HHS AI Use Case Inventory 2024
The Office of the Assistant Secretary for Technology Policy’s (ASTP) Office of the Chief Artificial Intelligence Officer (OCAIO) is responsible for leading the annual HHS AI use case inventory.
The Office of the Assistant Secretary for Technology Policy’s (ASTP) Office of the Chief Artificial Intelligence Officer (OCAIO) is responsible for leading the annual HHS AI use case inventory. The artificial intelligence (AI) use case publication requirement was initiated consistent with Executive Order 13960 "Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government" and may be further enhanced by Office of Management and Budget (OMB) memoranda.
Questions can be directed to HHS.CAIO@hhs.gov.
| Use Case Name | Stage of System Dev Life Cycle | Op Div/Staff Div |
|---|---|---|
| Annual Report CMC | Operation and Maintenance | FDA |
| Application-DMF Reference | Operation and Maintenance | FDA |
| Artificial Intelligence-based Deduplication Algorithm for Classification of Duplicate Reports in the FDA Adverse Event Reports (FAERS) | Implementation and Assessment | FDA |
| Development of automation tools and data warehouse to facilitate BE assessments | Acquisition and/or Development | FDA |
| DMF (Drug Master File) Facilities | Operation and Maintenance | FDA |
| Four Part Harmony Identification | Acquisition and/or Development | FDA |
| Information Visualization Platform (InfoViP) to Support Analysis of adverse event reports | Acquisition and/or Development | FDA |
| LLM-Assisted VAERS Analyses | Acquisition and/or Development | FDA |
| Pharmacovigilance machine learning to detect excess safety signal | Operation and Maintenance | FDA |
| Module 3 Faculties | Operation and Maintenance | FDA |