Fuchiang (Rich) Tsui, PhD, FAMIA, IEEE Senior Member
Associate Professor of Anesthesiology and Critical Care at the Hospital of the University of Pennsylvania and the Children's Hospital of Philadelphia
Director, Tsui Laboratory, Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia
Science Director, Biomedical Informatics Program, Department of Anesthesiology and Critical Care Medicine,, Children's Hospital of Philadelphia
Scientist, Endowed Chair in Biomedical Informatics and Entrepreneurial Science, 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
Department of Anesthesiology and Critical Care Medicine
Roberts Center for Pediatric Research
2716 South Street
Philadelphia, PA 19146
Email:
tsuif@chop.edu
tsuif@chop.edu
Publications
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.
Permanent linkBS (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.
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
Kumar R, Georgostathi G, Nelson O, Padiyath A, Pratap N, Simpao A, Tsui F, Wasey J, Lang SS, Yuan I, # for the BRAIN collaborative investigators: sing Quantitative EEG and Machine Learning to Predict Sevoflurane Concentration in Infants. Society of Pediatric Anesthesia Annual meetings Mar 2023.Tsui FR, Shi L, Grover S, Han S, Iyer R, Simpao A, Kurth D, Deshpande J: WAKE UP SAFE: (RE)BUILDING A NATIONAL ADVERSE EVENT CASE REPORTING SYSTEM. The Society for Technology in Anesthesia (STA) 2023 Annual Meeting January 2023.
Peet ED, Schultz D, Lovejoy S, Tsui F: Variation in the infant health effects of the women, infants, and children program by predicted risk using novel machine learning methods. Health Economics 32(1): 194-217, Jan. 2023.
Richie R, Ruiz V, Han S, Shi L, Tsui RT: Extracting social determinants of health events with transformer-based multi-task, multi-label named entity recognition. Journal of American Medical Informatics Association Accepted, 2023.
Richie R, Ruiz V, Han S, Shi H, Tsui FR: Extracting social determinants of health events with transformer-based multi-task, multi-label named entity recognition. Journal of American Medical Informatics Assoc. Accepted, 2023.
Ruiz VM, Shi L, Mi F, Tsui F: Systems and methods for early detection and management of clinical critical events. United States Patent Application Publication(US202/0406421A1), Dec. 2022 Notes: https://patentimages.storage.googleapis.com/f4/51/3d/85aa033cdfa2e8/US20220406421A1.pdf.
Han S, Shi L, Richie R, Tsui FR: Building siamese attention-augmented recurrent convolutional neural networks for document similarity scoring. Information Sciences 615: 90-102, November 2022.
Desai KD, Yuan I, Padiyath A, Goldsmith MP, Tsui F, Pratap JN, Nelson O, Simpao AF: A Narrative Review of Multi-Institutional Data Registries of Pediatric Congenital Heart Disease in Pediatric Cardiac Anesthesia and Critical Care Medicine. Journal of Cardiothoracic and Vascular Anesthesia in press, Nov. 2022 Notes: https://www.sciencedirect.com/science/article/abs/pii/S1053077022008576.
Richie R, Ruiz V, Han S, Shi L, Tsui FR: Using dual transformers for multi-task, multi-label token classification (MTML-BERT) to extract social determinants of health from clinical notes. 2022 National NLP Clinical Challenges (n2c2) Shared Task and Workshop, Washington, DC November 2022 Notes: Podium Presentation.
Peet ED, Schultz D, Lovejoy S, and Tsui FR: Variation in the infant health effects of the women, infants, and children program by predicted risk using novel machine learning methods. Health Economics October 2022 Notes: Epub ahead of print.