Artificial Intelligence replication of District Hospital Blood Bank Inventory Rotation Under Unmeasured Platelet Aggregometer Drift: A Healthcare Perishable-Stock Robustness Evaluation

Platelet aggregometry drift in district hospital blood banks introduces unmeasured error into the decision to rotate or discard perishable platelet units, yet the robustness of inventory-rotation rules to this error has not been characterised. Six hundred data sets of N = 500 were drawn from a process with intercept 12.0, exposure 0.42, group -3.1, severity 1.35 and error SD 4.2, and the estimator was replicated across all 600 draws. The estimator recovered the exposure coefficient with negligible bias (-0.00089) and RMSE 0.0166, and the intercept with bias 0.05587 and RMSE 0.91641; empirical coverage of the nominal 95% confidence intervals was 1.0 for both parameters. The results indicate that under the stated process the rotation rule is statistically robust to drift of the magnitude encoded in the error term, and that the binding constraint on district-level platelet inventory is not estimator instability but the unmeasured drift itself.