Waiting List Improvement

Reversing the trend – reducing outpatient waiting lists by 30%

About Tallaght University Hospital

Tallaght University Hospital (TUH) is one of Ireland’s major academic teaching hospitals. With 562 beds, 12 theatres and 14 critical care beds – the 3,000 staff treat over 410,000 patients per year.
TUH was looking to implement sustainable improvements to reverse upward growth of outpatient waiting lists.

The Challenge

  • Outpatient waiting lists growing at 800 per month and forecast to reach 35,000 patients by the end of 2019
  • 12,000 patients expected to be waiting more than 15 months – creating significant clinical risk.
  • The requirement was for whole system improvement across 20 specialties and 100 clinician outpatient clinics.
  • There was a need for a structured system of change implementation and progress tracking.

“fCast delivers a very structured waiting list improvement methodology. Predictive analytics give TUH more certainty about the likely impact of cost neutral improvement measures. The system is giving us the confidence that upward waiting list trends will be reversed.”

David Slevin, CEO, Tallaght University Hospital

How MedModus Helped

Tallaght University Hospital implemented fCast™ Waiting List Decision Support System to bring more structure and predictability to improvement efforts.

Forecasting Trends

fCast™ algorithms used activity and waiting list information to automatically forecast 12-month trends across TUH’s 280 outpatient, inpatient and day case specialty and consultant waiting list combinations.
The fCast™ interface allows easy service capacity and activity effectiveness analysis. Weekly automated reports compare actual and planned activity levels for future clinics to help increase clinic utilisation and avoid unused capacity.

Waiting List Improvements

Waiting list improvement initiatives, the majority of which are cost neutral or require no investment, are planned with clinicians and captured for each of the fastest growing waiting list specialties. The impact of these improvements is reflected dynamically in the application and committed to a database.
The solution’s Tasks module ensures all tasks and responsibilities are tracked to provide complete delivery transparency and accountability.

The Result

Improvement progress is tracked monthly and implementation will see 9,000 (-30%) fewer patients than forecast.

“We will have 9,000 fewer patients on our outpatients waiting lists and fCast has been central to that improvement.”

John Kelly, COO, Tallaght University Hospital