NHS Tayside and Fife Accident & Emergency Dataset (PHS/National)

Accident and Emergency Statistics. There are two types: episode and aggregate level data.

Data and Resources

Additional Info

Field Value
Contact Point hicsupport@dundee.ac.uk
Dataset Privacy Tags Maximally Restricted
Dataset Access Requirements
Landing Page https://web.www.healthdatagateway.org/dataset/23d790f2-de80-4c7a-b57a-03c8467c54e9
Tags Accident and Emergency,HIC,Tayside,Fife,Scotland
Publisher Local NHS boards
Geographic Coverage {https://www.geonames.org/2636157/tayside-region.html,http://www.geonames.org/2649469/fife.html}
Start of time period covered by this dataset 2007-01-06
End of time period covered by this dataset
Theme / Category
Access Rights https://researchdata.scot/researcher-support-consultancy-services
Conforms To
Documentation Accident and Emergency Statistics. The A&E datamart was established in June 2007 to monitor the compliance of each NHS Board against the 4 hour wait standard. In July 2010 the A&E data mart was extended further to collect items such as diagnosis, several injury fields and an alcohol involved flag, which will be used to identify whether the patient’s alcohol consumption was a factor in the attendance. The collection of the new fields has been driven by a variety of SG policy decisions and interest from a number of organisations. Although there is now the facility to submit these additional fields, they are still under development and PHS are working with the NHS Boards to support data collection and quality. There are two types of data submitted to the A&E datamart: episode and aggregate level data. All hospitals with Emergency Departments submit episode level data containing a detailed record for each patient attendance. Some smaller sites with minor injury units or community hospitals only submit aggregate files containing monthly summary attendance and compliance figures only. This is because they do not have the information systems and support to enable collection of detailed patient based information. Sites that submit episode level data account for around 94% of all attendances at A&E.
Frequency MONTHLY
Language {en}
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