OASD_HA_RFI for Artificial Intel and Machine Learning_07232025.pdf

Office of the Assistant Secretary of Defense for Health Affairs

Information Technology and Services

1.0 Description

THIS IS A REQUEST FOR INFORMATION (RFI) ONLY. This RFI is being issued solely for information and planning purposes. It does not constitute a Request for Proposal (RFP) or a promise to issue an RFP in the future. This request for information does not commit the

Government to contract for any supply or service whatsoever. Further, the Office of the Assistant

Secretary of Defense for Health Affairs (OASD(HA)) is not at this time seeking quotes or proposals and will not accept unsolicited proposals.

Respondents are advised that the U.S. Government will not pay for any information or administrative costs incurred in response to this RFI; all costs associated with responding to this

RFI will be solely at the interested party's expense. Not responding to this RFI does not preclude participation in any future RFP, if any is issued.

If a solicitation is released, it may be solicited through the GSA Multiple Award Schedule (if adequate number of responses are received in response to this RFI) or synopsized on System for

Award Management (SAM) website. The North American Industrial Classification (NAICS) codes for this acquisition are 541511 (Custom Computer Programming Services) and 541512

(Computer Systems Design Services). It is the responsibility of the potential offerors to monitor both sites for additional information pertaining to this requirement. The results of this market research may contribute to determining the method of procurement.

2.0 Background

2.1 The Military Health System (MHS) manages a complex, multi-billion-dollar budget to provide healthcare services to over 9 million beneficiaries worldwide. More than 50% of the

Defense Health Program (DHP) Operations and Maintenance appropriation is allocated to

Budget Activity Group (BAG) 2, which funds TRICARE and private sector care.

2.2 The current planning and justification processes are resource-intensive and increasingly require agile, data-informed tools. The Department is exploring how commercial Artificial

Intelligence (AI) and Machine Learning (ML) capabilities can:

• Improve the precision and credibility of budget and forecasting inputs

• Automate the development of Justification Book (J-Book) narratives and exhibits

• Identify and explain trends in health services utilization

• Track and forecast clinical and non-clinical staffing across military medical treatment facilities (MTFs) in support of readiness

2.3 The OASD(HA) is seeking information from industry leaders, academia, and federally funded research and development centers (FFRDCs) regarding innovative and practical uses of

AI and ML solutions to enhance:

• Budget formulation across the MHS

• Forecasting for BAG 2: Private Sector Care (PSC)

• Development of J-Book narratives and exhibits,

• Tracking and forecasting of manpower across MTFs.

3.0 Requested Information

The OASD(HA) is seeking the following:

3.1 Companies/Vendors who possess the expertise, capabilities, and experience to meet the requirements of the OASD(HA) needs for AI/ML solutions in healthcare budget formulation and workforce management.

3.2 If your organization has the potential capacity to perform these contract services, please provide detailed information addressing:

3.2.1 Description of proposed capability or solution, to include:

(a) Predictive Modeling for Private Sector Care (BAG 2) Projections - Capabilities for forecasting private sector care costs and utilization patterns

(b) AI for Program Objective Memorandum (POM) Decision Support - Tools for budget planning and resource allocation optimization

(c) Narrative Automation for Justification Books (J-Books) - AI-powered generation of budget justification documentation

(d) Workforce Analytics and Forecasting - Predictive capabilities for clinical and non-clinical staffing requirements

(e) Integration and Data Fusion Capabilities - Ability to work with existing DoD/MHS data systems and formats

(f) Commercial or Government Use Cases - Demonstrated experience with similar implementations

3.2.2 Pilot Recommendations - Proposed phased implementation approach

3.2.3 Technical maturity of products/capabilities

3.2.4 Required inputs, data formats, and system dependencies

3.2.5 Performance metrics to assess impact and outcomes

4.0 Responses

4.1 Responses in Microsoft Word or PDF format are due no later than 30 August 2025, 5:00

PM EST . Responses shall be limited to 10 pages and submitted via e-mail to marki.d.settles.ctr@health.mil, Contract Specialist, and Jeanna.m.butler.civ@health.mil, Contracting Officer. Please use the following title in your email subject line: Artificial Intel and

Machine Leaning RFI. Proprietary information, if any, should be minimized and MUST BE

CLEARLY MARKED. To aid the Government, please segregate proprietary information. Please be advised that all submissions become Government property and will not be returned.

4.2 Section 1 of the White Paper shall provide administrative information, and shall include the following at a minimum:

4.2.1 Name, mailing address, phone number, and e-mail of designated point of contact.

4.2.2 In order for the Government to assess the market capability of your company or organization for AI/ML solutions in healthcare budget and workforce management, please provide the following company information:

a. Company Name

b. Unique Entity ID

c. CAGE Code

d. Applicable NAICS Codes

e. Business size status and date of last certification

f. Applicable GSA SINs [to include description of SIN product/service classification/ description]

g. All Applicable Contract Numbers [i.e. GSA OASIS+, GSA Multiple Award Schedules, CIO-SP3, etc.] (This information is for market research only and does not preclude your company from responding to this notice.)

5.0 Summary

THIS IS A REQUEST FOR INFORMATION (RFI) ONLY to identify sources that can provide AI and ML solutions for budget formulation, forecasting, and workforce management within the Military Health System. The information provided in the RFI is subject to change and is not binding on the Government. The OASD(HA) has not made a commitment to procure any of the items discussed, and release of this RFI should not be construed as such a commitment or as authorization to incur cost for which reimbursement would be required or sought. All submissions become Government property and will not be returned. Telephone inquiries will not be accepted or acknowledged, and no feedback or evaluations will be provided to companies regarding their submissions.