Fuchiang (Rich) Tsui, PhD

Research Interests: 

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 17 years. Dr. Tsui has produced over 80 peer-reviewed publications and his publications have been actively cited (Google h-index: 38). 

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.

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
Publications: 

Aronis JM, Millett NE, Wagner MM, Tsui F, Ye Y, Ferraro JP, Haug PJ, Gesteland PH, Cooper GF. A Bayesian system to detect and characterize overlapping outbreaks. J Biomed Inform. 2017 Sep;73:171-181. doi: 10.1016/j.jbi.2017.08.003. Epub 2017 Aug 7. PMID: 28797710. PMC5604259.

Ferraro JP, Ye Y, Gesteland PH, Haug PJ, Tsui F-C, Cooper GF, Van Bree R, Ginter T, Nowalk AJ, Wagner MM. The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance. Appl Clin Inform. 2017 May 31;8(2):560-580. doi:10.4338/ACI-2016-12-RA-0211. PubMed PMID: 28561130.

Posada JD, Barda AJ, Shi L, Xue D, Ruiz V, Kuan PH, Ryan ND, Tsui FR. Predictive Modeling for Classification of Positive Valence System Symptom Severity from Initial Psychiatric Evaluation Records. J Biomed Inform. 2017Nov; 75S:S94-S104. doi: 10.1016/j.jbi.2017.05.019. Epub 2017 May 29. PMID: 28571784. PMCID: PMC5705330. 

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

Tsui F, Ye Y, Ruiz V, Cooper GF, Wagner MM. Automated influenza case detection for public health surveillance and clinical diagnosis using dynamic influenza prevalence method. J Public Health (Oxf). 2017 Oct 20:1-8. doi: 10.1093/pubmed/fdx141. [Epub ahead of print]. PMID: 29059331.

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)

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.

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

Cooper GF, Villamarin R, Rich Tsui FC, Millett N, Espino JU, Wagner MM. A method for detecting and characterizing outbreaks of infectious disease from clinical reports. J Biomed Inform. 2015 Feb; 53:15-26.  doi: 10.1016/j.jbi.2014.08.011. Epub 2014 Aug 30.  PMID: 25181466. PMCID: PMC4441330.

López Pineda A, Ye Y, Visweswaran S, Cooper GF, Wagner MM, Tsui FR. Comparison of Machine Learning Classifiers for Influenza Detection from Emergency Department Free-text Reports. J Biomed Inform. 2015 Dec;58:60-69. doi: 10.1016/j.jbi.2015.08.019. Epub 2015 Sep 16. PMID: 26385375. PMCID: PMC4684714.

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 Sep-Oct; 21(5):815-23. doi: 10.1136/amiajnl-2013-001934. Epub 2014 Jan 9. PMID: 24406261. PMCID: PMC4147621.

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 doi: 10.1136/amiajnl-2014-002759. Epub 2014 May 12. PMID: 24821745. PMCID: PMC4078296.

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

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.

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.

Que, J., & Tsui, F.-C. (2012). Spatial and Temporal Algorithm Evaluation for Detecting Over-The-Counter Thermometer Sale Increases during 2009 H1N1 Pandemic. Online Journal of Public Health Informatics, 4(1), ojphi.v4i1.3915. http://doi.org/10.5210/ojphi.v4i1.3915 PMID: 23569624 PMCID: PMC3615801

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

Que, J., & Tsui, F.-C. (2011). Rank-based spatial clustering: an algorithm for rapid outbreak detection. Journal of the American Medical Informatics Association : JAMIA, 18(3), 218–224. http://doi.org/10.1136/amiajnl-2011-000137 PMID: 21486881 PMCID: PMC3078668

Rexit R, Tsui FC, Espino JU, Wesaratchakit S, Ye Y, Chrysanthis PK. Using a distributed search engine to identify optimal product sets for use in an outbreak detection system. International Workshop on Collaborative Big Data (C-Big 2012); 2012 Oct 14 - 17; Pittsburgh, PA. 2014 Oct. 560-66.

