The Office of the Assistant Secretary of Defense for Health Affairs (OASD(HA)) has issued a Request for Information (RFI) to identify AI and Machine Learning (ML) solutions for enhancing budget formulation, forecasting, and workforce management within the Military Health System (MHS). This RFI seeks information from industry, academia, and research centers on capabilities for predictive modeling of private sector care costs, AI for budget planning, narrative automation for justification books, workforce analytics, and data integration. The goal is to improve the precision and credibility of budget inputs, automate documentation, identify health service utilization trends, and forecast staffing. Responses are due by August 30, 2025, and should include proposed solutions, pilot recommendations, technical maturity, data requirements, performance metrics, and company administrative information. This RFI is for planning purposes only and does not constitute a commitment to procure any services.
The Office of the Assistant Secretary of Defense for Health Affairs (OASD(HA)) has issued a Request for Information (RFI) to explore the use of Artificial Intelligence (AI) and Machine Learning (ML) solutions for improving budget formulation and workforce management within the Military Health System (MHS). This RFI seeks insights from industry, academia, and research institutions to identify innovative AI/ML applications that enhance budget accuracy, automate report generation, and predict staffing needs across military medical facilities. The OASD(HA) emphasizes that this RFI is for planning purposes only and does not signify any contract obligations or procurements. Interested parties are invited to provide details on their AI/ML capabilities, including predictive modeling, AI tools for budget decision support, narrative automation strategies, and workforce analytics. Responses are due by August 30, 2025, and will aid in determining future procurement methods. The document outlines essential requirements for respondents, including company information and proposed solutions, while establishing that submissions will be treated as proprietary information and retained by the Government. This approach reflects the OASD(HA)'s commitment to leveraging advanced technology for improved healthcare administration and resource management.