Category: Population Health

Seizing the Value of Health Information Exchange Data – A Case Study

An insight paper that details an innovative technology approach to harness valueout of the two most common file formats within the Health Information Exchangeinfrastructure to support growing data needs. Value-based reforms and technology trends are reshaping healthcare. From the rapid adoption of new technologies, including the widespread adoption of electronic health record systems, to emerging…
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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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Identifying Frailty – Risk Stratification Analytics Part 7

Frailty, while sometimes referred to as the normal aging process, is not always seen in geriatric patients. Rather, frailty as part of risk stratification is defined as a set of health characteristics that are associated with poor health outcomes, no matter the age. While there is no standard definition or formal diagnosis of frailty, identification…
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Making Laboratory Data Useful for Population Health Efforts – Risk Stratification Analytics Part 6

Providers are familiar with using laboratory test results to assist in the diagnosing and monitoring of a patient’s health condition. Performing this work for an entire population is challenging, as providers and care teams simply do not have time to jump from system to system to review test results, reconcile it with other health data…
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