Indiana University Health Unlocks Data From Hospitals And Physicians With 90-Day Implementation Of Health Catalyst Data Warehouse
14-billion-line trove of clinical, financial and patient data to accelerate the use of analytics for quality improvement and cost containment
Health Catalyst announced recently that Indiana University Health (IU Health), Indiana's most comprehensive healthcare system, used the Health Catalyst Late-Binding Data Warehouse to create a centralized repository of core clinical, financial and patient satisfaction information from across its network in an unprecedented 90 days.
IU Health has been named among the best healthcare systems in
The new 14-billion-row Health Catalyst Late-Binding Data Warehouse - representing over10 years of clinical, financial, and patient satisfaction data - is a critical first step toward IU Health's goal of using data from its Cerner electronic health record (EHR) and other core applications to improve the quality of patient care while driving down its cost. "IU Healthhad previously struggled to create a data warehouse that would serve as the organization's source of truth," said Bill McConnell, the health system's Senior Vice President and Chief Information Officer.
"Health Catalyst guaranteed they could deliver a useful and useable enterprise data warehouse in 90 days and they delivered," McConnell said. "To my knowledge, the scope of this accomplishment is unprecedented in the industry."
Health Catalyst's proven, agile data warehouse platform uses a late-binding™ bus architecture to dramatically reduce the time to value for deployment of an enterprise data warehouse (EDW). The typical approach to development of an EDW requires months or years to map data to complex data models. The Health Catalyst Late-Binding™ Data Warehouse can be deployed in weeks and months and is much more adaptable and agile to changes after deployment, as analytic use cases in healthcare change and become more complex.
By analyzing and comparing clinical, financial and patient satisfaction data, Health Catalyst enables health systems to solve one of the thorniest problems with the transition to value-based reimbursement - predicting the impact of quality interventions on cost and patient satisfaction.
"To thrive in our evolving value-based healthcare system, health systems need to quickly analyze the huge volumes of data they produce, identify opportunities for quality improvement and cost savings, and then enable their caregivers to take appropriate action," said Dan Burton, Chief Executive Officer of Health Catalyst. "We are thrilled that our partnership with IU Health, a leader in the development of health information technologies, has given us the opportunity to build the foundation for that transformation."
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Source: Health Catalyst