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Ensure that you are addressing any barriers


When a healthcare organization does all of the process, it learns. All organizations learn, but do they learn quickly enough to outgrow the industry levels? Never before has health care had to learn to respond to change faster than today. And to be a learning health care organization that flourishes, the analytic process must be repeatable and scalable with long-term, sustained executive commitment. Like any other organizational strategy designed to deliver significant results, analytics requires a major commitment to achieve success.


In the past, organizations have often taken tactical approaches to analytics focused on specific projects. While this approach can add limited value, you must have a strategic analytics plan to create broader organizational value. You need a master plan to make sure the tactical steps come together to create a bigger picture of analytical excellence to deliver value.


In a very real sense, analytics lives at the intersection between operational systems (EMRs, supply chain, care management, qual ity, etc. ) and productivity systems (Microsoft Office, Excel, PowerPoint, etc.). Before the adoption of strategic analytics, executives often thought of analytics as a set of discrete capa¬bilities without much thought to the larger analytic process. Today, organizations that are


strategically approaching analytics have understood that the steps in the analytic process are interconnected, and the lack of integration can significantly affect the degree of manual work – and thus the overall organizational value. They have recognized the need to implement their analytics environment as an integrated platform that can interact with both their operational and productivity platforms – i.e., an analytics platform.


An analytics platform, like operational and productivity platforms, provides an integrated environment that will support the entire


analytic process from managing data and discovering insight to monitoring the results. The platform must maximize the productivity of your analytics team, empower business users, easily grow and be supportable by your IT team (if and where there is dependency on IT). Also, it must easily interoperate with the operational and productivity platforms throughout the analytic process.


Vol. 5 Issue 4 Aug 2016


HOSPITAL & HEALTHCARE MANAGEMENT www.hhmglobal.com


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