Health services design
Design the structure, staffing, interfaces, and capacity needed for a medical or health service to meet demand.
We work where broad advisory teams usually miss the technical detail: casualty load, evacuation, treatment capacity, staffing, supply, readiness, governance, and surge. The output is a short set of options, the assumptions behind each one, the evidence used, and the risk that remains.
Typical questions: Can the service absorb demand? Where does capacity fail? What should be funded first? Who owns the risk? What can leadership approve?
Design the structure, staffing, interfaces, and capacity needed for a medical or health service to meet demand.
Measure doctrine, equipment, personnel, training, sustainment, and governance against the demand the service must absorb.
Define roles, decision rights, command relationships, escalation paths, and patient or casualty flow.
Sequence what to build, what to fund, what can wait, and what risk remains.
Test who owns the risk, who sees the evidence, who can intervene, and what assurance is missing.
Stress-test plans against demand, enemy action, degraded conditions, resource limits, and time pressure.
We start by writing down the question the engagement has to answer. Then we collect evidence, test options, write the recommendation, and hand over the material needed to explain or update the work.
State the question, audience, deadline, constraints, and risk tolerance.
Collect demand, capacity, readiness, dependencies, and failure points.
Compare options against doctrine, resources, timelines, known gaps, and sensitivity to assumptions.
Produce the operating model, laydown, governance changes, or investment sequence.
Provide the model, assumptions, evidence log, and briefing pack.
Each domain is scored against a named standard and the demand it must meet. The output is a ranked list of gaps, evidence, owners, and actions required, not a heatmap for its own sake.
IllustrativeExample only. A real assessment uses your evidence, standards, and target date.
Our clients are accountable for health services where bad assumptions create clinical, operational, or governance risk.
Casualty estimates, force health protection, evacuation, treatment capacity, and sustainment for large-scale operations.
Capacity, workforce, emergency care, reform, and surge planning across a jurisdiction.
Hospital and network resilience: critical services, staffing, escalation, infrastructure, and demand spikes.
You should be left with the recommendation, the assumptions, the evidence, the risk, and the material needed to explain it.
We carry no product or vendor stake. The recommendation is the one the evidence supports, whether or not it leads to more work for us.
No vendor stakeWe use the doctrine, standards, and staff language your organisation uses every day.
AJP-4.10 · APP-23Findings tie back to data, modelling, interviews, observed practice, or named assumptions.
Modelled · sourcedYou receive the model, assumptions, evidence log, briefing pack, and instructions for updating the work.
Method handed overInclude what must be decided, the deadline, audience, sector, and constraints. We will reply directly with what we would produce, or say if it is outside our work.