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Weekly SUS Inpatient Dataset

Population Size

171,510

People

Years

2021

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

...see more

Lead time

1-2 months

Summary

The NWL weekly SUS IP linked table is a weekly submission from our 4 main providers (Imperial College Healthcare Trust, Hillingdon Hospital, Chelsea & Westminister Hospital and London North West Hospital) and contains Inpatient records of care within NWL.

Documentation

Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver. This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the SUS data set. SUS data covers all NHS Clinical Commissioning Groups (CCGs) in England, including:

  1. private patients treated in NHS hospitals
  2. patients resident outside of England
  3. care delivered by treatment centres (including those in the independent sector) funded by the NHS

Each SUS record contains a wide range of information about an individual patient admitted to an NHS hospital, including:

  1. clinical information about diagnoses and operations
  2. patient information, such as age group, gender and ethnicity
  3. administrative information, such as dates and methods of admission and discharge
  4. geographical information such as where patients are treated and the area where they live

NHS Digital apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published SUS data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained.

Who SUS is for SUS provides data for the purpose of healthcare analysis to the NHS, government and others including:

The Secondary Users Service (SUS) database is made up of many data items relating to A&E care delivered by NHS hospitals in England. Many of these items form part of the national Commissioning Data Set (CDS), and are generated by the patient administration systems within each hospital.

  1. national bodies and regulators, such as the Department of Health, NHS England, Public Health England, NHS Improvement and the CQC
  2. local Clinical Commissioning Groups (CCGs)
  3. provider organisations
  4. government departments
  5. researchers and commercial healthcare bodies
  6. National Institute for Clinical Excellence (NICE)
  7. patients, service users and carers
  8. the media

Uses of the statistics The statistics are known to be used for:

  1. national policy making
  2. benchmarking performance against other hospital providers or CCGs
  3. academic research
  4. analysing service usage and planning change
  5. providing advice to ministers and answering a wide range of parliamentary questions
  6. national and local press articles
  7. international comparison

More information can be found at https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/hospital-episode-statistics https://digital.nhs.uk/data-and-information/publications/statistical/hospital-accident--emergency-activity"

Dataset type
Health and disease, Treatments/Interventions
Dataset sub-type
Not applicable
Dataset population size
171510

Keywords

hospital admissions, Admission, Discover-NOW, Integrated Care, Integrated Care Record, Pathway, Real World data, Linked longitudinal, Discover

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

Distinct Patients

171510

Count

29 Nov 2021

Persons

Distinct Patients

299286

count

20 Oct 2022

Provenance

Source of data extraction
EPR
Collection source setting
Secondary care - In-patients
Patient pathway description
This dataset contains all Inpatient admissions for NWL patients. Each patient will be identified using an unique patient key, this can be used to link to other Discover-NOW datasets that will help track the patient pathway.
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Weekly
Version
2.0.0
Modified

08/10/2024

Distribution release date

31/03/2021

Citation Requirements
NHS NWL ICS;,;Discover-NOW

Coverage

Start date

31/03/2021

Time lag
1-2 weeks
Geographic coverage
United Kingdom, England, London, Hillingdon, Westminster, Kensington and Chelsea, Harrow, Brent, Ealing, Hounslow, Hammersmith and Fulham
Maximum age range
150
Follow-up

10 Years

Accessibility

Language
en
Controlled vocabulary
NHS NATIONAL CODES, LOCAL, ICD10
Format
Excel, SQL, Tableau, R

Data Access Request

Dataset pipeline status
Not available
Time to dataset access
1-2 months
Access method category
TRE/SDE
Access service description
Researchers will have access to a VDI environment with a specific username and password. The researchers will get access to the datasets that is present in the hub's catalogue and would be able to carry out their research within the safe haven. There are restrictions applied which prevents the researchers from taking data out of the safe haven, once the research/analysis is completed the admin team will need to be contacted for taking the analysis off the safe haven
Jurisdiction
GB
Data use limitation
No restriction
Data use requirements
Collaboration required,Institution-specific restrictions,Project-specific restrictions,Time limit on use,User-specific restriction
Data Controller
Joint data controller model across North West London
Data Processor

North West London Integrated Care Board (NWL ICB) North East London Integrated Care Board (NEL ICB) North of England Commissioning Support Unit (NECS)

Dataset Types: Health and disease, Treatments/Interventions


Collection Sources: Secondary care - In-patients

Publications about this dataset

How an electronic health record became a real-world research resource: comparison between London's W...Bottle A, Cohen C, Lucas A, Saravanakumar K, Ul-Ha...

BMC medical informatics and decision making BMC medical informatics and decision making

Published - 2020