Digital decision support and remote patient monitoring may improve outcomes and efficiency, but rarely scale beyond a single institution. We sought to create a turnkey solution that could make personalized care at population-scale effective and efficient as well as readily adoptable across health systems.
The common barriers specific to scaling digital health technology from one site to many include: psychological barriers such as difficulty understanding how the technology fits into a new care model and uncertainty about its efficacy in a new population; lack of or differences in the technical infrastructure and expertise necessary to deploy and support the technology; and concerns about the workload required to learn and use the technology. And we present how we overcame these barriers in this article.
The concepts described are broadly applicable for institutions interested in facilitating broader adoption of digital technology for population-level management of chronic health conditions.
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