RIS: Computerized Labeling Assessment Tool Services (CLAT) (IT)
Past New Requirement Updated
- Agency
-
Food and Drug Administration
Department of Health and Human Services
- Solicitation expected
- Estimated value
- $250,000 to $700,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- NAICS code
- 541519 Other Computer Related Services
- Points of contact
-
- Christopher Scott christopher.scott@fda.hhs.gov
- tbd@fda.gov
Forecast details come from HHS's procurement forecast. Agencies' dates and values are estimates.
About this forecast
The Department of Health and Human Services Food and Drug Administration (FDA) is forecasting a new requirement for a Computerized Labeling Assessment Tool (CLAT), an advanced IT solution designed to automate and streamline drug labeling reviews. The tool will leverage computer programming, image processing, and AI technologies to replace manual label reviews, ensuring compliance with FDA regulations and reducing potential medication errors. The estimated solicitation release date is December 1, 2025, with an anticipated contract award date of February 1, 2026.
The contract falls under NAICS code 541519 for Other Computer Related Services and does not have a specific set-aside designation. Christopher Scott (christopher.scott@fda.hhs.gov) is the primary point of contact for this opportunity, representing the Food and Drug Administration. While specific award values are not currently disclosed, the CLAT project aims to improve operational efficiency, standardize labeling across therapeutic drug classes, and automatically identify version change deviations in drug labeling documentation.
Forecast text
CLAT will provide a tool for FDA Reviewers that uses computer programming, image processing, and AI technologies to replace the manual (hands on) review of drug labeling, including container labels, carton labeling, prescribing information, and Instructions for Use. CLAT will auto-review the drug labeling against a library of FDA regulations, guidance's, standards, and best practices to help mitigate medication errors, increase operational and cost efficiencies, and standardize labeling across therapeutic drug classes and product types. CLAT will identify deviations between version changes and ensure no unintended errors have been introduced
On GovTribe
Work this forecast
- Track it in your pipeline
- Find teaming partners
- Similar forecasts
- Ask GovTribe AI about this forecast