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 includes 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.
The underlying MAV systems is agnostic to any specific medicines and conditions. Below is a worked example of the general purpose MAV tool, with a focus on medicines and heat. In the general purpose version, the clinician chooses the medicines and the conditions and sets the risk parameters.
It is a clinical reasoning and simulation specification, not an autonomous prescribing or diagnostic system.