ArticleApplied clinical informatics2025
Enhancing Referrals to the Supplemental Nutrition Assistance Program through Clinical Integration of a Standards-Based Decision Support System.
Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Community feedback sessions: An adaptation of the community engagement studio model to enhance scalability.Journal of clinical and translational science · 2026Article
- Development and Evaluation of an Integrated Nutritional Health Care Information System.Applied clinical informatics · 2025Article
- Artificial Intelligence-Based Hospital Malnutrition Screening: Validation of a Novel Machine Learning Model.Applied clinical informatics · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundThe Supplemental Nutrition Assistance Program (SNAP) is one of the most successful national programs to reduce poverty and improve health outcomes, but millions of Americans who qualify still do not have access to SNAP, and limited data are available to determine how referrals to the program can be completed successfully.
objectivesWe aimed to design and develop a standards-based digital care coordination platform to support closed-loop social services referrals between patients and social and health care providers and demonstrate the feasibility to screen, diagnose, plan, and complete interventions with selected patients in real settings.
methodsWe partnered with community members to design the platform through Community Engagement Studios and with a Federally Qualified Health Center, Local Mental Health Authority, and Food Bank to determine the features and workflow requirements of the platform design. We customized currently available systems to use Fast Healthcare Interoperability Resources (FHIR) Application Programming Interfaces (APIs) that could exchange information in real time across providers and participants.
resultsThe platform was successfully demonstrated through a pilot where patients were recruited in clinical settings and referred to a Food Bank that provided SNAP application assistance to study participants. We translated the requirements of the platform to national standards and required workflows of providers and patients. Study participants were notified electronically of the specific steps to follow to complete their SNAP applications while receiving support from specialists from the Food Bank.
conclusionThe pilot demonstrated the feasibility of collecting granular social service referral information that can be used to better address gaps in social care. The pilot also highlighted the importance of further coordination on the usage and harmonization of needs assessment nationally and that current digital systems are still not ready to fully utilize national Social Determinants of Health data standards.
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Registered trials
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