Providing the evidence to make, and support, the right decision
In these times there is a need to reconfigure services to both improve service delivery and cut costs. However any major change needs to be thoroughly researched and backed by solid, unbiased evidence. Our independent, mathematically-based analysis and modelling can ensure you and your stakeholders have considered all the options, and allow you to communicate your views to the public. We can model:
- Model different combinations of service locations, is ABC better than BCD?
- If we close hospital ‘A’ where will patients need to go for procedure xyz?
- What is the minimum number of locations we need to cover our rural population?
- We need patient access figures to support the proposed changes.
I have been extremely impressed by the level of commitment, support and knowledge (both of our circumstances and the optimum modelling techniques) displayed by the Selective Analytics team and we would certainly use them again on similar projects.
Predicting patient preference before reconfiguration
Typical projects we have be engaged in are:
- Modelling the effect of closing a hospital in Derby. See quote above right.
- Choosing where to run TIA clinics and predicting demand.
- Estimating demand for a particular procedure based on patient demographics.
- Finding the best places for HIV laboratory testing across South Africa.
- Modelling the best locations for new clinics in Leeds.
More about our services
Our healthcare services are all around geographic and demographic modelling. Our models allows you to investigate different options for reconfiguration and look at their possible effects on patient access, demand etc. This provides you with a set of independent, evidence-based findings to inform your decisions (see here for more on spatial modelling).
Our results are presented in a form that communicates the options quickly and powerfully. This is called data visualisation and is a powerful tool for helping all stakeholders understand the output of any consultation process. It is also vitally important when communicating changes to the general public (see here for more on data visualisation).
Link to Case Studies
- Effect of closing a hospital more…
- Best places for HIV testing in South Africa more…
- Placing Clinics in Leeds project more…