Medication-Attributable Vulnerability (MAV) predictor that estimates how a medicine, medicine class, or medicine combination contributes to patient vulnerability in a specific patient and supports simulation of safer alternatives.
The overall model involves a design architecture for frail, institutional, monitored, or otherwise high-risk patients by adding an N-of-1 personalised real-time risk probability using remote vital-sign monitoring and longitudinal patient baselines. The resulting system distinguishes the medicine-attributable contribution from the patient’s dynamic 24–48 hour probability of emergent clinical risk.
It is a clinical reasoning and simulation specification, not an autonomous prescribing or diagnostic system. It looks something like this: