Predictive Risk-Stratification Model
The evaluation did not assess the model's prediction accuracy or validity. A single risk score cannot capture the heterogeneous causes of appointment non-attendance. The model used appointment characteristics and history from EHR data to p…
1 sources - 5 claims
The evaluation did not assess the model's prediction accuracy or validity. A single risk score cannot capture the heterogeneous causes of appointment non-attendance. The model used appointment characteristics and history from EHR data to produce a risk score from 0 to 1. The Trust bought an off-the-shelf predictive no-show model from a US-based supplier because it was convenient. The model was a cloud-based random forest originally developed, trained, and calibrated in the United States.