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U.S. Department Of Health And Human Services·Maryland

Real-Time Post-Market Signal For Enhanced Surveillance

Closes 4/7/2026$500k – $5MRequest for Information
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Description

The U.S. Food and Drug Administration (FDA) is conducting market research to better understand industry capabilities related to providing real-time or near-real-time signals that may support FDA's post-market surveillance activities for regulated products. The FDA is interested in learning whether commercial organizations currently provide, or could provide, timely signals or alerts related to events affecting regulated products, such as safety events, product quality issues, supply disruptions, or other significant public health signals. Some key points to consider include: • The FDA is looking for signals that can be delivered through Application Programming Interfaces (APIs) or other automated integration mechanisms. • The signals of interest may include safety events, product recalls, manufacturing disruptions, supply chain shortages, and public health alerts. • The FDA is interested in understanding whether such signals could be delivered to FDA systems through APIs or other automated integration mechanisms. • The FDA welcomes information regarding innovative signal types, including signals derived from digital sources, advanced analytics, or machine learning methods.

Attached files

Contact

Steven Gagnon

[email protected]

Key dates

Opened
3/18/2026
Pre-bid meeting
4/1/2026
Closes
4/7/2026

Last updated

Details

Type
Request for Information
Industry
Healthcare and Medical Services
NAICS
541519
Solicitation №
ODT-2026-133586

Budget estimate

$500,000 – $5,000,000

It's difficult to estimate the budget for this opportunity as it's a request for information and not a solicitation for proposals. However, considering the scope of the project and the potential for future acquisition strategies, the budget could be substantial. If the FDA decides to move forward with a procurement, the budget could range from $500,000 to $5 million, depending on the complexity of the project and the number of vendors involved. Factors that could influence the budget include the type of signals being provided, the frequency of updates, and the level of integration required with FDA systems.

AI estimate from the solicitation

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