Biomedical Informatics Research by Shyam Visweswaran, MD, PhD
Shyam Visweswaran, MD, PhD, an Associate Professor of Biomedical Informatics, focuses on various aspects of the Learning Health System, Mobile Health Data, Molecular and Research Data, Data Mining, Causal Discovery, and the Reuse of EMR Data. His research includes improving EMRs, personalized modeling for precision medicine, and data mining for causal discovery. Collaborations with experts in various fields enhance the impact of his work, contributing to advancements in healthcare informatics.
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Shyam Visweswaran, MD, PhD Associate Professor of Biomedical Informatics Director of Clinical Informatics Director, Center for Clinical Research Informatics (CCRI) Director of Biomedical Informatics Core, Clinical and Translational Science Institute (CTSI) www.thevislab.com shv3@pitt.edu
Research focuses on different aspects of the Learning Health System Mobile Health Data Molecular and Research Data 3. Data Mining & Causal Discovery 4. Reuse of EMR Data Extract, transform, and assemble Electronic Medical Records The Learning Health System Integrated Research Data Clinical Decision Support Apply best evidence for each patient 1. Learning Electronic Medical Record System 2. Personalized Modeling & Precision Medicine Patient Decision Support
1. Learning Electronic Medical Record System Improve EMRs to intelligently display the right data, at the right time using learning components that adapt both to the physician and the patient s condition. Funding: NLM R01 LM012095 Collaborators: Gregory F. Cooper, Harry Hochheiser, Milos Hauskrecht (Computer Science), Gilles Clermont (Critical Care Medicine) and Dean Sittig (University of Texas)
2. Personalized Modeling & Precision Medicine Personalized modeling facilitates precision medicine by enabling: 1) more accurate prediction of clinical outcomes, 2) discovery of disease subtypes, and 3) identification of factors that are specific to the current individual. Collaborators: Gregory F. Cooper, David Whitcomb (Gastroenterology & Hepatology), Adriana Johnson (MSTP trainee), Lorne Walker (Pediatrics Infectious Diseases), Patrick O'Halloran (Staff)
2. Personalized Modeling & Precision Medicine The All of Us Pennsylvania Research Program will enroll 120,000 participants for the All of Us Research Program and will collect EHR data and bio specimens. Funding: UG3 OD023153 Collaborators: Steven E. Reis (CTSI) and Oscar Marroquin (Medicine)
3. Data Mining & Causal Discovery Develop algorithms to analyze biomedical data to find causal relationships that are novel, significant and valid. www.ccd.pitt.edu Funding: U54 HG008540 Collaborators: Gregory F. Cooper and Jeremy Espino
4. Reuse of EMR Data Enable reuse of Electronic Medical Record (EMR) data for clinical, translational, and informatics research. Pitt EMR data warehouse (Neptune) NCATS-funded i2b2 data repository for Accrual of patients to Clinical Trials (ACT) network PCORI-funded PaTH clinical data research network (CDRN) Funding: NCATS (NIH) UL1 TR000005 CATS (NIH) UL1 TR000005-09S1 PCORI CDRN 1306-04912 Collaborators: Steven E. Reis (CTSI), Michael J. Becich and Jonathan Silverstein (CRIO)
