Request for Information (RFI)
Defense Health Agency (DHA) Enterprise Polysomnography (PSG) System
- DISCLAIMER: This is NOT a Request for Proposal (RFP) nor a Request for Quotations (RFQ). It is strictly an RFI and should not be construed as a formal solicitation nor an obligation on the part of the Government to acquire any products or services. Neither unsolicited proposals nor any other kinds of offers will be considered in response to this RFI, and no contract will be awarded pursuant to this announcement. The information requested by this RFI will be used within DHA to facilitate decision making and will not be disclosed outside of DHA. Any information provided to the Government is strictly voluntary and will be provided at no cost to the Government.
- SUBJECT: The Medical Research and Development Contracting Division 2, Defense Health Agency Contracting Activity (DHACA), is seeking information in the form of capabilities statements and availability. This RFI is for fact-finding and planning purposes only. The information will be used in conducting market research to identify qualified, experienced, and interested potential business sources in support of the Government's requirements outlined in Attachment 1, which are subject to change prior to a formal solicitation release. The Government reserves the right to decide whether a small business set-aside is appropriate based on responses to this notice. Contractors are encouraged to inform the Government of any barriers that would prohibit them from competing. Contact with Government personnel, other than those specified in the RFI, by potential offerors or their employees regarding this requirement is not permitted.
3.0 BACKGROUND: The DHA currently faces challenges in effectively diagnosing and managing sleep disorders due to lack of standards and limitations in its PSG capabilities. Specific issues:
- Standardization: There is not a consistent PSG system across the 22 DHA-managed sleep laboratories. This inconsistency can lead to variations in data acquisition and analysis, potentially impacting diagnosis accuracy.
- Network Inaccessibility: Existing PSG systems operate in isolated, "off network" environments. This isolation prevents data transfer between facilities and uploads to the enterprise electronic health record (EHR).
- Data Exchange Obstacles: Due to the lack of network connectivity, sharing PSG data electronically becomes impossible. This hinders:
- Collaboration between sleep specialists across different facilities.
- Timely access to patient information for diagnosis and treatment.
- Potential use of centralized data analysis for research purposes.
- These limitations significantly hinder DHA's ability to efficiently diagnose and manage sleep disorders such as obstructive sleep apnea, narcolepsy, and idiopathic hypersomnia. Additionally, the lack of an enterprise network accreditation raises potential concerns about data security and compliance. As DHA transitions toward greater standardization the goal is to consolidate to a single PSG system for the enterprise while implementing a modernized solution with:
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- Improve the accuracy and efficiency of sleep disorder diagnosis for active-duty personnel, retirees, and their dependents.
- Enhance patient comfort and accessibility to polysomnography studies.
- Integrate seamlessly with the existing DHA EHR.
- Streamline data acquisition, analysis, and reporting processes.
- Foster the adoption of advanced PSG technologies to support future clinical needs.
4.0 SCOPE: The Medical Research and Development Contracting Division 2, DHACA, is issuing an RFI to identify Contractors capable of meeting the Government's requirement. The Government requests a Capability Statement outlining a proposed solution that includes the following:
- Provide effective diagnosis of sleep disorders, enhance patient experiences, and increase overall readiness within the Military Health System (MHS).
- Integrate with MHS GENESIS/Cerner, PACS, and other DHA clinical systems.
- Comply with Department of War (DoW) cybersecurity, identity, and Zero-Trust policies.
- Support all Sleep Study personnel across Continental United States (CONUS) and Outside Continental United States (includes Alaska and Hawaii) (OCONUS) sites.
- Operate effectively in variable network conditions.
- Provide a central system that has central administration, reporting, and access governance.
- Utilize Artificial Intelligence (AI) tools to enhance data acquisition, analysis, and reporting processes.
- A draft implementation plan outlining the potential solution to the Government's requirement. The plan should highlight the key deliverables, timelines, and expectations of each party responsible for delivery, configuration, and final acceptance of the systems, and include the total number of project managers and implementation team(s) involved. Detailed steps and task owners for implementation as well as expected completion time for each task are requested. Please also provide timelines for production and implementation. Implementation is defined utilizing a Go-live date accomplished by full clinical usage of the system with fulfillment of migration requirements with no reliance on the legacy system. In addition, the Government requests feedback regarding potential risks and mitigation strategies.
