Ambulance Utilisation Insights

Ambulance Utilisation Insights

Who this is for:

EMS Directors, Fleet Managers, Dispatch Supervisors, Data Managers, QA Officers

Prerequisites:

  • Ambulances registered in Ambulensi

  • GPS devices installed and correctly mapped to ambulances

  • Incidents logged with accurate status updates

  • Access to the Analytics or Dashboard module

Overview

Ambulance Utilisation Insights in Ambulensi combines real-time GPS data with incident and dispatch records to provide insight into how ambulance fleets are used, how efficiently they respond, and where system gaps exist.

This functionality supports:

  • Operational decision-making by dispatch centres

  • Fleet performance monitoring

  • Quality assurance and audit processes

  • Strategic EMS planning at regional and national level

What Ambulance Utilisation Insights Measures

  1. Ambulance Movement & Location

Using GPS data, Ambulensi tracks:

  • Real-time ambulance positions

  • Routes taken to scenes and facilities

  • Distance travelled per incident

  • Time spent moving vs stationary

This information feeds both live dispatch decisions and retrospective performance analysis.

  1. Fleet Utilisation


Fleet analytics helps answer:

  • How often each ambulance is used

  • Which units are over-utilised or under-utilised

  • How much time ambulances spend:

    • Engaged in incidents

    • Available but idle

    • Non-operational

Typical metrics include:

  • Trips per ambulance

  • Engaged time

  • Idle time

  • Utilisation rate (%)

  1. Response Time Drivers

By combining GPS movement with incident timestamps, Ambulensi allows analysis of:

  • Dispatch-to-en-route delays

  • Travel time to scene

  • Transport time to facility

  • Geographic or traffic-related delays

This helps distinguish between:

  • Dispatch workflow delays

  • Distance or coverage-related delays

  • Traffic or infrastructure constraints

  1. Geographic Coverage & Gaps

Ambulance Utilisation Insights supports:

  • Identification of high-demand corridors

  • Detection of areas with slow response times

  • Recognition of zones with limited ambulance coverage

These insights are critical for:

  • Ambulance base planning

  • Shift scheduling

  • Resource redistribution

How to Access Ambulance Utilisation Insights

  1. Log in to Ambulensi.

  2. Navigate to Analytics or Dashboard (depending on system configuration).

  3. Select relevant reports such as:

    • Fleet utilisation

    • Response time analysis

    • Incident summaries

  4. Apply filters:

    • Date range

    • Ambulance

    • Location or facility

  5. Review charts, tables, and maps generated from GPS-linked data.

Common Use Cases

  • Identifying ambulances that are consistently overworked

  • Justifying additional fleet procurement

  • Optimising ambulance distribution

  • Supporting EMS performance reports

  • Informing policy and funding proposals

  • Conducting QA reviews of dispatch and response performance

Common Issues & Interpretation Tips

  • GPS data appears incomplete

    • Ambulance may have been offline

    • GPS device may have lost network connectivity

    • Offline data may not yet have synced

  • Low utilisation does not always mean inefficiency

    • Some ambulances may be positioned for surge or backup capacity

    • Rural coverage may require idle readiness

  • High response times are not always dispatcher-related

    • Long travel distances

    • Poor road infrastructure

    • Traffic congestion

    • Limited facility availability

Analytics should always be interpreted in operational context.

Best Practices

  • Ensure GPS devices are checked daily

  • Encourage EMTs to update statuses in real time

  • Review fleet analytics weekly at dispatch level

  • Conduct monthly fleet and response-time reviews at regional level

  • Use analytics trends—not single incidents—for decision-making

When to Raise a Support Ticket

  • GPS data missing across multiple ambulances

  • Fleet analytics showing inconsistent or impossible values

  • Analytics dashboard failing to load or refresh

  • GPS data not aligning with incident records system-wide

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