{"id":7741,"date":"2025-11-04T10:00:17","date_gmt":"2025-11-04T15:00:17","guid":{"rendered":"https:\/\/uniteustailstg.wpengine.com\/?p=7741"},"modified":"2026-03-31T13:06:15","modified_gmt":"2026-03-31T17:06:15","slug":"introducing-a-dynamic-social-needs-system-for-stronger-individual-and-community-care-outcomes","status":"publish","type":"post","link":"https:\/\/uniteus.com\/blog\/introducing-a-dynamic-social-needs-system\/","title":{"rendered":"Introducing Dynamic Scoring for Self-Sufficiency and Stronger Community Care Outcomes"},"content":{"rendered":"<p><span class=\"kh-author\" style=\"font-size: .9rem; margin-top: -3rem !important; padding-bottom: 1.5rem; display: block; text-align: left;\"><em>By: Jens Lillehei, Senior Director, Analytics Solutions &amp; Innovation <span style=\"color: #216cff; margin: 0 .5rem;\">|<\/span> Morgan Olsen Jaciuk, Senior Product Manager<\/em><\/span><\/p>\n<h3 style=\"color: #216cff;\">Equipping healthcare stakeholders with the precision and insight to address community and individual-level needs.<\/h3>\n<p><span style=\"font-weight: 400;\">As healthcare increasingly embraces integrated care models that address both medical and non-medical drivers of health, organizations need data that goes deeper\u2014data that reflects real people, real circumstances, and the evolving nature of need.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Traditional measurement tools often fall short. They rely on aggregated, outdated datasets that miss the complexities within communities, leaving organizations without the precision required to design effective interventions or measure lasting impact.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Unite Us\u2019 Self Sufficiency models bridge that gap by delivering insights at both the individual and community levels that capture the complex and evolving realities of people\u2019s lives. Instead of merely identifying where needs exist, these models estimate an individual\u2019s ability to meet their own needs over time while uncovering broader patterns and trends within the community.<\/span><\/p>\n<h3>Why Granularity Matters<\/h3>\n<p><span style=\"font-weight: 400;\">Across the country, communities are building systems of care that aim to foster long-term self-sufficiency\u2014networks that empower residents to access resources, reduce dependency, and achieve long-term stability. To make those systems work, leaders need <\/span><b>individual-level, predictive insights<\/b><span style=\"font-weight: 400;\"> that reveal where barriers exist, how they intersect, and which interventions will make the greatest difference.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><b>Self Sufficiency Score<\/b><span style=\"font-weight: 400;\"> offers exactly that. Instead of relying on broad geographic averages, it uses person-level data to help healthcare systems, payers, and community organizations:<\/span><\/p>\n<ul style=\"line-height: 1.5;\">\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Identify at-risk individuals earlier<\/b><span style=\"font-weight: 400;\">\u2014before needs escalate into crises.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Target interventions more effectively<\/b><span style=\"font-weight: 400;\">, ensuring resources reach those who will benefit most.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Measure long-term progress<\/b><span style=\"font-weight: 400;\"> toward self-sufficiency, not just short-term needs fulfillment.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">When it comes to understanding community health, <\/span><b>granularity matters<\/b><span style=\"font-weight: 400;\">. Unite Us\u2019 models go beyond traditional frameworks by combining social, clinical, and behavioral data to give organizations the clearest possible view of their populations and the individuals within them.<\/span><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7746 \" src=\"https:\/\/uniteus.com\/wp-content\/uploads\/2024\/11\/Dashboard-InfographicPS.gif\" alt=\"\" width=\"380\" height=\"380\" \/><\/p>\n<h2><b>How Traditional Tools Fall Short<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Tools like the <\/span><b>Area Deprivation Index (ADI)<\/b><span style=\"font-weight: 400;\"> and the <\/span><b>Social Vulnerability Index (SVI)<\/b><span style=\"font-weight: 400;\"> have advanced understanding of community needs but remain limited.<\/span><\/p>\n<p><strong>The Area Deprivation Index (ADI)?<\/strong><br \/>\n<a href=\"https:\/\/hipxchange.org\/toolkit\/adi\/#:~:text=The%20ADI%20is%20based%20on,of%20Medicine%20and%20Public%20Health.\"><span style=\"font-weight: 400;\">First developed by the Health Resources and Services Administration and later refined at the University of Wisconsin-Madison<\/span><\/a><span style=\"font-weight: 400;\">, the ADI measures socioeconomic conditions such as income, education, employment, and housing quality, using annual data. While useful for assessing neighborhood-level deprivation, it provides a static snapshot and lacks the flexibility to track individual or community change over time.