The following table details how we categorise and process different types of local data.
|Data theme||Data sources (high level)||Process|
|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.|