Health informatics / laboratory operations
Follow the work behind a released result.
Replay a synthetic multi-test order as a person, specimen, staff, and health information move through a distributed laboratory service.
SYNTHETIC DATA This simulator does not describe performance at a real laboratory.
The living journey
One encounter. Several routes. One report.
The person leaves the collection centre while the specimens continue through storage, transport, processing, validation, and report return.
Order view
One order, item by item.
A shared encounter does not mean a shared route. Each synthetic item keeps its own status, clock, and exception state.
Operations view
See the synthetic month behind the journey.
A deterministic cohort makes TAT distributions and exception patterns inspectable without presenting them as real laboratory observations.
Order turnaround time
Each bar is a generated order-count bin. It is a modelled demonstration, not a measured laboratory distribution.
Where the work goes
Exception report
| Run | Item | Stage | Issue | State |
|---|
Why this matters
A visible event history makes handovers, waiting, and release controls easier to understand.
Exception desk
0 openReport return
Partial results remain clearly marked until the order reaches a terminal state.
How to read it
The scene is a replay of synthetic events.
Every movement is tied to an order event, timestamp, role, location, and configured route. The simulator demonstrates workflow and quality controls. It does not estimate the performance of a real laboratory.
Arrival, registration, collection, aftercare, departure, return, and report handover.
Collection, labelling, storage, transfer, processing, validation, and referral.
Request, accession, result status, validation, return to collection point, and acknowledgement.