Case Study: fCast™ Hospital Waiting List Improvement
“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
Tallaght University Hospital (TUH) is using MedModus’s fCast™ Waiting List Decision Support System to implement sustainable improvements that will see the number of long waiting outpatients fall by 20% or 1,500 patients compared to last year and avoid a further 5,000 long waiter patients on TUH outpatient waiting lists in the coming 12 months.
Outpatient waiting lists were growing at 500 per month and forecast to reach 30,000 patients by end 2018.
12,000 patients expected to be waiting more than 15 months adding to hospital clinical risk.
Implementing whole system improvement across 20 specialties and 100 clinician outpatient clinics.
Need for a structured system of change implementation and progress tracking.
TUH implemented MedModus fCast™ Waiting List Decision Support System to bring more structure and predictability to improvement efforts.
fCast™ User Interface – inbuilt demand/capacity analysis, chronological scheduling checks, WL initiative capture and dynamic charts
Waiting List Improvement Forecast > 15 months –reduction of long waiters by 1,500 plus sustainable downward trend
Tasks Module Tracking OPD WL Improvement Actions and Accountability