ClarusC64/clinical-monitoring-order-device-activation-coherence-risk-v0.1
What this repo is for This dataset tests whether a model can detect coupling failures between monitoring orders and actual device activation. It measures alignment between the clinical decision to monitor and the operational reality that monitoring is active with alarms configured and responded to. It predicts unmonitored deterioration false reassurance when alarms are not handled missed escalation after alarm events. You use it for patient safety monitoring clinical AI eval for operational… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-monitoring-order-device-activation-coherence-risk-v0.1.
What this repo is for
This dataset tests whether a model can detect coupling failures between monitoring orders and actual device activation.
It measures alignment between the clinical decision to monitor and the operational reality that monitoring is active with alarms configured and responded to.
It predicts unmonitored deterioration false reassurance when alarms are not handled missed escalation after alarm events.
You use it for patient safety monitoring clinical AI eval for operational follow-through ward telemetry governance audits
