Clinical pathways and care decisions.
The problem.
A clinical service runs on a few simultaneous constraints — bed capacity, staffing levels, acute demand, the elective backlog, and the standards a clinician will not bend. Each shift moves all of them at once.
A schedule built in a spreadsheet is solving none of these well. The cost is paid downstream: deferred procedures, weekend overflow, clinicians making the same allocation call three times a week without an audit trail.
The shape of the decision.
Variables: assignments of patients to pathways and slots, staff to shifts, theatre time to specialties. Constraints: clinician-set rules, contractual limits, equipment availability. Objectives: throughput · standards compliance · staff continuity.
How Alpha Z helps.
We translate the planner's working spreadsheet into an optimization program a solver can read. The algorithm returns the plan, or proves the window cannot be satisfied with the current staffing — which is itself useful.
Every assignment surfaces with the constraint that drove it and the trade-off it implies. The clinician keeps the judgment call on the few decisions the model flagged as close — the rest is reviewable, not opaque.