<\/span><\/p>\n<p><strong>The Social Vulnerability Index (SVI)?<\/strong><br \/>\n<a href=\"https:\/\/www.atsdr.cdc.gov\/placeandhealth\/svi\/index.html#:~:text=CDC%2FATSDR%20SVI%20History&amp;text=In%202007%2C%20a%20group%20including,developing%20the%20Social%20Vulnerability%20Index.\"><span style=\"font-weight: 400;\">Developed in 2003 by the Centers for Disease Control and Prevention<\/span><\/a><span style=\"font-weight: 400;\">, the SVI identifies communities most at risk during disasters or public health emergencies. It aggregates five-year census data to assess social, economic, and demographic vulnerability at the census tract level\u2014offering a broad but generalized view that doesn\u2019t account for individual variability.<\/span><\/p>\n<p><strong>Shared Limitations<\/strong><br \/>\n<span style=\"font-weight: 400;\">Both indices have proven useful but share limitations that can obscure true need and opportunity:<\/span><\/p>\n<ul style=\"line-height: 1.5;\">\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Overgeneralized Data:<\/b><span style=\"font-weight: 400;\"> Census block- and tract-level data can mask disparities within small areas or specific demographic groups.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Lack of Cultural Considerations:<\/b><span style=\"font-weight: 400;\"> Indicators such as housing or employment may hold different meanings across cultural and regional contexts.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Lagging Data:<\/b><span style=\"font-weight: 400;\"> Reliance on inconsistently refreshed census surveys means risk assessments may be based on outdated information.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Misuse in Resource Allocation:<\/b><span style=\"font-weight: 400;\"> Policymakers may over-rely on these indices, overlooking local insights and community expertise.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Focus on Deficits Over Strengths:<\/b><span style=\"font-weight: 400;\"> These measures highlight vulnerabilities but fail to capture assets, strengths, and resilience\u2014the factors that drive self-sufficiency.<\/span><\/li>\n<\/ul>\n<h2 class=\"mb-0\"><b>A Smarter, More Dynamic Solution: The Self Sufficiency Score<\/b><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-7745\" src=\"https:\/\/uniteus.com\/wp-content\/uploads\/2025\/11\/sss-gif.gif\" alt=\"\" width=\"300\" height=\"300\" \/><br \/>\n<span style=\"font-weight: 400;\">Introduced in 2018, Unite Us <\/span><a href=\"https:\/\/uniteus.com\/products\/social-care-data\/\"><b>Population Insights<\/b><\/a><span style=\"font-weight: 400;\"> is a proprietary predictive analytics solution that helps organizations understand and strengthen both individual and community self-sufficiency. By leveraging comprehensive person-level data\u2014including social, economic, and health-related factors\u2014it uses advanced modeling to reveal the drivers of need and opportunity, and turn those insights into strategies that build stability, enhance community resilience, and reduce healthcare and benefits costs.<\/span><\/p>\n<p class=\"mb-0\"><b>How it Works<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Powered by Population Insights, the <\/span><b>Self Sufficiency Score<\/b><span style=\"font-weight: 400;\"> is an individual-level composite score that evaluates how 10 factors\u2014including food security, childcare needs, housing stability, employment, and other personal circumstances\u2014affect an individual\u2019s self-sufficiency. While derived at the individual level, these scores can also be aggregated to reveal patterns and trends at the community level, helping identify where support and resources are most needed.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Beyond pinpointing areas of vulnerability, the score also highlights where individuals and families are making progress towards stability and independence\u2014helping communities focus not only on addressing needs but also on nurturing long-term self-reliance.<\/span><\/p>\n<p class=\"mb-0\"><b>How It\u2019s Used<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Population Insights measures both <\/span><b>individual needs<\/b><span style=\"font-weight: 400;\"> and <\/span><b>broader community trends<\/b><span style=\"font-weight: 400;\">\u2014from housing and employment to engagement patterns and outcomes. Organizations use these insights to design personalized care plans, guide policy and funding decisions, and ensure every action moves individuals and communities closer to lasting stability. By connecting individual and community insights, Population Insights helps partners move beyond short-term relief toward <\/span><b>long-term well-being and resilience<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h3>Benefits of Unite Us\u2019 Dynamic Predictive Analytics<\/h3>\n<p><span style=\"font-weight: 400;\">With <\/span><b>Population Insights and dynamic scoring<\/b><span style=\"font-weight: 400;\">, organizations can drive better health outcomes for both individuals and communities with:<\/span><\/p>\n<ul style=\"line-height: 1.5;\">\n<li aria-level=\"1\"><b>Tailored Interventions: <\/b><span style=\"font-weight: 400;\">Individualized insights enable targeted care plans that address root causes and accelerate progress toward self-sufficiency.