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This Government Contract opportunity from Department Of Health And Human Services was posted on July 27, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Integration of the Diabetes Simulation Models into a Unified Backend Platform

Closed
7571TE-NOI-CDC97743Federal

Contract Overview

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

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AI Contract Overview

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The Department of Health and Human Services’ Centers for Disease Control and Prevention intends to award a sole-source contract to RTI International for the integration of two existing Python-based microsimulation models—the Comprehensive Diabetes Simulation (CDS) Model and the Social Determinants of Health (SDOH) Diabetes Model—into a single unified backend platform. RTI International is designated as the only qualified vendor due to its original development of both models, which share core disease progression logic but currently operate on separate codebases, repositories, and deployment systems. The project requires consolidating these systems to reduce maintenance overhead, eliminate redundancy in security and DevSecOps processes, and ensure computational consistency while preserving distinct user interfaces accessible via separate URLs. The unified platform will support ongoing federal policy analysis, epidemiological research, and cost-effectiveness evaluations related to diabetes prevention and management interventions across both individual and community levels. The acquisition will be conducted under FAR Part 12 as a commercial item procurement, exempting it from full competitive procedures under FAR Part 6, with the NAICS code 513210 (Software Publishers) and a $47 million small business size standard. Although the government is not obligated to award a contract based on responses, it invites interested parties, particularly small businesses, to submit capability statements detailing their ability to meet the requirement. All submissions must be sent via email to Miguel Diaz at [email hidden] by 12:00 PM EST on July 31, 2026, and must include company details, SAM certification status, business size classification, access to procurement vehicles, and teaming arrangements if applicable. No proprietary or sensitive information should be included, and responses will be used solely to evaluate potential competition or inform future solicitation development. The notice explicitly states that no contract will be awarded based on this notice alone, and the government retains full rights to use any non-proprietary technical information provided for planning or procurement purposes.

General Info

CDC seeks sole-source contract with RTI International to unify two diabetes models for $47 million.

NAICS

513210 - Software Publishers

Place of Performance

Durham, NC, 27709, USA

Set-Aside

NONE

Documents

1

7571TE-NOI-CDC97743 - Notice of Intent for Diabetes Simulation Models Integration

PDF, Low prioritysources-sought
Low

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Timeline

PhaseClosed
Posted

special-notice

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → Omas Strategic Buying Center - Information Technology
Contacts1 person available
OfficeRockville, MD, 20857, USA
Office AddressRockville, MD, 20857, USA
Contacts

Full Description

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The Department of Health and Human Services (HHS), Centers for Disease Control (CDC) plans to procure, on a sole source basis, integration of simulation models into a unified backend platform from: RTI International P.O. Box 12194 Research Triangle Park, NC 27709-2194


The closing date of this notice is in accordance with FAR 5.203(b). This acquisition will be processed under FAR Part 12 – Acquisition for Commercial Items and will be made pursuant to the authority in FAR Part 13.106-1 (b)(1) and is exempt from the requirements of FAR Part 6. The North American Industry Classification System code (NAICS) is 513210 - Software Publishers, and the small business size standard is $47M.


The purpose of this project is to design, develop, validate, document, and deploy a unified backend platform integrating the CDS Model and SDOH Model while preserving validated functionality and maintaining separate user interfaces. The National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), Division of Diabetes Translation (DDT), develops and maintains microsimulation models to estimate the long-term health and economic outcomes of diabetes prevention and management interventions. These models inform federal policy, program planning, and evaluation. Since 2016, DDT has developed two Python-based microsimulation platforms: Comprehensive Diabetes Simulation (CDS) Model. The CDS Model includes separate Type 1 and Type 2 diabetes microsimulation models. These models simulate disease progression from prediabetes or diabetes diagnosis through death. They estimate long-term clinical, economic, and quality-of-life outcomes associated with interventions. The CDS Model supports cost-effectiveness analyses of individual-level interventions. Users may modify intervention parameters and define population characteristics. The model has been deployed on CDC’s internal website since 2020 and is actively used to support DDT’s mission and conduct applied epidemiologic health economics research. The CDS Model is transitioning from a development environment to a production environment within CDC’s network. Social Determinants of Health (SDOH) Diabetes Model. The SDOH Model is a microsimulation model designed to evaluate community-level policies, programs, and practices (PPPs) that influence risk factors for diabetes and its complications across five NCCDPHP SDOH priority domains. The SDOH Model estimates the long-term cost-effectiveness of community-level interventions affecting Type 2 diabetes incidence, complications, mortality, health-related quality of life, and healthcare costs. It uses CDS Model disease progression and complication equations as part of its computational engine. The SDOH Model is programmed in Python and allows users to modify intervention parameters and define target populations. It is deployed in CDC’s internal development environment but has not yet been released to production. Although the CDS Model and SDOH Model share core disease progression logic, they currently operate under:
•Separate backend codebases
•Separate repositories
•Independent security scanning pipelines
•Distinct deployment workflows

This duplication increases maintenance burden, regression testing requirements, DevSecOps complexity, security review workload, and risk of computational inconsistencies. CDC requires integration of both models into a single unified backend architecture while maintaining separate user interfaces accessible via distinct URLs.


