Operations Chief
Combine CAD demand, Unit Hour Utilization, response performance, staffing, fleet readiness, transport and external intelligence to protect coverage, preserve scarce capacity and see where operational strain is building.
Purpose-built capability
Designed around actionable exceptions, visible evidence, role boundaries and accountable follow-through.
Connect CAD demand, acuity, geography, time of day, Unit Hour Utilization (UHU), response performance and unit availability to understand where capacity is needed and whether the deployment model is producing the intended coverage.
Break response time, workload and resource availability down by geography, service area and time period so leaders can see persistent gaps instead of relying only on a systemwide average.
GAGE is designed to help agencies understand which resources are consumed by which demand and where alternate response or transport models may preserve scarce ALS capacity without compromising patient care.
Combine schedules, vacancies, call-outs, overtime, UHU, workload distribution and repeated shift extensions to identify where operational demand may be becoming unsustainable.
Track agency-defined critical-event exposure and make sure welfare or peer-support follow-up does not disappear when the next call drops, while keeping supportive workflows appropriately separated from disciplinary processes.
Relate in-service, limited and out-of-service units to coverage, UHU and district demand instead of treating downtime as a separate maintenance problem.
Operational picture
District 2 demand rising while one ALS unit is OOS
ReviewTwo crews approaching fatigue threshold
OpenHospital offload pressure affecting coverage
ReviewCritical incident acknowledgement overdue
OpenWhy it stands apart
GAGE connects demand, deployment, fleet, staffing, transport and clinical context so command staff can see how one decision affects coverage, response performance, workload and scarce ALS capacity—not merely another departmental metric.
Coming Soon
These integration-dependent and longer-horizon functions will be released after their source data, controls and validation are ready.
Model the consequence before moving the resource: compare current and alternate post plans, station footprints, peak-time units and other deployment strategies against demand, coverage and response-performance goals.
Compare ALS, BLS, QRV / fly-car, critical-care, alternative-transport and other agency-defined resource models to understand potential effects on capacity, UHU, coverage and workload.
Continuous live unit-state streaming, posting recommendations and bidirectional CAD actions beyond the supported operational feeds available at launch.
See how GAGE can connect and analyze the data your agency already produces across its operational systems.