Introduction to Spatial Modeller™
The aim of the service is to allow healthcare provider and commissioner to consider the merits of different reconfigurations against the current provision, or allows providers tendering for healthcare services to improve their bid process. The data can also be used in any public consultation around the planned changes.
Because Spatial Modeller can handle multiple services trusts or commissioning groups can use this to model the effect of combining services with adjacent providers.
- Rationalising services: Model the effect of closing/combining services.
- Handling overload: Model options for handling increased patient demand.
- Trust expansion: Model where to place clinics to tap into more demand.
- Trust sharing: Explore the sharing of services between two hospitals or trusts.
- Localising services: Model best mix of primary and secondary care.
- Public health: Using demographics to find where high risk groups might be.
- Tendering: Model costs and include in bid maps of planned service provision.
And many more…
We Model, You Decide
Selective Analytics will model different configurations of service provision based on a client’s patient data or using demographic data. Our Spatial Modeller™ software does all the ‘heavy lifting’ when it comes to processing and modelling that data.
The results are available online for clients to consult with others and make their decisions. Showing the data, including what is happening now, is a great tool for helping all the stakeholders to see why any change is necessary and what the options are.
Explore in detail
Spatial Modeller™ is designed to allow detailed explorations of maps and charts down to individual disease groups, healthcare locations or patient travel times etc. Some examples of the type of information that can be access is listed below:
- Filter by disease/condition, e.g. only elective patients (see middle picture).
- Find where patients are going, e.g. which clinics do people in RG21 3 go to?
- Find likely demand, e.g. what is the demand at hospital ‘A’ in reconfiguration ‘B’?
- Travel times, e.g. what is the spread of patient travel times to hospital ‘C’?
Predict the effect of each new arrangement
The reason for modelling is to see what might happen before any change is committed to — this is called ‘what-if’ analysis. Through the power of mathematical modelling hundreds of different arrangements can be compared against the current arrangement.
This modelling allows the estimation of the likely change to factors such as demand and patient travel times or economic modelling using your financial data.
Models can be compared with each other and the current arrangement to allow easy selection.
Everything is audited
Transparency and impartiality are extremely important, so Spatial Modeller™ logs everything that happens to the data. It track all input, all modelling and all changes automatically. Selective Analytics uses this information to monitor data integrity but it also allows the client to check all the steps we made to get to the final answer.