The Informatics Program develop and deploys informatics and computational solutions to facilitate research collaboration, clinical trial information management, and data sharing across the Hub, CTSA Network, and other research networks. The program also increase informatics and computational competencies through training and consultation.
For University of Miami investigators and their study teams to perform queries, capture and store data and collaborate.
URIDE is a secure, web-based program that’s lets users quickly explore de-identified patient data from UChart. This large-scale data research tool can be used for:
- study design
- feasibility analysis
- cohort identification
- statistics on UHealth patient population for grant submissions
- or other applications in which population assessments need to be conducted
EPIC SlicerDicer is UChart’s self-service reporting tool. It provides intuitive and customizable data exploration abilities to sift through large populations of patients, enabling analysis of trends in patients and identification of patient cohorts for research purposes. Slicer Dicer users can also export patient details to Secure Workbench from searches that include their own patients.
The Secure Workbench provides a virtual environment whereby University of Miami faculty and staff can analyze clinical and research identified or de-identified data in a secure system. The Secure Workbench is pre-loaded with analytical and mathematical applications such as SAS, Excel, MATLAB, R Studio, Minitab, and Maple. Access to the Internet is restricted to sites related to the applications installed. Only Secure Workbench Administrators and the Office of Privacy and Data Security’s Data Broker have the capability and are permitted to move data in and out of the Secure Workbench. The Workbench servers are hosted by the University Miami Information Technology Department.
To request access and assistance, e-mail firstname.lastname@example.org
REDCap – Research Electronic Data Capture
REDCap is an application that allows users to collect research data, build databases and manage online surveys quickly and through secure web authentication from your browser. No extra software is required.
Research IT administers project creation, user account management, and movement of projects from development to production.
OneFlorida Front Door
The Miami CTSI is a proud member of the OneFlorida Research Consortium, which allows its investigators to utilize the OneFlorida research infrastructure and services through its access point called Front Door. From here, researchers can submit a prep-to-research data query, which helps researchers formulate hypotheses and identify trends within targeted populations, or apply to utilize the consortium’s practice-based research network, central IRB and more.
Run by Elsevier’s Pure application, it helps you identify key researchers at your institution and suggests networking possibilities to facilitate collaboration.
The University Office of Privacy & Data Security, in conjunction with UHealth IT, provides services that can de-identify clinical data sets. All direct identifiers such as name, social security number, medical record number, email address etc. must still be removed or masked.
- More in-depth about the service
- Questions about the service or process should be sent to email@example.com
- Initiate a service request through Service Now System
Research Information Technology
Research IT develops and supports technology solutions across the research spectrum from administrative to clinical research applications, including data informatics & analytics, vendor solutions reviews and implementation, research system interfaces, research mission initiatives and compliance. Visit the website to learn about all the applications and systems available to UM investigators.
Center for Computational Science
The UM Center for Computational Science is a University-wide initiative designed to catalyze transdisciplinary research in science and engineering using cutting-edge software, hardware and expertise. CCS is organized around 9 focus areas, which include:
- Climate & Environmental Hazards
- Computational Biology & Bioinformatics
- Drug Discovery
- Big Data Analytics & Data Mining
- Social Systems Informatics
- Smart Cities
- Advanced Computing
- Software Engineering
CCS offers free courses, lectures and workshops on using advanced computing to examine data and solve problems. Visit ccs.miami.edu
Education & Training
Center for Computational Science
Upcoming workshops, lectures, seminars and conferences.
David Seo, M.D, MPH
Nick Tsinoremas, Ph.D.
Richard Bookman, PhD