The following table details how we categorise and process different types of local data.
|Data sources (high level)
|Demographic and geographical - our health needs
|Much of this data has been collected already, but it requires benchmarking, from local/community level to whole system level.
|How the system currently operates to meet our needs
The above data can be presented with respect to demographic and geographical attributes.
|Also requires benchmarking, from local/community level to whole system level. Current data must be analysed to find key patterns.
|How people behave in the current system to meet their needs
Community statistics - what people can use compared to what they do use
|Mapping of citizens in different groups, from local to whole system level.
|How data is currently used for change
Is communication used for improvement and change - personal, academic, strategic?
|Survey clinicians, managers and citizens to generate data.
|How the current system learns and develops
Governmental papers on system development.
|Analyse governmental papers linguistically - see which terms form trends, identify developments and initiatives.
|How adaptive and resilient this system is
|Primarily generated by patients in real time - huge value in small data sets and observational data.
|How fit the system is for the future
|Taking all data above and interpreting it through the perspectives of possible, imagined futures.
|Use scenarios from data to tell the current story, then extrapolate and model how this could play out potential future scenarios.