DATA DESCRIPTION
Dataset Overview
Datasets are the most important resources we have gained and maintained. Different datasets have various subjects, features and outcomes. Understand the datasets by reading the datasets descriptions, data dictionaries and data workflows will always be the first step to start the research.
Dataset Statistics
https://prisma-presearch.github.io/ic3-online-documentation/docs/category/datasetsPrismaP Data Architecture Flow
Datasets Workflow
IC3 data core takes the responsibility to manage the data collected from UF-IDR(Integrated Data Registry). All data will be processed and stored with below brief workflow.
Researchers are recommended to query the structured databases and download the sub-cohort for each project. Please feel free to contact with IC3 data core about any datasets problems.
Datasets Introduction
Retrospective temporal dataset for adult patients who underwent inpatient surgical procedure at UFH between 1/1/2012 and 10/15/2020.
Key Information
Dataset Introduction
The SDOH database serves as a source for the following projects:
Datasets Introduction
Inpatient database (UF Chorus Databank) is a huge dataset which includes all related data for Inpatient encounters from 2012-2028 from all sites of UF Health Shands. The databank covers various types of data. EHR (Electronic Health Record) data Notes data (clinical notes, discharge summary, etc.) Image data (DICOM format) Chest X-ray CT scans MRI and Etc Waveform data (Vital signals, ECG, EEG, etc.)
Key Information
Data Access
The EHR and Notes data are stored in a relational database (SQL server). To access the database, you need to be in the UF Health Network. Please check Tutorials to get the details about database access.
EHR Data
EHR data is cleaned and stored in a relational database(SQL server) with OMOP CDM format. Please check OMOP CDM for more details about the data format. The Inpatient database serves as a source for the following projects CHoRUS JAX Digital Twin