Transforming Medical Operations with Real-Time Geospatial Integration

Client: Defense Health Agency (DHA),  subcontractor to Accenture Federal Services (AFS).
Time frame: 2020 – current (2026)

NGS was engaged to design, integrate, and deploy the DHA Medical Common Operational Picture, a secure, real-time geospatial dashboard that consolidates medical logistics, patient movement, and readiness information from numerous Military Health System sources into a single operational view. The objective was to deliver an enterprise-grade, mission-capable geospatial system that provides commanders and medical staff with timely, accurate situational awareness to support operational medical decision making.

Challenge

An effective Medical COP presented a set of interrelated technical and operational challenges:

• Heterogeneous data sources. The need to ingest and normalize data from over a dozen distinct Military Health System systems of record, each with different formats, interfaces, and update characteristics. Ensuring coherent, timely visualization of all sources was non-trivial.
• Cross-domain and secure aggregation. The program required robust cross-domain replication and secure aggregation of tactical (field) and strategic (headquarters) information without violating security constraints.
• Performance and scale. The system had to support real-time updates and many concurrent users while preserving low latency for map interactions and data queries. Early architectures produced unacceptable latencies under full load.
• Enterprise security/compliance. The solution had to meet DoD security expectations while retaining the flexibility and cost advantages of an open-source stack.

Solution Architecture

NGS delivered the foundational technology stack using a modular CoreSpatial architecture built on proven open-source components, combined with custom integration and hardening to meet DHA’s operational and security requirements. The principal elements:

• CoreSpatial foundation. Implemented using OSGeo components (GeoServer, OSM, and OpenLayers), providing OGC-compliant map services, a user-friendly map management UI, and deployment automation. The open-source foundation enabled extensibility without proprietary licensing constraints.
• Microservices per data source. Each external medical system was integrated with a dedicated microservice responsible for ingest, normalization, and validation. This pattern isolated failures, allowed parallel development, and eased testing of each connector. The microservices exposed secure, internal APIs consumed by the core ingestion pipeline.
• Secure cross-domain replication. A hardened, policy-aware replication mechanism aggregated tactical and strategic streams into a controlled staging zone where data could be sanitized, transformed, and forwarded to application services while preserving required separation and audit trails.
• Data plane optimization (caching & indexing). To meet latency goals, the architecture layered a distributed cache for frequently requested operational views and applied database tuning—GiST and BRIN indexing, partitioning of large tables, and query refactoring—to accelerate spatial queries. These database techniques are part of NGS’s proven approach to reduce response times in geospatial workloads.
• Containerized, cloud/edge deployments. Services were packaged as containers and deployed via Kubernetes for enterprise customers and as lightweight container stacks for constrained tactical environments. The deployment model supports automated scaling and repeatable, secure installs across environments.
• User experience & management. OpenLayers, GeoStyler, and ReactJS provided non-GIS users with drag-and-drop import, layer management, and simple symbology controls so medical staff could focus on operational tasks rather than GIS configuration.

Implementation & Verification

NGS followed an iterative, experimentation-driven development and deployment approach:

• Prototyping and selection. The team prototyped alternative integration patterns (direct live API pulls, centralized warehouse, and microservices) and selected the microservices pattern after testing found it delivered the best combination of responsiveness and operational isolation.
• Integration testing per feed. Each connector underwent automated integration tests and staged ingestion runs to validate parsing, transformation, and UI rendering. Failures discovered during testing led to targeted fixes (for example, normalization rules and buffering logic).
• Load and resilience testing. The team performed load tests that simulated peak conditions with all 14+ sources active and concurrent users. Findings prompted database query optimizations, additional caching layers, and service autoscaling profiles.
• Security hardening and audit. NGS ran security scans and hardened open-source components (GeoServer, PostgreSQL/PostGIS) to align with DoD security requirements and produced audit evidence for the customer.

Results / Outcomes

• Integrated multi-source operational picture. DHA successfully integrated data from more than a dozen heterogeneous Medical System sources into a single, consistent dashboard, enabling cross-source correlation that did not exist in legacy tooling.
• Real-time visibility at scale. After architecture optimizations (caching, indexing, service autoscaling), the team delivered near-real-time updates and maintained responsive map and query performance under full simulated load. Load test findings drove improvements that resulted in a mission-capable platform for operational users.
• Operational readiness and user acceptance. Military medical staff participated in user acceptance testing; iterative UI refinements produced a dashboard that met operational workflows for tracking assets, patients, and readiness.
• Security and deployability. The open-source stack, hardened and containerized, met the program’s security posture and supported repeated deployments from enterprise Kubernetes clusters to smaller edge environments, simplifying sustainment and future enhancements.

Conclusion

The DHA Medical Common Operating Picture demonstrates NGS’s capability to combine an open-source CoreSpatial platform with disciplined engineering practices to solve complex DoD data-integration and operational-scale problems. By adopting a microservices integration pattern, hardening open-source components, optimizing the data plane, and iterating with operational users, NGS delivered a secure, scalable Medical COP that materially improved situational awareness for military medical decision makers. The implementation validates the effectiveness of an open, standards-based architecture for mission systems that require both flexibility and enterprise security.