<\/span><\/li>\n<li aria-level=\"1\"><b>Operational Efficiency: <\/b><span style=\"font-weight: 400;\">\u00a0Scores integrate seamlessly into existing workflows, helping teams prioritize interventions and coordinate across healthcare and social service systems.<\/span><\/li>\n<li aria-level=\"1\"><b>Strategic Decision-Making: <\/b><span style=\"font-weight: 400;\">Actionable data supports smarter programming, funding, and policy decisions that strengthen community capacity.<\/span><\/li>\n<li aria-level=\"1\"><b>Improved Communication: <\/b><span style=\"font-weight: 400;\">Data-driven insights foster trust-based conversations between care providers and clients, empowering individuals to take ownership of their care journey.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Together, these capabilities build stronger, more coordinated systems of care that promote sustained resilience and well-being.<\/span><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7744 \" src=\"https:\/\/uniteus.com\/wp-content\/uploads\/2024\/11\/SNS-ResourcesPS2.gif\" alt=\"\" width=\"380\" height=\"380\" \/><\/p>\n<h3>How We Made Our Predictive Models Even Better<\/h3>\n<p><span style=\"font-weight: 400;\">To make Population Insights even more powerful, Unite Us introduced <\/span><b>dynamic scoring<\/b><span style=\"font-weight: 400;\">\u2014a major leap forward in understanding how needs evolve over time. Unlike static indices, dynamic scoring updates continuously as individuals engage with services and as community conditions shift. This provides a living measure of both personal progress and community resilience.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">By applying advanced data science, Unite Us models accurately predict non-medical needs at both the individual and community levels. Healthcare systems, government agencies, health plans, and community-based organizations can use these insights to optimize resources, improve outcomes, and strengthen local systems of care.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ultimately, these models do more than measure need\u2014they <\/span><b>empower communities to build the capacity, resilience, and independence<\/b><span style=\"font-weight: 400;\"> required for a healthier, more sustainable future.<\/span><\/p>\n<h2><b>Building a Healthier, More Self-Sufficient Future<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The future of community care depends on precision, adaptability, and collaboration. Unite Us\u2019 dynamic scoring equips organizations with the insights they need to anticipate needs, design effective interventions, and measure real progress over time.<\/span><\/p>\n<p><b>Learn how Unite Us can help your organization harness dynamic, person-centered data to strengthen communities and drive long-term well-being.<\/b><\/p>\n<p style=\"text-align: center;\"><a class=\"button button-solid\" href=\"https:\/\/uniteus.com\/products\/insights\/\">Learn more about Insights<\/a><\/p>\n<style>.auth-divider{color:#216cff; style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\"}<\/style>\n","protected":false},"excerpt":{"rendered":"<p>By: Jens Lillehei, Senior Director, Analytics Solutions &amp; Innovation | Morgan Olsen Jaciuk, Senior Product Manager Equipping healthcare stakeholders with the precision and insight to address community and individual-level needs. As healthcare increasingly embraces integrated care models that address both medical and non-medical drivers of health, organizations need data that goes deeper\u2014data that reflects real&#8230;<\/p>\n","protected":false},"author":6,"featured_media":7742,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"states":[],"topic":[84,88],"industry":[97],"series_name":[],"class_list":["post-7741","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","topic-data","topic-technology","industry-all"],"acf":{"layout":"default","gated_page":{"":null,"title":"","featured_image":null,"description":"","form_title":"Fill out the form to download the white paper.","code_editor":"","title_2":"","description_2":"","embeds":null,"display_cta_button":true,"button_text":"Download the White Paper"},"columns":null,"download_page":{"document":""},"reports_component":{"components":null},"webinar_components":{"components":null,"speakers":{"speaker_heading":"Speakers","all_speakers":null},"organizations":{"organization_heading":"Organizations","all_organizations":null}}},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Introducing Dynamic Scoring For Stronger Care Outcomes<\/title>\n<meta name=\"description\" content=\"Unite Us\u2019 dynamic scoring and predictive analytics deliver precise, real-time insights into self-sufficiency\u2014helping organizations identify needs earlier, target interventions, and measure progress toward lasting community stability and resilience.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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