Fuchiang (Rich) Tsui, PhD

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Associate Professor of Anesthesiology and Critical Care at the Hospital of the University of Pennsylvania and the Children's Hospital of Philadelphia
Department: Anesthesiology and Critical Care

Contact information
Children's Hospital of Philadelphia
Department of Anesthesiology and Critical Care Medicine
Roberts Center for Pediatric Research
2716 South Street
Philadelphia, PA 19146
Education:
BS (Electrical Engineering)
Tatung University, Taipei, Taiwan, 1988.
MS (Electrical Engineering)
University of Pittsburgh, Pittsburgh, PA, 1993.
PhD (Electrical Engineering)
University of Pittsburgh, Pittsburgh, PA, 1996.
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Description of Research Expertise

Dr. Tsui's research interest includes clinical informatics, natural language processing, artificial intelligence and machine learning, population informatics, data science, data engineering, mobile healthcare, data warehouse, and large real-time clinical production systems. He has published 100+ peer-reviewed papers and has been working in healthcare field for more than 25 years.

To translate academic research into clinical practice, Dr. Tsui has directed several projects for real-time patient risk prediction by integrating hospital EHR systems and predictive modeling, e.g., the Cardiac Intensive Care Warning Index (C-WIN), the Infant Mortality Prediction System with Intervention Management (IMPreSIv), and the System for Hospital Adaptive Readmission Prediction and Management (SHARP). He was one of funding members of the Real-time Outbreak and Disease Surveillance (RODS) system and the National Retail Data Monitor (NRDM) system at the University of Pittsburgh.

Dr. Tsui teaches the course of “Introduction to Biomedical and Health Informatics” at the Perelman School of Medicine, University of Pennsylvania. He has served as a dissertation advisor of doctoral students and a mentor of post-doctoral fellows and junior faculty members.

Dr. Tsui’s Laboratory (www.tsuilab.com) at the Children’s Hospital of Philadelphia and the University of Pennsylvania has been hosting international visiting scholars from different countries to work on various biomedical informatics research projects. His laboratory welcome (international) visiting scholars and research collaboration.

Selected Publications

Okon E, Shi L, and Tsui F: Automated diagnosis coding from clinical notes using attention-augmented recurrent convolutional neural networks. American Medical Informatics Association Nov. 2020.

Tsui F, Shi L, Ruiz V, Mi F, Goldsmith M, Naim M, Galvez J, and Simpao A: Design and deployment of a real-time AI-based telehealth system for deterioration prediction of critical-care patients in a large children’s hospital. American Medical Informatics Association Nov. 2020.

Allan F Simpao, Lezhou Wu, Olivia Nelson, Jorge A Gálvez, Jonathan M Tan, Jack O Wasey, Wallis T Muhly, Fu-Chiang Tsui, Aaron J Masino, Paul A Stricker: Preoperative Fluid Fasting Times and Postinduction Low Blood Pressure in Children A Retrospective Analysis. Anesthesiology: The Journal of the American Society of Anesthesiologists 133(3), Sept. 2020.

Chen C and Tsui F: Comparing Different Wavelet Transform on Removing Electrocardiogram Baseline Wanders and Special Trends. International Conference on Intelligent Biology and Medicine August 2020.

Aronis JM, Ferraro JP, Gesteland PH, Tsui F, Ye Y, Wagner MM, Cooper GF: Bayesian approach for detecting a disease that is not being modeled. PLoS One 15(2), Feb 2020.

Je S, Kaiho Y, Victor RH, Tsui F-C, Hanna R, Napolitano N, Tarquinio K, Shults J, Nadkarni V, Akira N: Prediction of adverse tracheal intubation-associated events in the PICU Using machine learning. Crit Care Med. 48(1): 604, Jan. 2020.

Fuchiang (Rich)Tsui, Luge Yang, Lingyun Shi, and Lezhou Wu: A Data-Driven Approach for Integrating Infant Mortality Prediction and Survival Time Estimate from Electronic Health Records. American Medical Informatics Association (AMIA), Washington DC November 2019 Notes: Oral presentation.

Victor M. Ruiz, Jorge Galvez, Michael Goldsmith, Maryam Naim, Alejandro Lopez-Magallon, Ricardo Munoz, Fuchiang (Rich) Tsui: Leveraging temporal patterns in physiological variables for prediction of critical events in single ventricle infants. American Medical Informatics Association (AMIA), Washington DC November 2019.

Anirban Banerjee, Fuchiang Rich Tsui, Jorge J. Guerra Marin, Victor Ruiz, Shobha Natarajan, Chitra Ravishankar, Jonathan J. Rome, Anita L. Swasat, Alyson Stagg, and Therese M. Giglia: Can Machine Learning Predict Hospitalization from Sparse Interstage Home Monitoring Data of Single Ventricle Infants? Circulation 140(Suppl_1), November 2019.

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. Journal of Thoracic and Cardiovascular Surgery Elsevier Inc. 158(1): 234-243, July 2019.

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Last updated: 08/30/2020
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