Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 226 days ago
Documentation
Description:
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.
Coverage
Typical Age Range:
0-150
Follow Up:
Other
Pathway:
Secondary Care
Provenance
Origin
Purposes:
Care
Sources:
EPR
Collection Situations:
- Secondary care - In-patients
- Secondary care - Outpatients
- Clinic
- Secondary care - Accident and Emergency
- Services
- Prescribing - Community pharmacy
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.
Delivery Lead Time:
Not applicable
Jurisdictions:
GB-ENG
Data Controller:
Sanjay Gautama
Usage
Data Use Limitations:
General research use
Data Use Requirements:
- User-specific restriction
- Time limit on use
- Project-specific restrictions
Resource Creators:
Imperial College Healthcare NHS Trust - iCARE
Format and Standards
Vocabulary Encoding Schemes:
- OPCS4
- NHS NATIONAL CODES
- SNOMED CT
- ICD10
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
17 September 2024