Learn more about the data quality information and reports on the Emergency Care Data Set (ECDS).
Data quality information and reports on the Emergency Care Data Set (ECDS)
Healthcare providers collect administrative and clinical data locally to support the care of the patient. The data is submitted to the Secondary Uses Service (SUS).
At pre-arranged dates during the year, SUS consolidates those submissions and compiles the data as HES. It is then validated and cleansed, before deriving new items and making the information available in a database. Data quality reports and checks are completed at various stages in the cleansing and processing cycle.
The following interactive report provides a summary of high level counts of the extracts taken from SUS+. The first page gives a breakdown of number of records extracted by data set - Accident and Emergency (AE), Outpatient (OP) and Admitted Patient Care (APC) - and by organisation number and type (NHS and independent providers). The second page shows the number of records deleted from the SUS extract and the reason for the deletion. These removed records will not appear on the final HES data set. The third page offers some notes to clarify concepts or atypical trends.
HES data quality notes
HES Data Quality Notes - The current version of the HES Data Quality Notes has been uploaded with limited functionality due to technical issues with the website. HES Data Quality Notes with full functionality can be requested by emailing HESDQ@nhs.net. We apologise for any inconvenience this may cause and hope to have the issues resolved soon.
DQ Notes M10 2019/20 (Publication)
Latest activity period December 2019
Latest Publication Date: 12/03/2020
Understanding volume of legally restricted codes in HES: April 2017 - March 2018
This document provides HES users a count of legally restricted records in HES from April 2017 - March 2018, by provider, for Admitted Patient Care and Outpatients. It highlights the differences in counts due to additional codes added by SUS+ that have since been reverted.
Automatic data cleaning and derivation rules
We clean the data to improve the consistency and usability of HES data. These rules are used to:
- clean common and obvious data quality errors
- derive additional data items to populate the HES data set
The document and cleaning rule numbering should be used in conjunction with the HES User Data Dictionary.
Provider mapping methodology
How we handle records with an invalid provider code within the HES datasets.
How we identify and handle duplicate records within the HES dataset.
HES patient ID
The HES patient ID (HES ID) provides a way of tracking patients through the HES database without identifying them. It is central to many HES outputs including spell construction, emergency readmissions and linkage to other data sets, such as mortality. We are in the process of enhancing this feature and will publish its methodology as soon as it's released.