Clinical Data Warehouse - Data Overview
CDW Composition and Overlap
Available Data and MPI
Administrative data include billing codes, demographics, insurance status and similar information used for health care administration.
Clinical data include structured and unstructured data collected as part of routine care, but not necessarily used for administration (though these data may support administrative functions such as billing). Examples of clinical data include laboratory studies, medications, problems and clinical notes. Clinical data is composed of information from UT Physician's outpatient practice (currently Epic and previously Allscripts EHR), which are a subset of patients in the administrative set.
The set of administrative, clinical, and dental school records are linked by our enterprise Master Patient Index (eMPI).
Deduplication
To facilitate research across multiple data sources, we've implemented an eMPI (enterprise Master Patient Index) to give every patient a unique ID distinct from their local MRN.
This allows us to consolidate records of patients who may have been seen in different settings. It also identifies duplicate patient records, improving quality for clinicians. An MPI can prevent duplicate patient records by linking those with identical or nearly identical demographic data. This ensures a high quality of care.
The MPI database is updated nightly.
Total Number of Patients with Clinical Data
Current Data Sources
Epic Clarity
Clarity by Epic is the current health record system for UT Physicians. Epic contains data on patients seen in outpatient UTP clinics.
We also process hundreds of gigabytes of free-text clinical notes from medical records into a pipeline suitable for NLP research. Since 2004 we've collected over 30 million note events.
Historical Data Sources
BIG-ARC Posters
BIG-ARC Services and Data.
Biomedical Informatics Group - the Analytics Research Center. We are a service center at SBMI, and part of the national network of CTSA groups. Our vision is to transform clinical and translational research by improving communication and integrating disparate data sources, including clinical, laboratory, and administrative data. We offer services to researchers, and the clinical community, including enhanced subject recruiting, direct access to clinical data, PHI data management, and customized support for your research project.
GPC Learning Engagement Conference 2024
The Greater Plains Collaborative (GPC) is a network of fourteen leading medical centers in eight states committed to a shared vision of improving healthcare delivery through ongoing learning, adoption of evidence-based practices, and active research dissemination. It is one of the Clinical Research Networks (CRNs) in The National Patient-Center. Clinical Research Network (PCORnet), funded by Patient-Centered Outcomes Research Institute (PCORI) to focus on comparative effectiveness research.