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iCARE Secure Data Environment
Population Size
Years
2015
Associated BioSamples
None/not available
Geographic coverage
Lead time
1-2 months
Summary
The iCARE Secure Data Environment hosts and manages huge granular patient-level healthcare and biomedical databases from routinely delivered healthcare services & research in ICHT and NW London
Documentation
The iCARE SDE is a cloud-based, big data analytics platform sitting within Imperial College Healthcare NHS Trust (ICHT) NHS infrastructure. This, combined with the iCARE Team’s robust method of data de-identification, make the Environment an incredibly secure platform. The fact that it can be accessed remotely using the Trust’s Virtual Desktop Infrastructure means that researchers can perform their work remotely and are therefore not constrained by location. (imperial.dcs@nhs.net)
The iCARE 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 iCARE 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.
The main iCARE data model is a HRA REC approved database 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. It includes inpatient, outpatient, A&E, pathology, cancer, imaging treatments, e-prescribing, procedures, clinical notes, Consent, clinical trials, tissue bank samples, Patient safety and incidents, Patient experience, Staffing and environment data.
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.
Dataset type
Dataset sub-type
Keywords
Observations
Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
|---|---|---|---|---|
Events | Attended Patient in Imperial College Healthcare NHS Trust | 1500000 | Count | 17 Sep 2024 |
Provenance
Purpose of dataset collection
Source of data extraction
Collection source setting
Patient pathway description
Image contrast
Biological sample availability
Structural Metadata
Details
Publishing frequency
Version
Modified
08/10/2024
Citation Requirements
Coverage
Start date
01/01/2015
Time lag
Maximum age range
Follow-up
Accessibility
Language
Controlled vocabulary
Format
Data Access Request
Dataset pipeline status
Access rights
Time to dataset access
Access service description
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.
Jurisdiction
Data use limitation
Data use requirements
Data Controller