Research Electronic Data Capture (REDCap)
REDCap is a secure web platform for building and managing online databases and surveys. REDCap’s streamlined process for rapidly creating and designing projects offers a vast array of tools that can be tailored to virtually any data collection strategy.
REDCap provides automated export procedures for seamless data downloads to Excel and common statistical packages (SPSS, SAS, Stata, R), as well as a built-in project calendar, a scheduling module, ad hoc reporting tools, and advanced features, such as branching logic, file uploading, and calculated fields.
Learn more about REDCap by watching a brief summary video (4 min). If you would like to view other quick video tutorials of REDCap in action and an overview of its features, please see the Training Resources page.
NOTICE: If you are collecting data for the purposes of human subjects research, review and approval of the project are required by your Institutional Review Board.
If you require assistance or have any questions about REDCap, please contact Parya Zareie (if working at UTHSC) or Manasa Mallampaty (if working at Le Bonheur).
UTHSC is a Covered Entity under HIPAA and conducts research governed by federal and state laws and regulations. As such, UTHSC has active programs to ensure compliance with these statutes. Members of the Center for Biomedical Informatics, Information Technology Services and UT Office of Research Compliance help ensure that data are accessed under safe and compliant conditions.
Cerner Health Facts
CBMI is now able to provide UTHSC researchers and affiliates access to the CERNER Health Facts® (HF) database. Since 2000, CERNER Health Facts® database has captured and stored de-identified, longitudinal electronic health record (EHR) patient data, aggregated and organized to facilitate analyses and reporting – it currently contains data on almost 50 million patients and almost 300 million encounters. The de-identified database includes data on patient demographics, encounters, diagnoses, prescriptions, procedures, laboratory tests, locations of services/patients (e.g., clinic, ED, ICU, etc.) and hospital information, and billing. HF can be used to track a drugs or device’s usage across diagnoses and major procedures, as well as by geographic region and hospital type, or researchers can use it to study practice patterns, treatments, and outcomes.