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Data is a valuable asset that must be nurtured, managed, and protected. A sound enterprise analytics strategy establishes a logical framework that allows data from disparate sources to combine together appropriately to support enterprise-wide information needs.This can span the spectrum from eMeasure calculation in support of regulatory reporting mandates to analytics highlighting opportunities for process efficiency to predictive algorithms identifying patients at risk for falls, ED visits, or non-compliance with a medication regimen.

A sound analytics strategy requires both the vision to understand the likely uses of the data in the future and the wisdom to plot a roadmap that will incrementally deliver value to the organization while minimizing risk – but moving ever closer to the vision. Encore works with you to create a roadmap that reflects your goals and your current environment, and plots a pragmatic path to get your organization from “here” to “there.”

Sound, reliable data doesn’t just happen – it all starts with strong data governance. From source (i.e., point of capture) to use (e.g., eMeasure), data governance helps ensure that a chain of trust is created so both the data producers and the data consumers are confident it is appropriately used and accurate for its purpose.Encore can help your organization establish data governance aligned with your organization’s guiding principles, decision style, and culture. We help you define both your initial focus of data governance and the path to mature the data governance structure to take on even more functionality.

Re-using data – taking it from its source of creation and putting it someplace else – requires a complete understanding of the “health” of the data. Inconsistencies in how data is captured create inaccuracies in measurement, analytics, and reporting.To ensure that the data landing in a secondary location is “as expected,” an organization needs to profile and evaluate that data before moving it. Encore’s Data Quality Assessment provides both quantitative and qualitative analysis of your data, and assigns a reliability score. This analysis helps your organization decide which data can move, which can’t – and why.

Linked with appropriate enterprise-wide data governance and ongoing data management processes, Encore’s Data Quality Assessment will set any organization on the fast track to deriving actionable information from the data it collects.

The single biggest source of enterprise data is the EHR; throughout EHR implementation and optimization, keeping in mind the secondary use of the data captured as a by-product of care delivery should factor in to decision making. However, many EHRs are implemented without that reuse in mind. Encore’s Workflow Redesign services can help your organization balance the need for workflow to support ease-of-use with the need to make data available for reusability.After you have assessed your data to determine which elements require clean-up and standardization, we help you identify where each data element should be captured in which source system. This determination requires a multi-disciplinary approach to create a “data chain of trust” and then to create confidence in the data. Once these data elements are captured in consistent way, they can become part of your data inventory.