Category: Healthcare Analytics

Benefits of Health Information Exchanges for Quality Reporting and Value-Based Care

To perform well in value-based care, healthcare providers must report improvements in quality, cost and utilization measures that align with their payers’ expectations. When it comes to providing data, analytics and technological capabilities for reporting these measures, health information exchanges (HIEs) offer several advantages over other data aggregators: Greater Efficiency HIEs provide clinical data, which…
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Interoperability Alert: Aligning to ONC’s Draft USCDI v2

Shifts in standards can lead to transformative shifts in interoperability. There are plenty of bumps on the road to interoperability, but the United States Core Data for Interoperability (USCDI) is a pioneering vocabulary standard that addresses one of the more significant pain points to seamless data exchange. While there are well defined data exchange standards…
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Infographic: The Data Acquisition Guide for Quality Analytics

It might surprise you to learn that one of the main obstacles to building quality analytics is data access. This is why being able to ingest various formats is so important. Regardless of the format, if we can get our hands on the data, we can help you do something valuable with it. Below is…
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Infographic: How is Data-Driven Leadership Different?

Most leaders understand the importance of using data and analytics to achieve operational excellence. From empowering employees, reducing inefficiencies and improving outcomes, using data seems like a no-brainer, yet few have successfully implemented this type of culture. Check out our infographic below for an overview of how data-driven leadership is different from traditional leadership.

Moving Beyond Condition Cohorts – Risk Stratification Analytics Part 5

Many providers and care teams head down population health paths by targeting conventional, condition-based cohorts.  Yet, research has proven that the clustering of morbidity is a better predictor of health care service resource use than the presence of specific diseases. Condition cohorts are one approach. Patient-centered morbidity cohorts are another. When combined, the result is…
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