How it works
- 1Automated infection-control surveillance across the facility
- 2Continuous fall-risk and pressure-injury monitoring via sensors
- 3Protocol-adherence tracking flags deviations as they happen, not weeks later
- 4Quality metrics computed continuously and surfaced to unit leads in real time
Autonomy today
Retrospective chart review and periodic audits remain the norm; real-time QC exists mostly in pilot programs.
In ~5 years
Real-time QC dashboards are standard-of-care infrastructure, with automated regulatory reporting as a byproduct.
Flaws & risks
- Continuous surveillance raises staff surveillance/trust concerns if poorly communicated
- False positive rates must be very low or QC alerts get ignored like any other alert fatigue
Who's building it
Free preview · full directory in ProCLEW MedicalemergingPredictive clinical surveillance
AI-based early detection for ICU deterioration.
Epic Cognitive ComputingmatureQC / risk models embedded in EHR
In-EHR predictive models for sepsis, deterioration, readmission.
Preparation checklist
- Pilot real-time QC on one high-value metric (e.g., sepsis) before expanding scope
- Set explicit false-positive tolerance thresholds with clinical staff up front