Service Capacity Analysis
Optimising resources to help those in distress when they need it
About Pieta House
Pieta House provides free therapeutic support to people who are feeling suicidal or engaging in self-harm, as well as suicide bereavement services. There are 15 centres across Ireland with 270 therapists and administration staff helping 8,000 people a year.
The Challenge
Pieta House opened five new centres in a short timeframe to meet growing demand. The organisation needed more transparency in terms of access to its services and effective utilisation of its therapists. This information was vital to anticipating and meeting waiting for time targets for each service and planning for service growth.
How MedModus Helped
Detailed service capacity analysis was carried out to understand the relationship between demand, activity and waiting times for each service.
Implementation of Microsoft Power BI ensured service capacity could be easily monitored and sustainably improved.
Implementation of Microsoft Power BI ensured service capacity could be easily monitored and sustainably improved.
“MedModus brought clarity to the effectiveness of our services in terms of meeting wait time standards and effectively utilising our therapy resources.”
Brian Higgins, CEO, Pieta House
Service Capacity Analysis
Analysis of waiting lists, activity and staff planning extracts gave a complete picture of service capacity using PowerPivot modelling.
By breaking down waiting times for each step of the therapy pathway, Pieta House could easily understand the performance of individual centres for different levels of risk.
By breaking down waiting times for each step of the therapy pathway, Pieta House could easily understand the performance of individual centres for different levels of risk.
By comparing actual therapy time to planned activity, it was possible to identify opportunities for reallocating resources to improve wait times.
Microsoft Power BI
In order to continuously monitor and optimise operational performance, Microsoft Power BI was connected directly to Pieta’s appointment system.
A suite of performance dashboards was developed and training provided to users.
A suite of performance dashboards was developed and training provided to users.
The Result
Pieta House is now able to easily monitor waiting times and allocate resources effectively across all its centres – allowing them to deliver help to those in need when they need it most.
“MedModus brought clarity to the effectiveness of our services in terms of meeting wait time standards and effectively utilising our therapy resources.”
Brian Higgins, CEO, Pieta House
Case Studies
Naas General Hospital
BI for operational excellence: reducing Emergency Department boarding by 25% …
Tallaght University Hospital
Waiting list improvement: reversing the trend – reducing outpatient waiting …
Temple Street
Operating Room Efficiency: unlocking insights to transform utilisation and capacity …