Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Aug 25, 2025
Date Accepted: Feb 25, 2026
Building an Innovative Dashboard for a National Social Needs Screening and Referral Clinical Intervention in the Veterans Health Administration: Applying User-Centered Design and Interprofessional Teamwork
ABSTRACT
Background:
Assessing Circumstances and Offering Resources for Needs (ACORN) is a Veterans Administration (VA) clinical intervention designed to identify and address social needs to improve health and well-being among all Veterans. We co-designed the ACORN Dashboard to facilitate access to real-time social needs and intervention data for VA clinical care teams and leadership.
Objective:
To (1) describe the iterative development of the ACORN Dashboard, (2) assess end-user feedback and Dashboard utilization, and (3) discuss the role of social needs dashboards in facilitating continuous quality improvement in healthcare settings.
Methods:
An interprofessional team of subject matter experts and end-user feedback contributed to the design. Phase 1 included more than 7 months of weekly working meetings. We initially constructed a wireframe in PowerPoint, then translated it into a prototype in Power BI, a data visualization software. Using Power BI, we built data visualizations to communicate population-level sociodemographic and ACORN screening data. Through feedback sessions, staff from 8 VA medical centers (VAMCs) reviewed the prototype and recommended improvements regarding the Dashboard’s purpose, content, and usability. Phase 2 involved 6 weeks of weekly working meetings where we developed and iteratively refined 5 written drafts of clinically relevant variables for potential inclusion in the Patient-Level Data Page. This list informed a Power BI prototype. We also developed the ACORN Implementation Map page in Power BI to display implementation locations and settings. We again used feedback sessions with 8 VAMCs to review and refine the newly added pages and discuss improvements. To assess utilization, we obtained metadata from a VA-specific Power BI report and user experience data from an ACORN VAMC survey.
Results:
The ACORN Dashboard displays national data that is updated daily, reflecting 83,546 screens administered across 82 VA facilities between July 1, 2021-April 30, 2025. The Dashboard was viewed 18,192 times by 2,251 unique users, and on average, 263 unique users viewed the Dashboard every month between October 1, 2023-April 30, 2025. Dashboard variables include the number of screens completed, sociodemographic characteristics of Veterans screened, prevalence of social needs, and interventions provided to address needs. Phase 1 feedback interviews included recommendations for a page with patient-level data to supplement the population-level pages, incorporation of additional filters to select specific data, and development of a user guide. In Phase 2, key insights included enhancement of end-users’ ability to search by Veteran or staff name, guidance about screening frequency, changing the display order of variables, and the inclusion of variable definitions.
Conclusions:
Using co-design to develop, maintain, and continually refine data dashboards enhances implementation of social screening and interventions in healthcare settings. In addition to supporting individual-level patient care, population-level dashboard data informs continuous quality improvement, promotes health equity, and identifies gaps in services to address identified needs.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.