{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:53:06Z","timestamp":1781484786048,"version":"3.54.1"},"reference-count":53,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Seattle Children\u2019s Hospital Electronic Health Record Support Optimization Provider Program"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Cancer Control"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Adolescent and young adult (AYA) cancer survivors are at significant risk for late treatment-related effects yet face challenges when transitioning to survivorship-focused care and longitudinal follow-up. Population-level tools in the electronic health record (EHR) offer a pragmatic approach to track patients and optimize care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The Seattle Children\u2019s Hospital Cancer Survivor Program created a population health management system, using tools embedded within the EHR, based on a validated registry of AYA survivors. We developed a dynamic dashboard to make care gaps visible survivorship care, provide exposure-based pulmonary and cardiac toxicity surveillance, and support transition to adult care. We also built reports to facilitate real-world data analysis of the transition to survivorship care and longitudinal follow-up in a retrospective cohort of AYA survivors. We analyzed data from the cohort to explore subgroup differences in survivorship care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among survivors who finished treatment between January 1, 2021, and April 30, 2022 (n=220), 47% completed a long-term follow-up visit. There were no differences in the likelihood of follow-up based on age categories (p=0.36). For survivors with established long-term follow-up (n=743), 76% received longitudinal care. Compared with children, adolescent survivors (OR 0.51, 95% CI 0.29-0.9), emerging young adults (OR 0.39, 95% CI 0.24-0.63), and young adults (OR 0.10, 95% CI 0.05-0.18) were less likely to have a survivorship visit in the preceding 30 months. This difference was attenuated when analysis was restricted to survivors &lt;22 years old and adjustment for years off therapy, with OR of 0.67 (95%CI 0.37-1.21) and 0.82 (0.45-1.50) among AYAs compared to children as the referent group.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>An EHR embedded population health platform represents a feasible approach to measure longitudinal follow-up care and transitions among AYA survivors. Clinical informatics tools have the potential to drive innovation and enhance evidence-based, guideline-concordant care to mitigate late effects in this population.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10732748261460117","type":"journal-article","created":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T00:00:56Z","timestamp":1781222456000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["An Informatics Approach to Enhance Care for Childhood, Adolescent and Young Adult Cancer Survivors Through Population Health Management"],"prefix":"10.1177","volume":"33","author":[{"given":"David H.","family":"Noyd","sequence":"first","affiliation":[{"name":"University of Washington"},{"name":"Seattle Children\u2019s Hospital"},{"name":"Department of Pediatrics, University of Washington"},{"name":"Fred Hutchinson Cancer 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Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taylor","family":"Giovannetti","sequence":"additional","affiliation":[{"name":"Seattle Children\u2019s Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos","family":"Villavicencio","sequence":"additional","affiliation":[{"name":"Seattle Children\u2019s Hospital"},{"name":"Department of Pediatrics, University of Washington"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-Hsiang","family":"Lin","sequence":"additional","affiliation":[{"name":"Seattle Children\u2019s Hospital"},{"name":"Department of Pediatrics, University of Washington"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael G.","family":"Leu","sequence":"additional","affiliation":[{"name":"Seattle Children\u2019s Hospital"},{"name":"Department of Pediatrics, University of Washington"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric 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