2. Developments
Systemwatch : New platform last year, cover after lunch
Re-admissions : UC Programme Board / Discovery
Exploring excluding electives from denominator
Site and speciality
A&E Datamart / Pointillist : ISD pilot to move to weekly data submission
Aim to replace the pointillist data flow
Unscheduled Care Collaborative Data : Includes: Time in ED, weekly trends
Add: Age, time of day, referral, SIMD, admit
3. Insights should be meaningful not misleading
β’ Q1.1 Statistics should be based on data sources that are appropriate for the intended uses. The data sources
should be based on definitions and concepts that are suitable approximations of what the statistics aim to
measure, or that can be processed to become suitable for producing the statistics.
β’ Q1.2 Statistics producers should establish and maintain constructive relationships with those involved in the
collection, recording, supply, linking and quality assurance of data, wherever possible.
β’ Q1.3 A clear statement of data requirements should be shared with the organisations that provide that data,
setting out decisions on timing, definitions and format of data supply, and explaining how and why the data
will be used.
β’ Q1.4 Source data should be coherent across different levels of aggregation, consistent over time, and
comparable between geographical areas, whenever possible.
β’ Q1.5 The nature of data sources used, and how and why they were selected, should be explained. Potential
bias, uncertainty and possible distortive effects in the source data should be identified and the extent of any
impact on the statistics should be clearly reported.
β’ Q1.6 The causes of limitations in data sources should be identified and addressed where possible. Statistics
producers should be open about the extent to which limitations can be overcome and the impact on the
statistics.
β’ Q1.7 The impact of changes in the circumstances and context of a data source on the statistics over time
should be evaluated. Reasons for any lack of consistency and related implications for use should be clearly
explained to users.
https://www.statisticsauthority.gov.uk/code-of-practice/the-code/quality/q1-suitable-data-sources/