RFI - DHA Enterprise Polysomnography (PSG) System

Statement of Work (SOW) / Performance Work Statement (PWS)

To establish an enterprise network-accredited Polysomnography (PSG) capability for the Defense Health Agency (DHA) to improve the diagnosis and management of sleep disorders, ensuring compliance with Combatant Command (COCOM) Deployment Fitness/Medical Suitability standards.

This document outlines the requirements for a comprehensive PSG enterprise capability. Key areas include:

• Business Requirements: Mandates bi-directional data flow with Electronic Health Records (EHR) for PSG, Home Sleep Apnea Test (HSAT), and actigraphy systems. Requires compliance with COCOM and Service-specific deployment standards, enterprise equipment standardization, real-time scoring and analysis, adherence to American Academy of Sleep Medicine (AASM) standards, and proper record management per National Archives and Records Administration (NARA) guidelines. Data must be stored for a minimum of five years.

• Functional Requirements: Specifies integration of reports, data, and DICOM images with PACS and MHS-EHR. Requires capture of various physiological signals (EEG, EOG, ECG, airflow, SpO2, respiratory effort via multiple methods), actigraphy, audio/sound recording, and continuous video monitoring. Supports Type I-IV PSG testing, documentation of recognized sleep study scales (e.g., Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index), and calculation of indices like AHI and RDI with defined severity levels. Requires integration of CPAP and other therapy compliance data. Includes requirements for AI-powered sleep analysis and reporting, with specific accuracy and reliability metrics (e.g., Cohen’s Kappa >0.75, F1 score >0.80 for AHI).

• Wearable Monitoring: Requires support for both short-term and longitudinal wearable monitoring for sleep and circadian concerns, utilizing devices with specific measurement technologies (e.g., PPG, Accelerometer, Gyroscope, Skin Temperature, Skin Conductance, Ambient Light, Forehead EEG). Devices must have public validation data against clinical polysomnography with specified Cohen's Kappa and F1 scores. Includes requirements for data download, graphical display, and tabulated/high-resolution data export.

• Home Sleep Test (HST): Requires FDA-cleared devices for HST with options for EEG and respiratory channels, validated against clinical polysomnography.

• AI capability must meet specific accuracy thresholds (e.g., >80% accuracy, Cohen’s Kappa >0.75, F1 score >0.80 for AHI).

• Wearable devices must demonstrate validation against clinical polysomnography with Cohen's Kappa >= 0.7 and F1 score >= 0.7.

• Adherence to AASM standards and inter-scorer reliability.

Not explicitly stated in this document, but implies an enterprise-wide deployment within DHA facilities.

• Cybersecurity & RMF: Vendors must possess a current Authorization to Operate (ATO) or commit to the DHA RMF process. Compliance with cybersecurity, HIPAA, and B2B requirements is mandatory. RMF approval must be maintained for a minimum of 6 years, including post-warranty.
• Data security and compliance with NIST standards for AI capabilities.

Request for Information (RFI)

This RFI is issued by the Defense Health Agency (DHA) Contracting Activity (DHACA) for fact-finding and planning purposes. The DHA is seeking information on capabilities and availability for an Enterprise Polysomnography (PSG) System. This RFI is not a solicitation, and no contract will be awarded. The information gathered will be used to facilitate decision-making regarding future procurement.

The DHA currently faces challenges with its existing PSG systems, including:

• Lack of standardization across 22 sleep laboratories, impacting data acquisition and analysis accuracy.
• Network inaccessibility, isolating systems and preventing data transfer to the enterprise electronic health record (EHR).
• Hindered collaboration among sleep specialists and timely access to patient information due to data exchange obstacles.
• Potential security and compliance concerns due to the lack of enterprise network accreditation.

The DHA aims to consolidate to a single PSG system to improve:

• Accuracy and efficiency of sleep disorder diagnosis.
• Patient comfort and accessibility.
• Integration with the existing DHA EHR.
• Data acquisition, analysis, and reporting processes.
• Adoption of advanced PSG technologies.

Vendors are requested to provide a Capability Statement addressing how they would meet the following requirements:

1. Provide effective diagnosis of sleep disorders and enhance patient experiences.
2. Integrate with MHS GENESIS/Cerner, PACS, and other DHA clinical systems.
3. Comply with Department of War (DoW) cybersecurity, identity, and Zero-Trust policies.
4. Support personnel across Continental United States (CONUS) and Outside Continental United States (OCONUS).
5. Operate effectively in variable network conditions.
6. Provide a central system with administration, reporting, and access governance.
7. Utilize Artificial Intelligence (AI) tools for data analysis.
8. A draft implementation plan, including deliverables, timelines, responsibilities, and expected completion times.

Vendors should also provide feedback on potential risks and mitigation strategies. Alternative or innovative approaches are welcome.

• Format: Electronic copy in .pdf format.
• Submission Method: Email to Mr. David Daniel at David.r.daniel27.civ@health.mil.
• Subject Line: "Enterprise Polysomnography System – RFI Response."
• Due Date: No later than 1:00 PM ET on June 9, 2026.
• Page Limit: 10 pages (excluding cover and administrative pages), using a 12-point font.

No determination has been made regarding a small business set-aside at this time. The Government will use RFI results to analyze small business capabilities.

• Capability Statement
• Company Cage Code, UEI, name, address, point of contact, telephone, and email.
• Small business status (e.g., 8(a), HUBZone, SDVOSB, women-owned).
• North American Industry Classification System (NAICS) codes the company performs under.