Category: Interoperability

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.

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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Gratitude Underlies Our 2020 HIE Reflections

While the pandemic exposed many vulnerabilities in our health care system, we here at KPI Ninja like to remain positive – and there were so many great things that happened this year! The best part of our 2020? Health organizations of all sizes now have a greater appreciation for the critically important role that Health…
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Improving Value-Based Contract Performance with Flexible Analytic Attributions

Data that is linked to your patients and needs. That’s good, right? The concept seems simple enough. Yet, attribution – the process of assigning patients to a provider or organization – can range from basic to highly complex given the myriad of factors that come with appointing responsibility for a patient’s care. Turns out, many…
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