A Formula for Successful Data Integration in Healthcare

Posted by Christian Franklin

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3/14/12 9:21 AM

A formula for successful data integration in Healthcare looks like this:

Clean Data + Governance x DW (Analytics + BI)2

Okay, so I am not a math major nor do I pretend to be inventing a new formula for data Integration in Healthcare. However, I am a good listener, observer, and solutions professional. Healthcare and data integration have been linked since the HITECH and ARRA initiatives were launched. This is not saying that these acts started this trend, but they sure amped it up for urgency. In order for successful data integration to occur there must be a core set of principles and rules that are not negotiable. The first is to ensure that data governance is in place as a governing factor while cleaning organization data. The rules around governance will drive the set of standards, data parameters, security, access, and integration. This governance model will enable an organization to extend its intellectual property, its core data assets, across multiple internal and external avenues to drive efficiencies and sustain revenues. The ability to do a deep dive assessment into how data is transacted, accessed, coded, virtualized and structured will facilitate a culture of awareness on how the organization is doing both good and bad. Once this knowledge is identified, standards and governance are implemented, and actionable changes are put into place, the organization can then extend that data into key tools to leverage and extend services. These services for healthcare include patient-centric tools such as predictive analytics, core analytics, data warehousing tools, business intelligence tools, decision support tools and revenue sustaining reporting to measure and guide success. Tools that will drive data integration include such examples as Vendor Neutral Archiving (VNA) which from an infrastructure standpoint drives storage consolidation and server virtualization but the true benefit comes from the integration from a patient-centric focus on access to a patients “ology” department images from the EMR. Additional data integration brings a universal viewer for these images regardless of the access methodology along with a worklist or workflow integration solution. This is just one key example, others can include case management solutions, predictive care analytics, and community wide referral solutions that can help benefit hospitals to reduce the amount of hospital re-admissions. Clean data with governance will drive a true 360˚ view of a patient and organization!

Topics: Analytics, Data Warehouse, Healthcare