PhD
Fuchiang (Rich) Tsui
Director, Tsui Laboratory

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.

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Bio

Fuchiang (Rich) Tsui, PhD, 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 is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a silver member of the American Medical Informatics Association (AMIA), and an inaugural editorial board member of JAMIA OPEN. 

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

Professional Memberships

Senior Member, Institute of Electrical and Electronics Engineers (IEEE), 1991

Silver Member, American Medical Informatics Association (AMIA), 1996

Professional Awards

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

Publication Highlights

Millett NE, Aronis JM, Wagner MM, Tsui F, Ye Y, Ferraro JP, Haug PJ, Gesteland PH, Cooper GF. The design and evaluation of a Bayesian system for detecting and characterizing outbreaks of influenza. Online J Public Health Inform. 2019 Sep; 11(2): e6. PubMed PMID: 31632600
Ruiz VM, Saenz L, Lopez-Magallon A, Shields A, Ogoe HA, Suresh S, Munoz R, Tsui FR. Early prediction of catastrophic events in pediatric critical care for patients with single ventricle physiology. J Thorac Cardiovasc Surg. 2019 Jul; 158(1):234-243. PubMed PMID: 30948317
Ruiz V, Saenz L, Lopez-Magallon A, Shields A, Ogoe H, Suresh S, Munoz R, Tsui F. Early prediction of critical events for infants with single-ventricle physiology in critical care using routinely collected data. J Thorac Cardiovasc Surg. 2019 Jul; 158(1):234-243. PubMed PMID: 30948317

Active Grants/Contracts

Electrocardiographic Detection of Non-ST Elevation Coronary Events for Accelerated Classification of Chest Pain Encounters, ECG-SMART, NIH, 2018-2022, Co-I: Fuchiang (Rich) Tsui.

Harnessing Computerized Adaptive Testing, Transdiagnostic Theories of Suicidal Behavior, and Machine Learning to Advance the Emergent Assessment of Suicidal Youth, NIH, 2013-2023, Sub-award PI: Fuchiang (Rich) Tsui.

Infant mortality prediction and reduction in Allegheny County, Phase II, Richard King Mellon, 2019-2022, Sub-award PI: Fuchiang (Rich) Tsui.

I-WIN: Intensive Care Warning Index, CHOP/IS Research, 2019-2021, Fuchiang (Rich) Tsui.

EDW: Expertise Data Warehouse Using ML and NLP, CHOP Research, 2019-2020, PI: Fuchiang (Rich) Tsui.