Why is healthcare data important? According to hitconsultant.net, “…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. “
Sounds like an opportunity, 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 data analytics or "healthcare informatics" solution is only as good as the data that goes into it. And your data is located everywhere: clinical and claims systems, HR and financial applications, and third-party sources. And it's probably formatted just a little bit differently in each place. Healthcare organizations that struggle with disparate information assets and siloed processes must find a way to make all of their 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 healthcare 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 has 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 OmniHealthData, a single unified platform for health information management and healthcare informatics. Organizations can then better manage population health while obtaining complete and accurate 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 new report, “KLAS’ Key Layers of Population Health” which is available now for download.