Category: Unstructured Data

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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It is common practice for those looking to improve the health of a population to first start by categorizing patients into different condition categories. One of the more common approaches is to segment a population into condition cohorts, especially to identify those conditions that are of high prevalence, higher cost and commonly linked to care…
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Standardizing data for seamless information exchange in Healthcare Clinicians across the country gather patient data using a wide spectrum of digital interfaces. These user interfaces are adapted to suit their local preferences for sequence and naming conventions and include fields for standard elements. As a result, the captured data from one system couldn’t be understood…
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After decades of measuring and reporting health care quality without transformative change in outcomes, industry and government are realizing the fundamental problem is in the infrastructure of our system. Quality measurement and improvement has evolved over the years from early work centered on evidence-based practice to more recently with the turn of the century, a…
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In the US healthcare industry, nearly 1.2 billion clinical documents are produced each year, out of which 60-80% of valuable clinical data is in the form of unstructured data. This means that a significant amount of data that could be effectively used to improve outcomes by a large margin is stored in the form of narrative…
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