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Connected Bradford - Intensive Care National Audit & Research Centre - FDM

Population Size

13,936

People

Years

2002 - 2019

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

...see more

Lead time

Not applicable

Summary

Intensive Care National Audit & Research Centre (ICNARC) dataset, reformatted to Connected Bradford FDM standards.

Documentation

The Connected Bradford ICNARC : Flexible Data Model (FDM) Contains routinely collected data for approximately 13, 000 patients. The dataset has been fully anonymised, but can link to other Connected Bradford FDM's.

The Bradford Royal Infirmary FDM last build date was 2023-05-15 and contains data up to : 2019-10-22. The observation period for this data is: 2002-07-21 to 2019-10-22

The FDM is made up of 2source table using routinely collected data for 13, 936 individuals.

The tables are as supplied with minimal reformatting.

The source tables are largely populated by fields with the tbl where there is a person and a start and end date, and cb where there is no identifiable person (these are typically lookup tables)

It includes basic patient demographics, information about consultation events, medical history including diagnoses and investigations, laboratory results, medications, theatre, spells, pharmacy etc as per the ICNARC standard.

Dataset type
Health and disease
Dataset sub-type
Not applicable
Dataset population size
13,936
Associated media
https://https://github.com/ConnectedBradford/Connected-Bradford-ICNARC

Keywords

Clinical Dataset, SNOMED-CT, medication history, Medications, Diagnosis, investigations, Injections, patient administration system, ICD-10, ICD10 codes, ECDS, treatment, TREATMENT, X-ray, Radiology, Accident & Emergency, Outpatients, Inpatient, Hospital Inpatient data, Hospital Admissions, Pharmacy, ward admission, ward transfers, wards, Spell, Anaesthesia, anaesthetic, theatre, Episodes, Hospital, Critical Care, Diagnosis, Emergency, Operations, Critical C, Episodes, Hospital, Diagnosis, Inpatients, Emergency, Operations, Admission, Fi, Finished Admission Episode, Finished Consultant Episode, Intensive Care, ICNARC

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

This population within this dataset covers all those individuals who have an IKCNARC record as a result of intensive care within Bradford and District for the dates specified.

13936

Count

15 May 2023

Provenance

Collection source setting
Secondary care - Accident and Emergency, Secondary care - Outpatients, Prescribing - Community pharmacy, Secondary care - In-patients, Clinic
Patient pathway description
This dataset is representative of the patient pathway as it documents hospital attendances, consultation and events. This dataset can be linked to other secondary care and primary care data including but not limited to Primary Care, Health Visitor, Child Health, A&E, maternity, radiology, theatre etc . It can also be linked to Connected Bradford Education Records, Social Care and other non health care sources.
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Static
Version
1.0.0
Modified

08/10/2024

Citation Requirements
Connected Bradford

Coverage

Start date

27/01/2002

End date

22/10/2019

Time lag
Not applicable
Geographic coverage
United Kingdom, England, Yorkshire and The Humber, Bradford
Minimum age range
13
Maximum age range
110
Follow-up
Unknown

Accessibility

Language
en
Controlled vocabulary
OTHER
Format
text

Data Access Request

Dataset pipeline status
Not available
Access rights
https://github.com/ConnectedBradford
Time to dataset access
Not applicable
Access service description

Expression of Interest (EOI) are reviewed 3 monthly by the Connected Bradford Board. For the majority of EOI's, a subset of various FDM's fitting the requirements of the research will be provided for use by the researcher. The extract will only contain the variables required by the research. Access to data is via a secure R or Python environment hosted by the SDE.

A Data Sharing Contract and Agreement will need to be signed by the researcher's institution and Bradford Teaching Hospitals NHS Foundation Trust. For more information see

https://github.com/ConnectedBradford
Jurisdiction
GB
Data use limitation
Research use only
Data use requirements
Institution-specific restrictions
Data Controller
Kuldeep Sohal
Data Processor
John Birkinshaw

Dataset Types: Health and disease

Collection Sources: No collection sources listed