Department of Health and Human Services

Organization wide search that includes Relevancy Tailoring, Auto-generation Synonyms, Automated Suggestions, Suggested Related Content, Auto Tagging, and "Did you mean?" to allow visitors to find specific content.

The AI Agent Orchestrator solves the problem that current chatbots are limited to question-and-answer interactions and cannot orchestrate complex, multi-step analytical workflows that require calling external data sci...

This solution is designed to address the challenges of manually processing and analyzing large volumes of unstructured data-including documents, reports, and policies-which is often time-consuming, labor-intensive, an...

The National Violent Death Reporting System (NVDRS) compiles both quantitative and qualitative data on the circumstances surrounding violent deaths, including homicides and suicides, from three key data sources relate...

The AI solution addresses inefficiency in the clinical pharmacology review process by reducing time reviewers spend on routine tasks, allowing them to focus their expertise on complex scientific analysis and decision-...

Manual review and validation of analytical worksheets can create bottlenecks in regulatory processes, introduces potential human error, and limits scalability of quality assurance procedures across FDA operations.

Improved help desk service

Introducing AI to DevOps can identify and reduce errors, shorten release cycles, and empower development teams with data-driven insights, resulting in faster continuous integration and shorter development lifecycles.

User support for DSLD data inquiries and monitoring of DSLD usage and impact in the research community.

Traditional analytical methods for determining consumption patterns of FDA-regulated commodities are limited in scope and processing speed which hinders comprehensive market surveillance, trend analysis, and evidence-...

High-dimensional datasets present analytical challenges that exceed traditional statistical methods' capabilities, limits the ability to extract meaningful insights from complex regulatory data structures, and hinders...

Genomic analysis is a rapidly evolving field with advances in analytical methods arising frequently.

This AI solution impacts the process of investigating foodborne disease outbreaks.

To reduce labor hours of manual comment review we use AI to assist in comment review and triage, and in identifying form letters.

Cross-comparing large amounts of bioanalytical data (reports, validation, tabulated data) with the M10 guidance and aligned method Standard Operating Procedures (SOPs) to identify all possible study conduct issues.

Challenges in assessing large amounts of analytical/bioanalytical study information for risk assessment and inspection preparation in a short period of time

Challenges in assessing large amounts of clinical study information for risk assessment and inspection planning in a short period of time

The AI-assisted regulatory review paradigm addresses the inefficiency and administrative burden of manually searching through vast amounts of disconnected sponsor-submitted and FDA-generated documents by integrating t...

The 508 Compliance Review MCP server solves the problem that CMS staff currently must manually review documents for Section 508 accessibility compliance, which requires specialized knowledge of accessibility standards...

By centralizing federal HIV program information in a custom Knowledge Base, ABE addresses the challenges of fragmented data and inefficient workflows, supporting operational efficiencies through a reduction in labor f...

(Marketplace) Agents and brokers support the consumer enrollment and eligibility process.

The AI-powered web search agent solves the problem that CMS's custom chatbot, CMS Chat currently lacks internet access and is limited to training data with a cutoff date, preventing staff from accessing real-time info...

The app is designed to streamline vaccine label review processes, offering several key features to simplify and improve efficiency.

This AI model is designed to detect style and formatting inconsistencies in FDA draft documents by comparing them against the FDA CDER Style Guide standards.

A lack of engagement, efficiency, and productivity at journal clubs due to the burden of gathering topically relevant and high quality journal articles for review.

Manual coding for data processing and visualization creates barriers to AI adoption, requires specialized expertise not available across all teams, and limits agency ability to maximize value of existing data investme...

How can ACF teams more efficiently review contract proposals and summarize technical evaluation discussions?

How can ACF acquisition teams more efficiently draft acquisition packages?

The DFI PRF AIARA project leverages AI to streamline the single audit process.