Fuchiang (Rich) Tsui, PhD, FAMIA, IEEE Senior Member
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
Senior Fellow, Penn Institute for Biomedical Informatics (IBI)
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
Office: 267-425-1294
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
Tweedy E, Mehta S, Grover S, Stinson H, Ruiz V, Sannino J, Nishisaki A, Tsui FR: PWIN: Prospective Evaluation of Realtime Deployment of a Machine Learning Model to Predict Critical Deterioration in the Pediatric ICU. Annual Symposium, American Medical Informatics Association (AMIA), Dallas, TX Nov. 2026.Tsui FR, Grover S, Han S, Tweedy E, Simpao AF, Iyer RS, Wake Up Safe Data Governance Committee, and Deshpande J: WAKE UP SAFE (Version 2): A National Adverse Event Case Reporting and Common Anesthesia Record Denominator Database (Anesthesia Informatics Initiatives). Annual Symposium, American Medical Informatics Association (AMIA), Dallas, TX Nov. 2026.
Grover S, Mehta S, Stinson H, Tweedy E, Sannino J, Bernstein M, Dinsick L, Nishisaki A, Tsui FR: PICU Aware: Real-time Situational Awareness Integrating Machine Learning Risk Prediction and Spatial Visualization in the Pediatric Intensive Care Unit. Annual Symposium, American Medical Informatics Association (AMIA), Dallas, TX Nov. 2026.
Tsui FR, Tweedy E, Ruiz V, Ryan ND, Barzilay R, Jones JD, Davis MF, Melhem N, Benton T, Young J, Brent D: Predicting Adolescent Suicide Attempts using PHQ-9 Modified for Teens and Structured Electronic Health Records. Annual Symposium, American Medical Informatics Association (AMIA), Dallas, TX Nov. 2026.
Ruiz VM, Asztalos IB, Silva LEV, Shi L, Iyer VM, Nash D, Vetter VL, Tsui FR: pedQTNet: A Deep Learning Approach to Estimate Corrected QT Intervals from Multi-Lead Conventional ECG Waveforms in Pediatric Patients. Journal of Medical Systems. Springer Nature, June 2026 Notes: In Press (10.1007/s10916-026-02386-1).
Tweedy E, Mehta S, Mai MCV, Ruiz V, Shi L, Shaeffer GP, Nishisaki A, Muthu N, Tsui FR: Early prediction of unplanned critical care transfers in children using EHR-based ensemble machine learning. Journal of American Medical Informatics Open June 2026 Notes: 10.1093/jamiaopen/ooag105, In Press.
Mehta S, Tweedy E, Shi H, Ruiz VM, Morgan R, Sutton RM, Nishisaki A, Tsui RT: Machine learning-based prediction of critical deterioration in the pediatric intensive care unit. Critical Care Explorations 8(4): e1397, April 2026 Notes: DOI: 10.1097/CCE.0000000000001397.
Guan H, Tsui FR, Hsueh S, and Zhoua L: (Chapter 9) Bridging Theory and Practice: A Unified Framework for Evaluating AI in Healthcare and Biomedicine. Evaluating AI in Healthcare and Biomedicine: Foundations for Evidence-Based Decision Making in the Digital Age. Cresswell K, Prgomet M, and Weicken E (eds.). Springer Nature, March 2026 Notes: In presss.
Han S, Shi L, Kingsbury P, and Tsui FR: Enhanced Entity Matching between PubMed Authors and Research Institute’s Employees using Machine Learning. IEEE Access 13: 214803-214812, December 2025 Notes: DOI: 10.1109/access.2025.3642124.
Paul BT, Greeno C, Ryan ND, Tsui FR, Gibbons RD, Porta G, Joiner T, Brent D: A Prospective Examination of the Predictive Validity of Three Transdiagnostic Assessments of Risk for Suicidal Behavior: Psychache, the Interpersonal Theory of Suicide, and Reasons for Living. Journal of the American Academy of Child & Adolescent Psychiatry (JAACAP) November 2025 Notes: https://doi.org/10.1016/j.jaac.2025.11.010.