NIH Cohort Compass Pilot
Past New Requirement Updated
- Agency
-
National Institutes of Health
Department of Health and Human Services
- Solicitation expected
- Estimated value
- $700,000 to $1,500,000
- Set-aside
- Total Small Business
Forecast facts
- Anticipated award
- NAICS code
- 541511 Custom Computer Programming Services
- Points of contact
Forecast details come from HHS's procurement forecast. Agencies' dates and values are estimates.
About this forecast
The National Institutes of Health (NIH) forecasts a new requirement for the NIH Cohort Compass pilot, a total small business set-aside under NAICS 541511, Custom Computer Programming Services, with an estimated solicitation release on June 1, 2026 and an estimated award on July 1, 2026. The National Center for Advancing Translational Sciences, in coordination with the NIH Office of Data Science Strategy, seeks an interoperability layer across disparate cloud-hosted biomedical data repositories that enables federated, privacy-preserving queries for aggregate feasibility checks without moving individual-level patient data or compromising local institutional control. The requirement is intended to eliminate manual cohort-matching procedures and support future cross-platform analysis envisioned under the MAHA Strategic Framework: Integration Platforms.
The estimated award value range is $700,000 to $1,500,000. Contact Justin Borden, Contract Specialist, at justin.borden@nih.gov or +1 (301) 480-9887, or Andrew Kelly at andy.kelly@nih.gov.
Forecast text
In biomedical research, establishing whether a scientifically meaningful cohort exists across separate, highly secure data repositories is a major operational bottleneck. Currently, NIH researchers and program staff spend months negotiating Data Use Agreements, data transfer agreements, and aligning privacy policies before learning if a combined cohort is statistically viable.
To address this challenge, the National Center for Advancing Translational Sciences, in coordination with the National Institutes of Health Office of Data Science Strategy, is launching the "NIH Cohort Compass" pilot. This project establishes an interoperability layer across disparate cloud-hosted repositories. By allowing federated, privacy-preserving query capabilities, researchers can perform immediate, aggregate "feasibility checks" without moving individual-level patient data or compromising local institutional control.
Without this contract, future cross platform analysis which are envisioned as a part of the MAHA Strategic Framework: Integration Platforms will be significantly slower, more manual, and inevitably more expensive. Prior pilots have shown that the upfront work using manual matching procedures to ensure the existence of a meaningful cohort is time consuming and does not always result in the ability to successfully conduct a study. This contract will eliminate that manual process and enable the rapid iteration of study design to ensure that meaningful cohorts can be found.
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