AI use-case explorer
AI use cases
Search and filter every reported use case. Open a record for the agency's full description, governance answers and source provenance.
Columns (7)
| Use case | Agency | Stage | High-impact | Topic area | AI classification | Sourcing |
|---|---|---|---|---|---|---|
| AIP Assist R0738 · HHS/CDC | HHS | Deployed | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| AI-assisted comment triaging tool R0740 · HHS/CMS/CM | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Feedback Analysis Solution (FAS) R0742 · HHS/CMS/CCSQ | HHS | Deployed | Not high-impact | Information Technology | Natural language processing | Developed in-house |
| CCSQ ServiceNow AI Search R0746 · HHS/CMS/CCSQ | HHS | Deployed | Not high-impact | Information Technology | Natural language processing | Purchased from vendor |
| CMS Labor Analysis Wizard (CLAW) R0753 · HHS/CMS/OAGM | HHS | Deployed | Not high-impact | Procurement and Financial Management | Natural language processing | Contract and in-house |
| CCSQ Now Assist for CSM R0754 · HHS/CMS/CCSQ | HHS | Deployed | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| AI Workspace R0755 · HHS/CMS/OIT | HHS | Deployed | Not high-impact | Information Technology | Natural language processing | Contract and in-house |
| Citation Analysis and Survey Assistant (CASA - Nursing Home Survey CMS 2567) R0756 · HHS/CMS/CCSQ | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Independent Dispute Resolution (IDR) Eligibility Rules Engine R0757 · HHS/CMS/CCIIO | HHS | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Purchased from vendor |
| CCSQ Now Assist for Creator R0761 · HHS/CMS/CCSQ | HHS | Deployed | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| Docketscope Public Comment Processing R0762 · HHS/CMS/CM | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| CMS Chat R0767 · HHS/CMS/OIT | HHS | Deployed | Not high-impact | Information Technology | Generative AI | Contract and in-house |
| AI in Slack R0779 · HHS/CMS/OC | HHS | Deployed | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| AI in Figma Make R0780 · HHS/CMS/OC | HHS | Deployed | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| AI Language Translation Support in Smartling R0781 · HHS/CMS/OC | HHS | Deployed | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| IDR Support Bot R0809 · HHS/CMS/OIT | HHS | Deployed | Not high-impact | Information Technology | Generative AI | Contract and in-house |
| Eligibility & Enrollment Medicare Online (ELMO) Chatbot R0810 · HHS/CMS/OIT | HHS | Deployed | Not high-impact | Information Technology | Generative AI | Contract and in-house |
| Renamed: 356H Machine Learning (ML) Facility Supply Chain Role Classification
Previously: 356H ML Facility Supply Chain Role Classification R0816 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| Renamed: Risk-based FAR Review & Decision Support
Previously: Field Alert Reports (FAR) Prioritization Model R0817 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| Analytics-Driven Supplement Evaluation (ASE) R0818 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Renamed: FAR-based Facility Signal Detection Tool
Previously: Post-market Surveillance Reports Signal Detection and Cluster Analysis. R0819 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| MedWatch Dashboard R0820 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Quality Surveillance Dashboard (QSD) R0821 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Annual Report CMC R0822 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Generative AI | Contract and in-house |
| Renamed: Application References
Previously: Application-DMF Reference R0823 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Renamed: Extracting DMF Facilities from unstructured documents
Previously: DMF (Drug Master File) Facilities R0824 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Renamed: Information Visualization Platform (InfoViP) to Support Analysis of FAERS safety reports
Previously: Information Visualization Platform (InfoViP) to Support Analysis of adverse event reports R0825 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Renamed: Module 3 Facilities Extraction
Previously: Module 3 Faculties R0827 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Generative AI | Contract and in-house |
| Packaging Materials and Suppliers R0828 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Generative AI | Contract and in-house |
| Real World Data/Evidence R0830 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Generative AI | Contract and in-house |
| Regulatory Starting Material R0831 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Generative AI | Contract and in-house |
| Resource Capacity Planning R0832 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| Supply Chain Resilience Program, Office of Supply Chain Resilience (OSCR) - Foresight R0833 · HHS/FDA/CDRH | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| CDER Publications R0836 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Science | Natural language processing | Contract and in-house |
| CDER Regulatory Science Research (RSR) Projects AI for Process Control in Advanced Manufacturing R0837 · HHS/FDA/CDER | HHS | Deployed | Presumed high-impact, determined not | Science | Classical / predictive ML | Developed in-house |
| Creating a development network R0838 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Developing an Objective and Quantitative Endpoint for Atopic Dermatitis in Pediatric and Adult Populations R0839 · HHS/FDA/CDER | HHS | Deployed | Presumed high-impact, determined not | Health and Medical | Classical / predictive ML | Purchased from vendor |
| Category Subcategory Classification - Safety Reports Bot R0841 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Other | Contract and in-house |
| Data Extraction from IND Safety Reports using OCR/AI Technologies R0842 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Information Technology | Natural language processing | Purchased from vendor |
| Use case package 1: Empirical application of the Sentinel EHR and claims Data Partner network to address ARIA insufficient inferential requests (UC1) R0844 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| CI5: Development and refinement of toolkits for routine use in the EHR and claims Data Partner network R0845 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Use case package 2 (UC2): Empirical application of the Sentinel EHR and claims Data Partner network to enhance ARIA insufficient inferential requests and atypical descriptive requests R0846 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| FE5: Incorporate a range of frequently used engineering features from EHRs into the Sentinel common data model in the Sentinel EHR and claims linked Data Partner network R0847 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Develop an empirical algorithm to automate negative control identification in Sentinel System using the “Data-driven Automated Negative Control Estimation (DANCE)” algorithm R0848 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Support tools that can be used in conjunction with Electronic Health Record (EHR) data, such as machine learning and natural language processing (NLP), and the use of Artificial Intelligence (AI) chart review tools R0849 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Sentinel System Task Order to address an Emerging Safety Need R0850 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| FOIA REDACTION (FRED) TOOL R0851 · HHS/FDA/CDER | HHS | Deployed | Presumed high-impact, determined not | Health and Medical | Generative AI | Contract and in-house |
| SCANS Facility Role Predictor R0858 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Food AI Decision Engine (FAIDE) R0863 · HHS/FDA/HFP | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Warp Intelligent Learning Engine (WILEE) R0864 · HHS/FDA/HFP | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |