Sanome - Clinical Decision Support Tool
Fabric Score 4.1
PublicHealthSanomeNon-GenAI modelDeveloper ×1
Workflow Diagram
Fabric Score
Task
In-patient early warning system for the prediction of a hospital acquired infection.
Intent
AI Clinical Decision Support - supporting clinical teams to identify emerging risks in patients with acute neurological injuries and/or neurological conditions earlier.
AI Workflow
Input
EHR data from in-patients with acute neurological injuries and/or neurological conditions.
Process
The AI system generates a risk score for the onset of a hospital-acquired infection (HAI), with alerts triggered when values exceed a pre-set threshold.
Output
Alerts are displayed alongside next-best actions determined by hospital care pathways. The clinician retains responsibility for patient management decisions.
Human Oversight Level
Human-Led with AI Assistance
Institutional Oversight Examples
- •Medical Device Regulations
- •Digital Clinical Safety Practice
- •Data Protection (Regulation)
- •Equality and Health Impact Assessment
Risk
Clinicians could become fatigued from alerts.
Output Modification Telemetry
Not reported for this deployment.
Transversal Metrics
Grouped by Fabric dimension.
Efficacy
Accuracy85 %
Efficiency
Modification Rate0 %
Modification Time0 min/output
Verification Time1 min
Rejection Rate0 %
Operational Friction4 hrs/wk
Implementation Overhead500 hrs
Governance Overhead200 hrs
Time to Launch20 wks
Value
Effort Reduction30 %
Risk
Reliability1 incident/month
Autonomy90 %