REDCap

Research Electronic Data Capture (REDCap)

For Clinical Research Databasing we offer access to the internationally recognized Research Electronic Data Capture (REDCap) system. REDCap is flexible, easy to use and our instance is hosted here at UTHSC.

UTHSC-ORNL Center for Biomedical Informatics (CBMI) has licensed from Vanderbilt University the REDCap data capture and  management system. REDCap is an appropriate cost-effective system for projects requiring minimal CBMI effort for design, development or maintenance. REDCap is securely accessed via user-friendly and intuitive web-application and is used to collect, process and archive basic, clinical, and translational research data. The REDCap database is an encrypted instance of MySQL and is maintained in the UTHSC Information Technology Services (ITS) HIPAA Compliant server room. MySQL is an appropriate database for small to medium size projects with limited numbers of data collection forms, small registries and databases, and surveys.

To maintain HIPAA compliance each PI controls data access to the level of individual variables. Thus, a PI can allow an off-site collaborator access to certain data by providing access to only a de-identified or limited dataset.

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 insure 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.

 

Click here to request access to Redcap


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.

Click Here to request access to CHF Database