{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T22:04:54Z","timestamp":1789596294100,"version":"build-2803163510"},"reference-count":43,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T00:00:00Z","timestamp":1789516800000},"content-version":"vor","delay-in-days":7,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Enhancing the Multi-State Electronic Health Record-Based Network for Disease Surveillance"},{"name":"Creating Publicly Accessible Chronic Disease Prevalence Estimates from the MENDS Network"},{"DOI":"10.13039\/100000030","name":"Centers for Disease Control and Prevention","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000030","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000016","name":"U.S. Department of Health and Human Services","doi-asserted-by":"publisher","award":["#6 NU38PW000036-02-02"],"award-info":[{"award-number":["#6 NU38PW000036-02-02"]}],"id":[{"id":"10.13039\/100000016","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,9,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>We provide an overview of the transformation of REACHnet\u2019s research-quality electronic health records (EHR) dataset into the Multi-State EHR-Based Network for Disease Surveillance (MENDS) dataset to support chronic disease surveillance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>We highlight important governance and regulatory processes, infrastructure implementations, and partnerships that enabled this work, as well as the challenges faced.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>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).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our work underscores the importance of reliably sourced, standardized EHR data for chronic disease surveillance to inform public health policy and decision-making.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jamiaopen\/ooag166","type":"journal-article","created":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T11:41:59Z","timestamp":1785843719000},"source":"Crossref","is-referenced-by-count":0,"title":["Deploying the REACHnet Multi-State EHR-Based Network for Disease Surveillance (MENDS) node: lessons learned and tools utilized"],"prefix":"10.1093","volume":"9","author":[{"given":"Sylvester","family":"Tumusiime","sequence":"first","affiliation":[{"name":"Health Services Research, Louisiana Public Health Institute , New Orleans, LA 70130,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lindsey","family":"Rudov","sequence":"additional","affiliation":[{"name":"Health Services Research, Louisiana Public Health Institute , New Orleans, LA 70130,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristina","family":"Larson","sequence":"additional","affiliation":[{"name":"Health Services Research, Louisiana Public Health Institute , New Orleans, LA 70130,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyle","family":"Bradford","sequence":"additional","affiliation":[{"name":"Information and Technology Services, Louisiana Public Health Institute , New Orleans, LA 70130,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elizabeth","family":"Nauman","sequence":"additional","affiliation":[{"name":"Health Services Research, Louisiana Public Health Institute , New Orleans, LA 70130,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meagan","family":"Alley","sequence":"additional","affiliation":[{"name":"Health Services Research, Louisiana Public Health Institute , New Orleans, LA 70130,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bob","family":"Zambarano","sequence":"additional","affiliation":[{"name":"Healthcare Analytics, Commonwealth Informatics, a Qinecsa Solutions Company , Austin, TX 78731,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emily W","family":"Lankau","sequence":"additional","affiliation":[{"name":"Emily W. 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