A network with $4.4 million over three years is intended to give small institutions access to the evaluation grids and audits available to large hospital systems.
A large hospital system considering purchasing an artificial intelligence tool mobilizes data scientists, compliance lawyers, and medical informatics specialists to evaluate it. A twenty-bed rural hospital has none of that, and finds itself deciding on its own in the face of commercial arguments. It's this gap that the North Carolina Collaborative Health AI Network, or NC CHAIN, launched in late September, wants to fill.
The network is funded by a three-year, $4.4 million grant from the Duke Endowment. Housed at the University of North Carolina at Chapel Hill, it combines UNC Health, Duke Health, Duke University, the Cecil G. Sheps Center for Health Services Research, and the Duke Margolis Institute for Health Policy.
In concrete terms, it is a question of pooling what the large establishments already produce for themselves: evaluation frameworks, supplier analyses, feedback and technical assistance, made available to rural hospitals and so-called critical access structures as well as small practices. A pooling of purchasing expertise, more than a technological deployment.
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