Description
The University of Chicago Medicine (UCM) has created an in-house enterprise data warehousing platform that will be the single source of truth for clinical, operational and research data. Additionally, UCM has designed the cross-organizational governance structures and operational processes to produce and apply data standards, data quality tools and availability of high-fidelity, high-complexity data to drive insight. This platform aims to reduce the pre-processing burden on data scientists and report developers to increase organizational value.
Describe the new knowledge and additional skills the participant will gain after attending your presentation.: The main outcomes of the pilot project are as follows:
To build a scalable infrastructure that can support data growth and hospital system expansion.
Develop a data model that is designed to integrate clinical and operational data.
Develop a framework that will support first of its kind data standardization through reference data management, metric management and data quality monitoring/anomaly detection.
Establish a cross-functional governance framework and processes that will enable the organization to leverage the technology and platform to realize enhanced data output productivity and cost savings.
Authors:
Sarah Oraby (Presenter)
University of Chicago Medical Center
Raj Iyer, University of Chicago Medical Center
Presentation Materials: