A comprehensive guide to understanding the Capacity-Constrained Triage Model, the cost parameters, and how to use the simulation tools.
In real-world healthcare, resources are finite. We cannot biopsy everyone. This simulation models a scenario where we have a fixed capacity (K) of biopsy slots per day.
We have N patients, but only K slots. Who gets chosen?
We calculate the "Benefit of Referral" for each patient and pick the top K.
If we send a sick patient home, the cancer might progress to a later stage. This leads to significantly higher treatment costs (immunotherapy, surgery, hospitalization). We model this as Cost of False Negative ($).
Each biopsy consumes lab resources, pathology kits, and staff time. We assign a monetary value to this: Cost of False Positive ($).
The dashboard includes a Scenario Generator tool in the sidebar. This allows you to simulate large-scale populations instantly.
We've implemented an Accordion-style control panel for "Global Parameters" to allow for granular ("kalem kalem") adjustments without cluttering the interface. All costs are in USD ($).
Opened via the accordion, this section controls the "penalty" for missing a cancer case.
Formula: Added Cost = Factor × (80 - Age)Controls the "penalty" for unnecessary biopsies.
The model calculates this value for every patient, sorts the entire list, and draws a line after the K-th patient.