How An Enterprise Data Warehouse ( Edw ) Can Help Manage Their Population Of High Risk Patients?
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High-risk patient populations are generally small, however, they account for a large portion of healthcare costs. For example, the costs to Medicare for treating heart failure (HF) exceeds $17 billion a year, with readmissions contributing significantly to the cost (Health Catalyst, 2016). These costs are unsustainable, which why the US healthcare system is beginning to shift towards alternative payment structures like value-based reimbursement (VBR). To remain successful in this changing landscape, healthcare organizations (HCOs) will need to improve how they manage high-risk patient populations. Health information technology could be a tool that helps. This paper explores the benefits of how an enterprise data warehouse (EDW) can help HCOs manage their population of high-risk patients. This paper also recommends the type of EDW best suited to handle complex healthcare data and provides a framework for a phased implementation
Keywords: enterprise data warehouse, EDW, high-risk patients, population health Implementation of an Enterprise Data Warehouse to Help Identify and Manage High-Risk Patient Populations
Defining, identifying, and managing high-risk patient populations can be a very difficult task for healthcare organizations (HCOs). Should HCOs look at age, length of problem list, number of medications, number or specialist or subspecialist a patient sees, or number of recent hospital admission (Pelzman, 2014)? Whatever method HCOs decide to use,