Capabilities
Healthcare access in rural America is a systems problem. We treat it as one.
We apply operations research, simulation science, and real-time systems engineering to build software that works in real life, not just on paper.
Optimization
Routing, dispatch, and resource placement for distributed workforces
Which responder, which route, which facility, where to place supply kits, how many providers a region needs. We formulate these as mathematical programs and solve them in operational timeframes. Multi-objective. Stochastic parameters. Real-time re-optimization as conditions change.
Multi-objective. Stochastic parameters. Real-time re-optimization as conditions change.
Simulation
Calibrated agent-based simulation for policy analysis
You can't test healthcare system changes with real patients. We build simulation environments with synthetic decision agents whose behavior is calibrated against real-world data. Run a thousand scenarios, compare outcomes, and quantify the impact of interventions before committing resources.
Monte Carlo methods. Bayesian parameter estimation. Healthcare desert modeling.
Real-Time Systems
Event-driven architecture for distributed coordination
Operational networks are distributed systems with unreliable connectivity, heterogeneous participants, and time-critical state changes. We build infrastructure designed for these realities -- not the clean-room version.
Fault-tolerant messaging. Consistency guarantees matched to domain requirements. Designed for degraded-mode operation.
Data & Integration
Heterogeneous data fusion from operational sources
Coordination requires data from systems that weren't designed to talk to each other. Facility capabilities, provider availability, geographic coverage, road conditions. We build the interoperability layer between what exists and what's needed.
Standards-based where possible. Custom where necessary. Built for the data environments that actually exist, not the ones vendors promise.
Validation
Rigorous methodology for pre-deployment confidence
We don't ship unvalidated systems. Statistical testing against historical data, sensitivity analysis across parameter uncertainty, scenario stress-testing for edge cases, and human-in-the-loop evaluation with domain experts.
Ground truth comparison. Systematic uncertainty quantification. Peer-review mindset.
Field Deployment
Complete coordination systems for organizations starting from scratch
Many of the communities we serve have never had digital coordination tools. We deploy the full stack: ruggedized hardware, satellite and cellular connectivity, mobile applications for field workers, and the training and support to make adoption stick.
Hardware specification. Connectivity planning. Fleet management. We handle the infrastructure so organizations can focus on their mission.
Research Foundation
Coincident Systems emerged from the Department of Industrial & Management Systems Engineering at Montana State University, in collaboration with the BioReD Hub.
Our research focus is modeling human decision-making in resource-constrained healthcare systems. We apply operations research methods, agent-based simulation, and statistical learning to problems where the stakes justify the rigor.
Questions about our approach?
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