Wu TS, Shih FY, Yen MY, Wu JS, Lu SW, Chang KC, Hsiung C, Chou JH, Chu YT, Chang H, Chiu CH, Tsui FCWagner MM, Su IJ, King CC. Establishing a nationwide emergency department-based syndromic surveillance system for better public health responses in Taiwan. BMC Public Health. 2008 Jan 18;8:18.  doi: 10.1186/1471-2458-8-18.  PMID: 18201388. PMCID:PMC2249581.

Tsai M-C, Tsui F-C, and Wagner MM. An Evaluation of Biosurveillance Grid—Dynamic Algorithm Distribution Across Multiple Computer Nodes. AMIA Annu Symp Proc. 2007:746-750. PMID: 18693936.  PMCID:PMC2655926.

Wagner MM, Robinson JM, Tsui FC, Espino JU, Hogan WR. Design of a national retail data monitor for public health surveillance. J Am Med Inform Assoc. 2003 Sep-Oct; 10(5):409-18. Epub 2003 Jun 4. PMID: 12807802. PMCID: PMC212777

Gesteland PH, Gardner RM, Tsui FC, Espino JU, Rolfs RT, James BC, Chapman WW, Moore AW, Wagner MM. Automated syndromic surveillance for the 2002 Winter Olympics. J Amer Med Inform Assoc. 2003, 10(6): 547-54. PMID: 12925547. PMCID: PMC264432

Tsui FC, Espino JU, Wagner MM, Gesteland P, Ivanov O, Olszewski RT, Liu Z, Zeng X, Chapman W, Wong WK, Moore A. (2002). Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System. Proceedings of the AMIA Symposium, 815–819. PMID: 12463938 PMCID: PMC2244477

Wagner MM, Tsui FC, Espino JU, Dato VM, Sittig DF, Caruana RA, McGinnis LF, Deerfield DW, Druzdzel MJ, Fridsma DB. The emerging science of very early detection of disease outbreaks. J Public Health Manag Pract. 2001 Nov;7(6):51-9. PMID: 11710168

Tsui FC, Wagner MM, Dato V, Chang CC. Value of ICD-9 coded chief complaints for detection of epidemics. Proceedings / AMIA ... Annual Symposium. AMIA Symposium. 2001;711-5. PMID: 11825278 PMCID: PMC2243339

Tsui FC, Wagner MM, Wilbright W, Tse A, Hogan WR. A feasibility study of two methods for end-user configuration of a clinical event monitor. Proceedings / AMIA ... Annual Symposium. AMIA Symposium. 1999;975-8.  PMID: 10566506 PMCID: PMC2232807

Tsui FC, Li C, Sun M, Sclabassi RJ. "Acquiring, Modeling and Predicting Intracranial Pressure in the Intensive Care Unit,". Biomedical Engineering, Applications, Basis, and Communications. 1996;8(6):566-578.

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: 
100
Biography
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: 
2016
Innovation Award, University of Pittsburgh
2014
Distinguished Poster Award in 2014 American Medical Informatics Association annual conference, Washington, DC (among 400+ posters)
2013
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)
2012
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
2010
Invited meeting with the President of Taiwan (President Ma) at the Presidential Building; selected elites in public health surveillance field
2002
Nomination for best paper, 2002 Annual Symposium for Computer Applications in Medical Care: Biomedical Informatics: One Discipline (November 9 - 13, San Antonio, TX), AMIA
1998
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
1997
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
PCORI
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
2008
1U38HK000063-01
PA-OH BIG: BUILDING A REGIONAL BIOSURVEILLANCE GRID FOR PENNSYLVANIA AND OHIO
 
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

Patent:

1. SYSTEM FOR HOSPITAL ADAPTIVE READMISSION PREDICTION AND MANAGEMENT (SHARP), Pub. No.: US 2015/0081328 A1, Pub. Date: Mar. 19, 2015

 

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