RTI International developed the two simulation models and possesses the necessary expertise to complete the tasks required for this project, including epidemiologists, statisticians, and computer programmers. As the original developer, RTI has in-depth knowledge of the design, data, methods, and programming codes used in these models. Therefore, RTI International is the only vendor capable of meeting all project requirements and delivering the best value to the government.


This notice is not a request for competitive quotations. However, if any interested party, especially a small business, believes it can meet the Government’s needs, it may submit a capability statement, proposal, or quote for the Government to consider. The response and any other information furnished must be in writing and must contain sufficient details to allow NCI to determine if the party can perform the requirement.


Responses to this notice shall be submitted via email to Miguel Diaz, at contact@example.gov, no later than 12:00 P.M. EST on Friday, July 31, 2026 (07/31/26).


A determination by the Government not to compete this proposed requirement based upon responses to this notice is solely within the discretion of the Government. Information received will be considered for the purpose of determining whether to conduct a competitive procurement. The Government reserves the right to use the information provided by respondents for any purpose deemed necessary and legally appropriate. To receive an award, Contractors must be registered and have valid certification through SAM.GOV. Please reference the notice number “7571TE-NOI-CDC97743 - Integration of the Diabetes Simulation Models into a Unified Backend Platform” on all correspondence.



Capability Statement Submission Instructions: Interested companies should review the information provided and then submit a response that provides feedback, if any, and that addresses all of the information listed. Capability statements and responses shall be submitted via email to contact@example.gov no later than 12:00 PM EST on June 06, 2026. The subject line for the email heading shall be “7571TE-NOI-CDC97743 - Integration of the Diabetes Simulation Models into a Unified Backend Platform” Please provide enough detail and depth to enable Government review and assessment. The due date for receipt of statements is July 31, 2026, 12:00 PM, EST. All responses must be received by the specified due date and time in order to be considered.
Please add a cover letter to your response with the following information:
1.Company Name2.Company Unique Entity ID number3.Company points of contact, mailing address, telephone and website address4.Any Governmentwide Acquisition Contract (GWAC), General Services Administration (GSA) Schedule vehicle, or other available procurement vehicles your company maintains that could meet this requirement5.Business Size relative to NAICS code 513210 - Software Publishers6.Type of Company (e.g., large business, small business, 8(a), woman owned, veteran owned, etc.) as registered in the System for Award Management (SAM)7.Identify any/all teaming arrangements


Disclaimer and Important Notes: This notice does not obligate the Government to award a contract or pay for the information provided in response. The Government reserves the right to use information provided by the respondents for any purpose deemed necessary and legally appropriate. Any organization responding to this notice should ensure that its response is complete and sufficiently detailed.


Information provided will be used to assess tradeoffs and alternatives available for the potential requirement and may lead to the development of a solicitation. Respondents are advised that the Government is under no obligation to acknowledge receipt of the information received or provide feedback to respondents with respect to any information submitted.


Any solicitation resulting from the analysis of information obtained will be announced to the public in SAM in accordance with FAR Part 5. However, responses to this notice will not be considered adequate to responses to a solicitation.


Confidentiality: No proprietary, classified, confidential, or sensitive information should be included in your response. The Government reserves the right to use any non-proprietary technical information in any resultant solicitation(s).


This notice is for information and planning purposes only and shall not be construed as a solicitation or as an obligation on the part of HHS. HHS/OMAS does not intend to award a contract on the basis of responses nor otherwise pay for the preparation of any information submitted. As a result of this notice, HHS/OMAS may issue a Request for Quote (RFQ). THERE IS NO SOLICITATION AVAILABLE AT THIS TIME. However, should such a requirement materialize, no basis for claims against HHS shall arise as a result of a response to this notice or HHS’s use of such information as either part of our evaluation process or in developing specifications for any subsequent requirement. Disclaimer and Important Notes. This notice does not obligate the Government to award a contract or pay for the information provided in response. The Government reserves the right to use information provided by respondents for any purpose deemed necessary and legally appropriate. Any organization responding to this notice should ensure that its response is complete and sufficiently detailed to allow the Government to determine the organization’s qualifications to perform the work. Respondents are advised that the Government is under no obligation to acknowledge receipt of the information received or provide feedback to respondents with respect to any information submitted. After a review of the responses received, a pre-solicitation synopsis and solicitation may be published in SAM.gov. However, responses to this notice will not be considered adequate responses to a solicitation.

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