#SystemsofCare

Accepting Tradeoffs: Effective coordinated care networks require numerous moving parts to work together. Managers of these systems must acknowledge the inevitability of issues in their systems. When things go off course, it’s essential to recognize tradeoffs. Some metrics can be optimized at the expense of others. One of the main tradeoffs discovered by researchers in the IBM report is the interplay between accuracy versus efficiency. For coordinated care networks, better

Systems of care allow clients to seamlessly receive care from multiple health and human service providers. They improve access to care and encourage accountability for health and human services organizations. Systems of care are defined as referral systems across health and human service agencies supported by technological capital (e.g., community referral technologies, updatable resource directories) and human capital (e.g., community health navigators, call center operators, social workers). The implementation of

Referral technologies are a rapidly increasing and adapting addition to care operations in the United States. Not only are present technologies constantly updating and adapting their practices, but new platforms are implemented into the care continuum on an ongoing and rolling basis. In 2019, Yuri Cartier, Caroline Fichtenberg, and Laura Gottlieb produced a comprehensive review of the present nine primary community resource referral platforms in their publication, “Community Resource Referral

Our last two blogs discussed the current state of referral metrics and the changes needed to optimize these metrics going forward. Now we will discuss the necessary data requirements for further improving the quality of care. While navigation systems track a breadth of data metrics, several untracked variables remain integral to the improvement of care. This blog advocates for three groups of outcome measures needed to assess the efficacy of

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