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Waiting List > Overview

Get a clear snapshot of outpatient waiting list pressure, including long waits, booking status, and risk across specialties.

Location in SystemView: Outpatients > Waiting List > Overview

In this article:


What it is

The Waiting List Overview component provides a high-level view of outpatient waiting list performance, with a focus on long waits, booking status, and potential future breaches.

It brings together trends, specialty-level breakdowns, and booking status to help users understand where pressure exists and how it is distributed across services.


Why it matters

Identify where waiting list pressure exists now and where future risk is emerging.

This component supports both operational and strategic visibility of outpatient demand by highlighting long wait patients, unbooked referrals, and patients at risk of breaching.

  • Identify specialties contributing most to long wait patients
  • Monitor patients already over target or approaching breach
  • Understand booking status across the waiting list
  • Support prioritisation of booking and clinic capacity

How to use it

Filter to focus your view

Use the filters at the top of the component to refine the data:

  • District – Filter the view by health district or region to analyse waiting list performance across a broader geographic area or organisational grouping of facilities.
  • Facility – Select one or more hospitals or sites
  • Clinic Type – Filter by clinic type (for example, reportable or non-reportable / public or private)
  • Specialty – Focus on specific clinical specialties
  • Category – Filter by clinical priority category
  • NRFC – Filter based on Not Ready for Care status (if applicable)
  • Patient List – Drill through to patient-level detail

These filters allow you to isolate specific cohorts, such as unbooked long wait patients in a single specialty, and move quickly to patient-level views.

💡 Tip: Use the Patient List button to view and export patient-level details for your applied filters. The list is automatically sorted by wait days, with the longest-waiting patient displayed first. See How to export from SystemView › for instructions

Explore waiting list pressure and booking risk

Tile / Chart What it shows
Long Wait Patients by Category (line chart) Trend of patients who are over their clinically recommended waiting time, split by category, including total long waits.
Booked to Breach Referrals by Category (line chart) Patients who have an appointment booked but are expected to exceed their recommended waiting timeframe by their appointment date.
Long Wait Referrals by Specialty – Top 10 and Other (pie chart) Proportion of long wait patients by specialty, grouped into top contributing specialties.
Long Wait Referrals by Specialty – Top 20 (bar chart) Number of long wait patients by specialty, ranked from highest to lowest.
Unbooked Referrals by Wait Group (pie chart) Breakdown of unbooked patients by wait status (for example, long wait, within target, at risk, undefined).
Unbooked Referrals by Wait Group – Top 20 Specialties (stacked bar chart) Unbooked patients split by wait group across the top 20 specialties.
Booked Referrals by Wait Group (pie chart) Distribution of booked patients by wait status (for example, in time, at risk, beyond breach, long wait, undefined).
Booked Referrals by Wait Group – Top 20 Specialties (stacked bar chart) Booked patients by wait group across the top 20 specialties.

How it works

The component aggregates outpatient referral data from source systems and categorises patients based on:

  • Clinical priority category
  • Time waited against recommended timeframes
  • Booking status (booked or unbooked)
  • Risk of breach based on scheduled appointment timing

Long wait patients represent those who have exceeded their clinically recommended waiting time, while “booked to breach” identifies patients who are already scheduled but are expected to exceed that timeframe.

All data reflects the latest available update from the source system and is not modified within SystemView.

ℹ️ Note: Long Wait may be displayed as Overdue or Over Target in your SystemView environment.


How it helps you

This component supports multiple levels of decision-making across outpatient services:

  • Operational users (for example, bookings teams) can identify which patients or specialties to prioritise for scheduling
  • Service managers can monitor performance and emerging risks across clinics
  • Executives can view system-wide waiting list pressure and trends

It enables faster movement from high-level insight to patient-level action, supporting more informed scheduling and planning decisions.


Best practices

What to do How often Who typically does this Why it helps
Review over target patients and total long waits Daily or weekly Outpatient Nurse Unit Manager, Admin Coordinator, Clinical Nurse Maintains visibility of current waiting list pressure and highlights areas requiring immediate attention
Monitor booked to breach trends Weekly Business Manager, Divisional Director, Service Improvement Officer Identifies future risk driven by current bookings and supports proactive capacity planning
Prioritise unbooked long wait patients Daily Bookings Officer, Admin Coordinator Focuses effort on the highest-risk patients who have not yet been scheduled
Review specialty-level breakdowns Weekly or monthly Clinical Director, Divisional Director, General Manager Highlights which specialties are contributing most to waiting list growth and long waits
Compare booked vs unbooked wait groups Weekly Outpatient Nurse Unit Manager, Business Manager, Service Improvement Officer Provides a balanced view of current backlog and effectiveness of booking practices
Drill down to patient-level detail when needed As required Bookings Officer, Clinical Nurse, Admin Coordinator Enables action by identifying specific patients behind aggregate metrics
Apply filters to focus on relevant cohorts Every use All users Ensures analysis is targeted and relevant to the user’s role, facility, or specialty

Pair with these components

Use the Waiting List Overview alongside related components to build a more complete understanding of outpatient demand and performance:

  • 🔗 Waiting List > Trends
    Use this to understand how the waiting list is changing over time, including growth in long waits and overall referral volumes. This complements the Overview snapshot with historical context.
  • 🔗 Waiting List > Patient List
    Drill down from high-level insights in the Overview to patient-level detail. This supports booking, validation, and follow-up actions.
  • 🔗 Wait Times > Current Waiting List
    Explore how long patients have been waiting using distribution views (for example, percentiles). This adds depth to long wait analysis.

Tips for success

  • Start broad, then narrow your focus
    Begin with an all-facility or all-specialty view, then apply filters to isolate specific services or cohorts.
  • Look beyond totals
    Total referrals alone do not show risk. Focus on long waits, unbooked patients, and booked to breach cohorts.
  • Use multiple views together
    Combine category, specialty, and booking status views to understand both scale and distribution of demand.
  • Check booking status alongside wait time
    A patient being booked does not necessarily mean they are within target. Review booked to breach and long wait groups together.
  • Validate insights with patient-level data
    Use the Patient List to confirm patterns and support operational action.
  • Be aware of local configuration
    Filters, categories, and definitions may vary by organisation. Interpret results in line with local setup and reporting rules.