Defense Health Agency Reverse Industry Day

Description

The Defense Health Agency (DHA) lacks an interoperable capability to objectively collect and analyze medical training data across the enterprise, limiting readiness assessment and performance improvement; therefore, the DHA requires a scalable ecosystem that delivers standardized data collection, real-time feedback, and data-driven combat casualty care readiness.

Reverse Industry Day Objectives

Purpose

The Defense Health Agency (DHA) is conducting this Reverse Industry Day as part of ongoing market research activities to better understand current and emerging industry capabilities supporting medical training data modernization across the Joint Force.

The DHA currently lacks an interoperable, enterprise-wide capability to objectively collect, standardize, aggregate, and analyze medical training performance data across the combat casualty care enterprise. Existing training environments rely on disconnected simulation platforms, live exercises, and instructor-driven assessments without a unified data architecture, limiting the ability to objectively measure readiness, identify performance gaps, and support data-driven improvements to combat casualty care outcomes.

This event is intended to:

• Survey existing and emerging industry solutions

• Assess current and future technical capabilities

• Explore interoperability and integration approaches

• Identify scalable architectural concepts

• Help refine and solidify potential Government requirements

The Government recognizes that some desired capabilities may not currently exist as fully integrated solutions and encourages vendors to demonstrate mature technologies, developmental capabilities, modular approaches, and future-state concepts relevant to this problem space.

This Reverse Industry Day does not constitute a formal solicitation, request for proposal, or commitment by the Government to procure any capability or solution.

Desired Operational Capabilities

The Government seeks vendor solutions capable of supporting the following operational objectives:

• Passive collection of medical training performance data with minimal instructor or operator input

• Aggregation of data across:

  • Simulators

  • Field training exercises

  • Live, Virtual, and Constructive (LVC) environments

• Standardized and objective data capture across training systems and organizations

• Real-time performance feedback for students, instructors, evaluators, and leadership

• Advanced analytics capable of identifying:

  • Performance trends

  • Readiness gaps

  • Causative factors

• Longitudinal tracking of individual and team proficiency over time

• Alignment with operational trauma-registry structures, including the Department of Defense Trauma Registry (DoDTR)

• Enterprise dashboards and reporting supporting:

  • Readiness assessments

  • Trend analysis

  • Doctrine refinement

  • Data-driven decision-making

Desired Technical & Architectural Capabilities

Data Ingestion

• Passive ingestion of structured and unstructured data from diverse training systems and operational environments

• Ability to aggregate data from multiple training modalities and distributed environments

Edge Processing

• Edge computing capability supporting disconnected, intermittent, and low-bandwidth environments

• Real-time analytics and feedback at the point of training

Data Architecture

• Automated ETL/ELT pipelines and streaming data ingestion

• Support for enterprise analytics environments, data lakes, warehouses, and curated data marts

Data Schema & Standardization

• Modular, extensible, and standardized data schemas

• Ability to evolve alongside operational requirements and emerging trauma-care doctrine

• Mapping capability to DoDTR structures and related operational data frameworks

Interoperability

• Seamless integration across:

  • Military Departments (MILDEPs)

  • Combatant Commands (CCMDs)

  • Defense Health Agency (DHA)

  • Combat Support Agencies

  • Existing simulation and training systems

Scalability

• Enterprise-wide scalability supporting continuous modernization and future capability expansion

• Flexible architectures supporting iterative development and integration of emerging technologies

Integration & Decision Support

• Integration into operational and strategic decision-support environments

• Support for strategic exercises, readiness analysis, curriculum optimization, and enterprise-level assessments

Industry Engagement Objective

Industry partners are encouraged to demonstrate:

• Mature and emerging capabilities

• Modular and scalable architectures

• Integration and interoperability strategies

• Existing operational use cases

• Developmental roadmaps and future-state concepts

• Lessons learned and implementation considerations relevant to DHA medical training modernization efforts

Date & Time

Aug 25 - 26, 2026

Venue Details

Central Florida Tech Grove

12809 Science Drive
Orlando, Florida 32826

Central Florida Tech Grove