ArticleJAMIA open2026
Deploying the REACHnet Multi-State EHR-Based Network for Disease Surveillance (MENDS) node: lessons learned and tools utilized.
Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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11 authors.
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Abstract
Objectives: We provide an overview of the transformation of REACHnet's research-quality electronic health records (EHR) dataset into the Multi-State EHR-Based Network for Disease Surveillance (MENDS) dataset to support chronic disease surveillance. Materials and Methods: We highlight important governance and regulatory processes, infrastructure implementations, and partnerships that enabled this work, as well as the challenges faced. Results: REACHnet transformed clinical data from health systems in Louisiana and Texas into surveillance-ready datasets accessible to public health departments in Louisiana and Texas and the National Association of Chronic Disease Directors (NACDD). Discussion: Transforming reliably sourced and curated clinical data into a dataset that can be used by public health professionals for epidemiological surveillance activities required the development of governance, regulatory, and technical approaches that considered the priorities of all stakeholders. This work summarizes the challenges, opportunities, and approaches taken to develop a reliable and relatively low-latency dataset to support epidemiological studies by public health professionals. Conclusion: Our work underscores the importance of reliably sourced, standardized EHR data for chronic disease surveillance to inform public health policy and decision-making.
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