Fuchiang (Rich) Tsui, PhD

Room 437L
5607 Baum Blvd.
Admin Support: 

Primary Appointment: 

Associate Professor, Department of Biomedical Informatics
Associate Professor of Intelligent Systems
Associate Professor of Bioengineering
Associate Professor of Clinical and Translational Science
Associate Director, RODS Laboratory
Biomedical Informatics Training Program Core Faculty, University of Pittsburgh School of Medicine
Peer-reviewed Publications: 
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/Scholarship Interests: 
Public Health Informatics; clinical informatics; Machine Learning; biosurveillance; artificial intelligence; natural language processing; (big) data mining; mobile healthcare; precision medicine; data warehouse; time series analysis; signal processing; large real-time production systems; Commerce; Thermometers
(Legend: Current Major/ Current Minor, Non-current Major/ Non-current Minor)
Honors & Awards: 
Innovation Award, University of Pittsburgh
Distinguished Poster Award in 2014 American Medical Informatics Association annual conference, Washington, DC (among 400+ posters)
Interviewed by Pittsburgh Business Times about my latest research work on hospital readmission reduction that could have strong impact to patient care and cost reduction (http://www.bizjournals.com/pittsburgh/print-edition/2013/11/22/analytic-tool-helps-docs-make-better.html)
Scientific achievement Award for Outstanding Research Articles in Biosurveillance, 2012 Annual International Society for Disease Surveillance: Expanding Collaborations to Chart a New Course in Public Health Surveillance (December 4-5, 2012, San Diego, California), International Society for Disease Surveillance
Invited meeting with the President of Taiwan (President Ma) at the Presidential Building; selected elites in public health surveillance field
Nomination for best paper, 2002 Annual Symposium for Computer Applications in Medical Care: Biomedical Informatics: One Discipline (November 9 - 13, San Antonio, TX), AMIA
Nomination for best paper, 1998 Annual Symp. for Computer Applications in Medical Care: A Paradigm Shift in Health Information Systems: Clinical Infrastructures for the 21st Century (Nov. 7-11), AMIA
Nomination for best paper, 1997Annual Symposium for Computer Applications in Medical Care: The Emergence of 'Internetable' Health Care. Systems That Really Work (October 25-29, Nashville, TN), AMIA
Grants & Contracts: 
09/2016 - 02/2018
Children's Hospital of Pittsburgh of UPMC Under agreement
C-WIN: Cardiac Intensive Care Unit Warning System
Role: PI (sole)
08/2016 - 07/2018
Richard King Mellon Foundation
Infant mortality prediction and intervention in Allegheny County
Role: PI (sole)
05/2015 - 04/2018
Local Foundation
System for Hospital Adaptive Readmission Prevention and Reduction (SHARP)
Role: PI (sole)
01/2015 - 01/2018
Coulter Foundation
Readmission technology development for Industrial applications
Role: PI (sole)
09/2014 - 08/2015
Pennsylvania Innovation Works
Post discharge monitoring through mobile application
Role: PI (sole)
07/2014 - 06/2016
NIH 5UL1 TR000005
University of Pittsburgh Clinical and Translational Science Institute
Role: Co-Investigator
02/2014 - 01/2015
First Gear, University of Pittsburgh N/A
Hospital Readmission Prediction
Role: PI (sole)
01/2014 - 06/2016
PaTH towards a Learning Health System for the Mid-Atlantic Region
Role: Co-Investigator
07/2013 - 06/2016
NIH/NLM 1 R01 LM011370
Probabilistic Disease Surveillance
Role: Co-Investigator
09/2008 - 09/2010
Centers for Disease Control and Prevention U38HK000063
PA-OH BIG: Building a Regional Biosurveillance Grid for Pennsylvania and Ohio
Role: Principal Investigator (sole)
05/2008 - 08/2009
Houston Department of Health and Human Services 460000897 (08-0672)
The Houston RODS System Expansion of Functionality
Role: Principal Investigator (sole)
01/2008 - 06/2011
Pennsylvania Department of Health SAP #40000012020
Pennsylvania (PA) Biosurveillance
Role: Co-Investigator
Teaching Activities: 
08/31/2015 - 12/19/2015 BIOINF - 2011 - 14178 FDS CLIN & PH INFORMATICS
08/31/2015 - 12/19/2015 BIOINF - 2120 - 19867 SYMBLC MTHS IN ARTFCL INTELGNC





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

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


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.  PMCID:PMC in Process: Available on 09/01/2015.

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

Lu S, Ye Y, Tsui FC, Liu X, Hwa R. Feature Selection for 30-Day Heart Failure Readmission Prediction Using Clinical Drug Data. NIPS workshop on Machine Learning for Clinical Data Analysis and Healthcare; 2013 Dec 10.

Lu S., Ye Y., Tsui F.-C., Su H., Rexit R., Wesaratchakit S., Hwa R., "Domain ontology-based feature reduction for high dimensional drug data and its application to 30-day heart failure readmission prediction," Collaborative Computing: Networking, Applications and Worksharing (Collaboratecom), 2013 9th International Conference Conference on, Austin, TX, 2013, pp. 478-484.

Villamarín R, Cooper G, Wagner M, Tsui FC, Espino JU. A method for estimating from thermometer sales the incidence of diseases that are symptomatically similar to influenza. Journal of Biomedical Informatics. 2013 Jun;46(3):444-57. PMID: 23501015 PMCID: PMC4609543

Pineda, A. L., Tsui, F.-C., Visweswaran, S., & Cooper, G. F. (2013). Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports. Online Journal of Public Health Informatics, 5(1), e41.

Liu TY, Sanders JL, Tsui FC, Espino JU, Dato VM, Suyama J. Association of over-the-counter pharmaceutical sales with influenza-like-illnesses to patient volume in an urgent care setting. PloS one. 2013;8(3):e59273. PMID: 23555647 PMCID: PMC3605458

M. Wagner et al., "A Decision-Theoretic Model of Disease Surveillance and Control and a Prototype Implementation for the Disease Influenza," Data Engineering Workshops (ICDEW), 2012 IEEE 28th International Conference on, Arlington, VA, 2012, pp. 49-54.
doi: 10.1109/ICDEW.2012.32