Steven Gregor, Microsoft Business Intelligence Consultant at Perficient, has been working with a client to help reduce readmission rates, a key component of the Affordable Care Act. Often times healthcare organizations have a difficult time analyzing readmission data because it is located in multiple systems. The use of business intelligence tools allows data to be filtered and analyzed to help reduce re-admissions and improve quality of care.
One way to drive such a reduction strategy is to enable analysts and providers with business intelligence tools that put various re-admissions metrics at their fingertips. Additional value is garnered when those metrics can be filtered, sliced, diced and compared against a number of useful dimensional attributes. Developing and automating such tools helps business users avoid having to write monotonous queries, piece together disparate data from various sources, and manually compile things like month end readmission rates.
In his post, Steven explains the process he followed and the solutions implemented to help the client analyze their re-admissions data. You can read his full post here.