Documentation
Description:
The iCARE team manage the Imperial Secure Data Environment (SDE), hosted within Imperial College Healthcare NHS Trust (ICHT) NHS infrastructure. The Imperial SDE enables clinicians, researchers and data scientists to access large-scale, highly curated databases for the purposes of research, clinical audit and service evaluation. The SDE enables advanced data analytics through a scalable virtual infrastructure supporting Azure Machine Learning, Python, R and STATA and a large variety of snowflake SQL tooling.
(imperial.dcs@nhs.net)
The iCARE ICHT tenancy has overarching HRA REC database approval covering all routinely captured information from Imperial College Healthcare Trust (ICHT) Electronic Health Record and 39 linked (at the patient-level) clinical and non-clinical systems. It contains data for all patients from 2015 onwards and is updated weekly as a minimum, and close to real-time when required.
This dataset includes data related to Cancer care within ICHT (MDT, demographics, diagnosis, pathology, SACT, radiotherpy surgery, referrals, episodes and pharmacy). It is directly linked to all other iCARE data models and applications are welcome to request linkage between multiple iCARE datasets where necessary to deliver the project.
iCARE Data can also be linked to primary care data for the 2.8million population in Northwest London, HRA REC approved, Whole Systems Integrated Care (WSIC) hosted database and other health and social care providers when approved.
On a project-by-project basis the model can be expanded to curate and include new data (including multi-modality data), that is either captured routinely or through approved research and clinical trials. There are streamlined processes to approve and curate new data (imperial.dataaccessrequest@nhs.net) and data will always remain hosted in the SDE.
Is Part Of:
iCARE ICHT Data
Coverage
Spatial:
United Kingdom
Typical Age Range:
0-150
Follow Up:
Other
Pathway:
Secondary Care
Provenance
Origin
Purposes:
Care
Sources:
EPR
Collection Situations:
Prescribing - Hospital
Temporal
Accrual Periodicity:
Weekly
Start Date:
01 January 2015
Time Lag:
Not applicable
Accessibility
Access
Access Rights:
Access Service:
We have set up a single route for applications to access Imperial College
Healthcare NHS Trust's (ICHT) de-identified patient data. Please read all
the information to
https://www.imperial.ac.uk/medicine/research-and-impact/groups/icare/icare-facility/information-for-researchers/
before applying to access data. The iCARE team are happy to support applications
for all types of studies requiring access to routine data, however some types of
studies may require further approvals or review by other committees, for
example: Transfer of data outside of the Trust Projects that involve contact
with patients (e.g. clinical trials) Projects that require access to
identifiable data We can provide details of these further approvals as part of
the application process.
Access Request Cost:
On request
Delivery Lead Time:
1-2 months
Jurisdictions:
GB-ENG
Data Controller:
Imperial College Healthcare NHS Trust
Data Processor:
Imperial College Healthcare NHS Trust
Usage
Data Use Limitations:
General research use
Data Use Requirements:
- User-specific restriction
- Time limit on use
- Project-specific restrictions
Resource Creators:
This research was enabled by the iCARE Digital Collaboration Space & Secure Data Environment and used the iCARE & WSIC team and data resources. Infrastructure support for this research was provided by the National Institute for Health Research (NIHR) Imperial Biomedical Research Centre (NIHR203323) and the NIHR North-West London Patient Safety Research Collaboration (NIHR NWL PSRC, Ref. NIHR204292). The iCARE database was given favourable ethics approval by the South West Central Bristol Research Ethics Committee (reference 21/SW/0120; IRAS project ID 282093). The Whole System Integrated Care (WSIC) database was given favourable ethics approval by the West Midlands Solihull Research Ethics Committee (reference 18/WM/0323; IRAS project ID 252449). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health and Social Care
Format and Standards
Vocabulary Encoding Schemes:
- OPCS4
- NHS NATIONAL CODES
- SNOMED CT
- ICD10
Conforms To:
NHS DATA DICTIONARY
Languages:
en
Formats:
Application SQL
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
Attended Patient in Imperial College Healthcare NHS Trust
1500000
Count
16 September 2024