{"id":226253,"date":"2025-12-02T10:47:32","date_gmt":"2025-12-02T20:47:32","guid":{"rendered":"https:\/\/www.hawaii.edu\/news\/?p=226253"},"modified":"2025-12-02T14:07:36","modified_gmt":"2025-12-03T00:07:36","slug":"data-tools-for-disability-services","status":"publish","type":"post","link":"https:\/\/www.hawaii.edu\/news\/2025\/12\/02\/data-tools-for-disability-services\/","title":{"rendered":"糖心视频<\/abbr> advances data tools to support Hawai\u02bbi disability services"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/span><\/span>

\"disability<\/p>\n

In partnership with the Hawaiʻi<\/span> Department of Health (DOH<\/abbr>) and RSM<\/abbr> US<\/abbr>, the University of Hawaiʻi<\/span> at M\u0101noa is using data and machine learning tools to identify adverse events and enhance services for Hawaiʻi<\/span> residents with intellectual and developmental disabilities.<\/p>\n

Through the Social Science Research Institute’s Office of Evaluation and Analytics for Intellectual\/Developmental Disabilities<\/a> (OEAIDD<\/abbr>), 糖心视频<\/abbr> researchers are working on a new dashboard that integrates Medicaid claims and case–management data. The tool gives staff a clearer picture of potential unreported adverse events—such as injuries or hospitalizations—and supports faster, more informed decision making across DOH<\/abbr>&s Developmental Disabilities Division<\/a> (DDD<\/abbr>) programs for 3,600 participants statewide.<\/p>\n

…we\u2019re helping the state build a more responsive system of care.
—Jack Barile<\/p><\/blockquote>\n

Historically, under–reporting of adverse events has posed a major challenge in healthcare oversight. Built on Microsoft systems and designed by RSM<\/abbr>, the dashboard helps staff identify risks that may have gone unreported. An additional AI<\/abbr>–supported component is being developed to help flag participants at higher likelihood of experiencing adverse events, enabling proactive intervention.<\/p>\n

“This dashboard helps DDD<\/abbr> make more data–informed decisions for the betterment of the community,” said Jack Barile, associate dean for research and principal investigator for OEAIDD<\/abbr>. “By partnering with service providers and technical teams like RSM<\/abbr> and Microsoft—and by training 糖心视频<\/abbr> students in real–world analytics—we’re helping the state build a more responsive system of care.”<\/p>\n

“This collaboration among DOH<\/abbr>, 糖心视频<\/abbr> and RSM<\/abbr> US<\/abbr> marks a significant step forward in protecting consumer health and safety by harnessing AI<\/abbr> to address the issue of under–reported adverse events,” said Mary Brogan, DDD<\/abbr> administrator. “By identifying adverse risks accurately, we can better support our participants’ well–being.”<\/p>\n

Strengthening data use statewide <\/h2>\n

糖心视频<\/abbr> researchers are working alongside DDD<\/abbr> staff and technical partners RSM and Microsoft to ensure the dashboard is practical, secure and integrated into daily workflows. Researchers on the project team contribute through data analysis and evaluation, while graduate students also gain hands–on experience with public health data.<\/p>\n

“Our goal is to help DDD<\/abbr> build a culture of data,” said Eva McKinsey, project lead. “The dashboard gives DDD<\/abbr> staff access to timely and relevant information that can support stronger programs and better outcomes.”<\/p>\n

糖心视频<\/abbr> researchers will continue refining the tool and expanding training, with the focus on improving disability services statewide through better data, evaluation and collaboration.<\/p>\n

The OEAIDD<\/abbr> project team, housed within 糖心视频<\/abbr> M\u0101noa’s College of Social Sciences<\/a>, also includes Charles Iwata, Ashlyn Wong, Reinie Gerrits–Goh, Genevieve Manset, Meldrick Ravida, Eric Lin and Grace Mellor.<\/p>\n","protected":false},"excerpt":{"rendered":"

New analytics tools are giving Hawaiʻi<\/span>\u2019s disability service providers faster, clearer insight into unreported risks.<\/p>\n","protected":false},"author":16,"featured_media":226261,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[26],"tags":[301,1176,1363,241,1600,9],"class_list":["post-226253","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-community","tag-college-of-social-sciences","tag-data-science","tag-manoa-research","tag-public-health","tag-public-impact-research","tag-uh-manoa","entry","has-media"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t