Everyone loves a map! Trish Watts and Steve Davies

How many people in this room have ever known someone that has been diagnosed with cancer? 1 in 3 people will be diagnosed with cancer at some point in their life

 UK wide initiative using data to drive improvements in care for cancer patients  At the core of the network are 11 cancer registries covering the UK, who collect cancer data from the hospitals  We work with the Department of Health, cancer charities and the NHS to produce research and analysis Background

 Once data has been collected it can be analysed to produce reports  We try to get statistical proof about cancer causes, treatments and outcomes e.g. Bowel cancer: detected at stage 1 (early) - about 95% of people live at stage 4 (late) - about 95% of people die Get yourself screened!  Needed a way to present this complex information in an easy to use format 2 types of map, dashboard (feedback) and information For example...

The Cancer e-Atlas

 First task is persuade hospital staff to send us their data on time  Required by law to do so, but staff very busy  Map shows who has sent us data, and who is late - all trusts can see each others data  Generated daily – use Excel so staff can review  We got all the missing data the next day! Getting the data

Dashboard Style

Month by month symbols

 Must be able to load at all screen resolutions  Give all required information in one place  Maps load to show basic help text  Lots of context sensitive help  Bars and dots independently controlled Presentation of data

 Maps load to show help text Presentation of data

 Lots of context sensitive help text (metadata) Presentation of data

 Bars, dots and text are independently controlled Presentation of data

 Make map relevant to audience  Buttons and boxes named to fit with function  Help pages give specific user guidance  Map colours – if no targets, can’t show percentiles  Bar colours – percentage, value and ratio Presentation II

Engagement - Where do you live?

Presentation of data  Buttons and boxes named to fit with function edit in config.xml

Presentation of data  Help pages (HTML or PDF) specific user guidance

Presentation of data  Map colours – if no targets, can’t show percentiles

Presentation of data  Bar colours – percentage, value and ratio

 Update and improve the current atlases and looking towards some automation in their production  Encourage the cancer registries who each have a lead for a specific type of cancer to create atlases for their area (we currently have cervical and head and neck atlases)  New visualisations for other data that become available Future developments

Thank you for listening! Please take some information with you Any questions?