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Biography

Institution of Highest Degree:
University of Pittsburgh

Dr. Tsui's research interest includes Clinical informatics, public health informatics, biosurveillance, machine learning, (big) data mining, artificial intelligence, natural language processing, mobile healthcare, precision medicine, data warehouse, time series analysis, signal processing, and large real-time production systems. He has been working in medical informatics for more than 18 years. Dr. Tsui has produced over 100 peer-reviewed publications and his publications have been actively cited (Google h-index: 39). Dr. Tsui has extensive knowledge and experience building large informatics production systems. At the University of Pittsburgh, he received his PhD in Electrical Engineering, premed training, and postdoctoral training in medical informatics. He has built several large real-time informatics production systems: (1) Clinical Event Monitor System (CLEM) that serves as a decision support system and reports notifiable diseases at University of Pittsburgh Medical Center (UPMC) in real-time, (2) Realtime Outbreak and Disease Surveillance System (RODS) that collects and monitors emergency department visits at UPMC, and (3) National Retail Data Monitor (NRDM) that collects and monitors over-the-counter medication sales from over 32,000 retail stores across the nation. Recently, he has been working with Children's Hospital of Pittsburgh of UPMC to build his 4th production system SHARP, a realtime decision support system that helps clinicians and patient care teams identify and manage patients at high-risk for 30-day readmission.

Research Interests

Biosurveillance/Public Health Surveillance
Grid Computing
Bayesian Networks
Temporal and Spatial Algorithms for Biosurveillance
Clinical Decision Support Systems
Hospital Information Systems
Database Management Systems

Recent Publications

Ye Y, Wagner MM, Cooper GF, Ferraro JP, Su H, Gesteland PH, Haug PJ, Millett NE, Aronis JM, Nowalk AJ, Ruiz VM, López Pineda A, Shi L, Van Bree R, Ginter T, Tsui F. A study of the transferability of influenza case detection systems between two large healthcare systems. PLoS One (2017) Apr 5;12(4):e0174970. doi: 10.1371/journal.pone.0174970. eCollection 2017. PMID: 28380048 PMCID: PMC5381795

Jose D. Posada, Amie J. Barda, Lingyun Shi, Diyang Xue, Victor Ruiz, Pei-Han Kuan, Neal D. Ryan, Fuchiang (Rich) Tsui. Predictive Modeling for Classification of Positive Valence System Symptom Severity from Initial Psychiatric Evaluation Records, Journal of Biomedical Informatics, 29 May 2017, https://doi.org/10.1016/j.jbi.2017.05.019

Arturo López Pineda, Ye Ye, Shyam Visweswaran, Gregory F. Cooper, Michael M. Wagner, Fuchiang Rich Tsui. Comparison of Machine Learning Classifiers for Influenza Detection from Emergency Department Free-text Reports. Journal of Biomedical Informatics. Available online 16 September 2015, ISSN 1532-0464. PMID: 26385375 http://dx.doi.org/10.1016/j.jbi.2015.08.019.(http://www.sciencedirect.com/science/article/pii/S1532046415001872)

Cooper, G. F., Villamarin, R., Tsui, F.-C. (Rich), Millett, N., Espino, J. U., & Wagner, M. M. (2015). A Method for Detecting and Characterizing Outbreaks of Infectious Disease from Clinical Reports. Journal of Biomedical Informatics, 53, 15–26. http://doi.org/10.1016/j.jbi.2014.08.011 PMID: 25181466 PMCID: PMC4441330

Rexit R, Tsui FC, Espino JU, Chrysanthis PK, Wesaratchakit S, Ye Y. An analytics appliance for identifying (near) optimal over-the-counter medicine products as health indicators for influenza surveillance. J Manager Infor Systems. 2015;48:151-63.

Draper AJ, Ye Y, Ruiz VM, Patterson C, Urbach A, Palmer F, Wang S, Somboonna M, Tsui F.-C., Using laboratory data for prediction of 30-day hospital readmission of pediatric seizure patients, Conference Proceedings, American Medical Informatics Association, Washington DC, Nov. 2014 (Distinguished award)

Tsui F-C, Adaptive Hospital Readmission Prediction System (AHRPS), Innovation in Healthcare Technology 2014, Pittsburgh, Feb. 14, 2014

Ye Y, Tsui FR, Wagner M, Espino JU, Li Q.  Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers.  J Am Med Inform Assoc. 2014 Sept:21(5):815-823. (2014 Jan 9. doi: 10.1136/amiajnl-2013-001934. Epub ahead of print. PubMed PMID: 24406261.

Amin W, Tsui FC, Borromeo C, Chang CH, Espino JU, Ford D, Hwang W, Kapoor W, Lehmann H, Martich GD, Morton S, Paranjape A, Shirey W, Sorensen A, Becich MJ, Hess R. PaTH: towards a learning health system in the Mid-Atlantic region. J Am Med Inform Assoc.. 2014;21(4):63-6, PMID: 24821745 PMCID: PMC4078296

Last updated: August 4, 2017