{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T22:24:25Z","timestamp":1787869465937,"version":"build-2784847793"},"reference-count":17,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T00:00:00Z","timestamp":1779926400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Population Health Management"],"published-print":{"date-parts":[[2026,10,1]]},"abstract":"<jats:p>Community Health Needs Assessments (CHNAs), mandated by the Affordable Care Act for tax-exempt hospitals, represent an underutilized yet rich data source for disease-specific advocacy. This commentary proposes a novel framework in which disease advocacy organizations\u2014such as Alzheimer\u2019s Los Angeles, the American Heart Association, and the National Alliance on Mental Illness\u2014deploy artificial intelligence (AI) agents to systematically analyze CHNAs, identify gaps in condition-specific care, generate personalized outreach to hospital leadership, and publicly score health systems on their responsiveness to identified needs. Using Alzheimer\u2019s disease and dementia care in Los Angeles County as a primary case example, this article describes how AI-driven automation of data collection, natural language processing of CHNA documents, and coordinated advocacy campaigns can transform the current passive CHNA cycle into an active mechanism for population health improvement. The framework combines reputational accountability through public scorecards with constructive, evidence-based recommendations, creating a \u201ccarrot-and-stick\u201d dynamic that existing literature on public performance reporting suggests can achieve engagement rates of 40%\u201370% and meaningful institutional change in 30%\u201360% of targeted systems. This approach is adaptable across chronic conditions and disease advocacy organizations, wherever publicly reported community needs data intersect with organized patient advocacy. Implications for population health management, health system quality improvement, and the responsible integration of AI in public health advocacy are discussed.<\/jats:p>","DOI":"10.1177\/19427891261450800","type":"journal-article","created":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T07:27:32Z","timestamp":1779953252000},"page":"340-344","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Turning Compliance Into Action: An Augmented Intelligence\u2013Enabled Framework for Advocacy Organizations to Drive Population Health Improvement"],"prefix":"10.1177","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6557-8149","authenticated-orcid":false,"given":"Richard G.","family":"Stefanacci","sequence":"first","affiliation":[{"name":"College of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,5,28]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0300-7"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2025.1538840"},{"key":"e_1_3_3_4_1","unstructured":"3.Internal Revenue Service. Requirements for 501(c)(3) hospitals under the Affordable Care Act\u2014Section 501(r). Available from: https:\/\/www.irs.gov\/charities-non-profits\/community-health-needs-assessment-for-charitable-hospital-organizations-section-501r3 [Last accessed: February2026]."},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2014.302286"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1001\/amajethics.2019.273"},{"issue":"4","key":"e_1_3_3_7_1","first-page":"644","article-title":"Community health needs assessments and action planning: A gap between what is known and what is done","volume":"111","author":"Faber NJ","year":"2021","unstructured":"6.Faber NJ, , Lind KD, , Hogan AW, , Molnar FJ. Community health needs assessments and action planning: A gap between what is known and what is done. 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Public reporting as a quality improvement strategy","volume":"208","author":"Totten AM","year":"2012","unstructured":"12.Totten AM, , Wagner J, , Tiwari A, , O\u2019Haire C, , Griffin J, , Walker M. Closing the quality gap: Revisiting the state of the science. Public reporting as a quality improvement strategy. Evid Rep Technol Assess (Full Rep) 2012;208(5):1\u2013645.","journal-title":"Evid Rep Technol Assess (Full Rep)"},{"issue":"1","key":"e_1_3_3_14_1","first-page":"I30","article-title":"Connections between quality measurement and improvement","volume":"41","author":"Berwick DM","year":"2003","unstructured":"13.Berwick DM, , James B, , Coye MJ. Connections between quality measurement and improvement. 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