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Cloud-Based Medical Simulation Platform Development

Active

Federal

Response Deadline09/13/2026, 07:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The Defense Health Agency is seeking a subcontractor to develop a cloud-native medical simulation platform designed to model the entire casualty continuum, spanning from the initial point of injury to the final return to duty. This project requires the implementation of stochastic modeling capabilities and must be engineered to operate effectively within disconnected, intermittent, and limited bandwidth environments. This subcontract opportunity falls under NAICS code 541511 and was posted on August 17, 2026. Interested parties must submit their responses by the deadline of September 13, 2026.

General Info

DHA seeks subcontractor for cloud-native medical simulation platform; responses due September 13, 2026.

Agency

Department Of Defense → Defense Health AgencyView Agency

NAICS

541511 - Custom Computer Programming ServicesView NAICS

Place of Performance

4000, VA, USA

Set-Aside

NONE

Documents

This scope was carved out of DHA_JOMIS_JMP_20260813.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

JOMIS Joint Medical Planning, Modeling and Simulation Capabilities

AI Contract Breakdown

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Timeline

PostedAug 17

subcontract

Response DeadlineSep 13

Submission deadline

Response Deadline

09/13/2026, 07:00:00 PM UTCin 27 days

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Organization & Contact Information

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AgencyDepartment Of Defense → Defense Health Agency

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Defense → Defense Health Agency

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Office AddressN/A

ContactsNo contact information available

Full Description

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Develop a cloud-native medical simulation platform to model the full casualty continuum from point of injury to return to duty, with support for stochastic modeling and DDIL environments.

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