NNSI Editorial Team

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Referral data metrics: What is lacking and how to improve data practices going forward

Our previous blog, “Referral data metrics: what they are, what exists, and why they are important,” outlined the five data metrics that inform navigation systems: quality control metrics, demand metrics, supply metrics, referral metrics, and system impact metrics. If you haven’t read the previous entry, check it out first because this article extends this discussion of referral metrics.  In this article, we describe essential improvements to metrics that are not


Referral data metrics: what they are, what exists, and why they are important

Navigation systems are increasingly utilizing data to improve their practices. From the microcosmic measurement of client demand in each zip code to the macrocosmic measurement of whether navigation systems improve the environment around them: data can drive the growth, improvement, and success of care. Still, navigation systems are far from fully utilizing the potential of the data all around them. This blog will demonstrate the critical role of data and


Navigation Systems: An introduction to the four types of navigation design

As shown in our previous blog, “Understanding and navigating saturated referral landscapes,” the number of navigation systems is exploding. But, not all navigation systems are created equal. In this blog, we evaluate four common navigation designs and inspect the implications of each respective design. Recall from our last blog: Navigation systems are organizational arrangements designed to support individuals in locating and obtaining valuable benefits, programs, and services. These Navigation systems