REDCap is a mature, secure web application for building and managing online surveys and databases. Using REDCap's stream-lined process for rapidly developing projects, you may create and design projects using 1) the online method from your web browser using the Online Designer; and/or 2) the offline method by constructing a 'data dictionary' template file in Microsoft Excel, which can be later uploaded into REDCap. Both surveys and databases (or a mixture of the two) can be built using these methods. This work is funded by grant UL1-TR-001857 from NIH.
Centers, Labs and Projects
RODS—Real-time Outbreak and Disease Surveillance LaboratoryThe RODS Laboratory is a biosurveillance research laboratory at the University of Pittsburgh, Department of Biomedical Informatics. We are the home of the National Retail Data Monitor (NRDM), Pennsylvania RODS and the Real-time and Outbreak Surveillance Software.RODS Web Site
The Vis Lab
The Vis Lab is focused on the application of artificial intelligence and machine learning to problems in the Learning Health System (LHS) that include: 1) development of a learning Electronic Medical Record (LEMR) system, 2) precision medicine and personalized modeling, 3) reuse of Electronic Medical Record (EMR) data for clinical, translational, and informatics research, 4) data mining and causal discovery from biomedical data, and 5) automated visual analytics. The Vis Lab Website
TIES Cancer Research Network (TCRN)
The Text Information Extraction System (TIES) Cancer Research Network is a federated network of clinical reports and biospecimen registry to support and facilitate basic science, clinical, and translational research in cancer. TIES uses a sophisticated concept based search to retrieve pathology and radiology reports containing concepts of interest. Plans include enabling virtual slides and tissue microarray creation. The current participants in the network are University of Pittsburgh, University of Pennsylvania, Augusta University, Roswell Park Cancer Institute, Thomas Jefferson University and Stony Brook University. This work is funded by grant U24 CA180921 from NCI, NIH.
The purpose of the TRanslational Informatics Applied to Drug Safety(TRIADS) lab is to conduct research at the intersection of informatics, pharmacoepidemiology, personalized medicine, and comparative effectiveness to improve medication safety for older adults. Current projects include: * Comparing the effectiveness personalized medication therapy with standard of care in older adults with numerous chronic conditions * The dynamic enhancement of drug product labels through Semantic Web technologies * Active monitoring of adverse event risk in patients exposed to pharmacokinetic drug-drug interactions * Semantic modeling of pharmacogenomics statements to support decisions made by pharmacists, clinicians, and patient Please e-mail Dr. Richard Boyce for more information or if you would like to attend TRIADS lab meetings.