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 |
|---|---|---|---|---|---|---|
| emPOWER AI R0630 · HHS/ASPR/ODAIA | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| MedCoder - Coding literal text cause of death information reported on death certificates to ICD-10 R0674 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Semi-Automated Nonresponse Detection for Surveys (SANDS) R0679 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Text embedding analysis tool R0700 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed 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 |
| 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 |
| 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 |
| Creating a development network R0838 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| 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 |
| ChatBot for Safety Reporting Portal Adverse Events and Product problems submissions R0875 · HHS/FDA/ODT | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| UpToDate DOJ-0170 · Department of Justice / FBOP | DOJ | Deployed | High-impact | Health and Medical | Natural language processing | Purchased from vendor |
| Sleep Apnea VA-25-2168 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Natural language processing | Purchased from vendor |
| Coordinated Care Tracking System (CCTS) Generative AI Support VA-25-2209 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Natural language processing | Purchased from vendor |
| ReflexAI VA-24-2348 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Dragon Medical One VA-24-4148 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Purchased from vendor |
| Deep-Learning approaches to develop candidate lists of terms for use in text searches VA-24-4193 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Identify access to genetic testing in Veterans with breast cancer. VA-24-4472 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| VA CART Myocardial Ischemia NLP VA-24-5665 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| VA CART Ejection Fraction NLP VA-24-5706 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Limited Use of Azure Speech Services in PETALS Platform VA-24-913 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Hospital Acquired Infections VA-25-2291 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Purchased from vendor |
| Use of Large Language Models to improve classification of identified text snippets from the CLEVER natural language processing pipeline VA-25-3043 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
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