Vendors may also propose alternative or innovative approaches.
In your capability statement, address how you would deliver/implement the specific tasks outlined in Attachment 1.
Task Areas:
1.0 System Architecture & Availability
2.0 Workstation, DHA EHR, and Operating System (OS) Integration
3.0 Enterprise Workload, Templates, & Reporting
4.0 Hardware & Peripheral Requirements
5.0 Clinical Workflow & Critical Results
6.0 DoW System Integration
- DoW Cybersecurity & Risk Management Framework (RMF) Requirements
5.0 SMALL BUSINESS SET ASIDE: The Government has not determined the set-aside at this time. The Government will use the RFI results in analyzing small businesses' capability to perform this requirement and make its decision.
6.0 RESPONSE INSTRUCTIONS: If your firm can provide the requirements described in the Attachment 1, please provide a Capability Statement to the Medical Research and Development Contracting Division 2, DHACA, Mr. David Daniel, David.r.daniel27.civ@health.mil. A vendor responding to this RFI with generic material only, such as brochures, advertisements, or other generic material, is highly discouraged.
The following information is requested: (1) Capability Statement; (2) company Cage Code, Unique Entity Identifier (UEI), company name, address, point of contact and their telephone number and email address; (3) any small business status (8(a), HUBZone, Service Disabled Veteran Owned Small Business (SDVOSB), women-owned, etc.); (4) indicate which North American Industry Classification System (NAICS) code(s) your company usually performs under for Government contracts.
Maximum participation by small business, veteran-owned small business, service-disabled veteran-owned small business, HUBZone small business, small-disadvantaged business, and women-owned small business concerns is encouraged.
Responses to this notice are not offers and cannot be accepted by the Government to form a binding contract.
Parties may begin submitting responses to this RFI immediately. If the information provided contains propriety information, such information must be clearly identified with appropriate disclaimers.
Submission: Please submit an electronic copy of the capabilities statement in a .pdf file type and via email to Medical Research and Development Contracting Division 2, DHACA, Mr. David Daniel, David.r.daniel27.civ@health.mil. The subject line of the email should be: Enterprise Polysomnography System RFI Response.
Due date: RFI response submission are due no later than 1:00 PM ET on 9 June 2026.
Page Limit: RFI responses shall be limited to 10 pages, not including cover and administrative pages, and written using a 12-point font size. Beyond the 10 page limit, the Government may only review examples of media and graphic design.
THIS IS NOT A SOLICITATION ANNOUNCEMENT OR REQUEST FOR PROPOSALS, AND NO CONTRACT WILL BE AWARDED FROM THIS ANNOUNCEMENT.
Background
The Defense Health Agency (DHA) is seeking to address challenges in diagnosing and managing sleep disorders due to inconsistent polysomnography (PSG) systems across its 22 managed sleep laboratories.
The current PSG capabilities face issues such as lack of standardization, network inaccessibility, and data exchange obstacles, which hinder collaboration among specialists and timely access to patient information.
The DHA aims to consolidate to a single PSG system that enhances diagnosis accuracy, patient comfort, and integration with existing electronic health records (EHR).
Work Details
The DHA is requesting capability statements from contractors that can provide a modernized PSG solution with the following specifications:
1. Effective diagnosis of sleep disorders and enhancement of patient experiences within the Military Health System (MHS).
2. Integration with MHS GENESIS/Cerner, PACS, and other DHA clinical systems.
3. Compliance with Department of War (DoW) cybersecurity, identity, and Zero-Trust policies.
4. Support for Sleep Study personnel across both Continental United States (CONUS) and Outside Continental United States (OCONUS) sites.
5. Functionality in variable network conditions.
6. A central system for administration, reporting, and access governance.
7. Utilization of Artificial Intelligence (AI) tools for data acquisition, analysis, and reporting processes.
8. A draft implementation plan detailing key deliverables, timelines, task owners for implementation, expected completion times for each task, and risk mitigation strategies.
Place of Performance
Continental United States (CONUS) and Outside Continental United States (OCONUS), including Alaska and Hawaii.
