Wed, 11/28/2018

According to, "…the use of data analytics could help save more than $300 billion in U.S. healthcare, apart from making information flow transparent and creating a value chain in healthcare." [1]

Sounds positive, right?

No matter how useful data analytics are, it’s important to realize that they don’t just pop up from your existing healthcare data. Your analytics are only as good as the data that goes into them. And your data is located everywhere: clinical and claims systems, HR and financial applications, and third-party sources. Healthcare organizations that struggle with disparate information assets and siloed processes must find a way to make data “fit for purpose” through aggregation, standardization, and enrichment.

Once information is collected and aggregated from various sources, healthcare organizations must ensure its accuracy, completeness, and consistency. They need a plan and supporting solutions that promote sound data management. A unified platform for integrating data, managing its quality, and presenting it through intuitive views will greatly increase the productivity of informatics professionals, and will provide the insight needed to promote better patient care and improve outcomes.

An effective IT strategy can assist in the development of better care management programs that eliminate gaps in care and enhance coordination across providers – which is the benefit of population health management. Healthcare research firm KLAS developed six layers of population health IT, which is a framework that healthcare organizations can use to create comprehensive and robust technology environments that boost patient engagement and improve cost-efficiency, among others.

Information Builders supports these six layers with a single unified platform for data management and healthcare analytics. Organizations can then better manage population health while obtaining complete views of the entire patient journey.

To find out more about the six layers outlined by KLAS and how enterprise success requires both a solid data management foundation and a robust analytics platform, read our white paper, KLAS’ Key Layers of Population Healthavailable here for a free download.