Bookmarks
King's College Hospital MedCAT NLP 2011-2019
Population Size
1,073,183
People
Years
2011 - 2019
Associated BioSamples
None/not available
Geographic coverage
United Kingdom
England
Lead time
Not applicable
Summary
SNOMED codes derived from free text EHR from 2011-2019 covering all inpatients at King's College Hospital, using MedCAT Natural Language Processing. Research use of the dataset is governed by the KERRI committee, and requires a KCH principal investigator.
Documentation
This dataset contains Natural Language Processing (NLP) output from the MedCAT library applied to the full text content of the King's College Hospital electronic health record available through CogStack. Documents were annotated with SNOMED codes and meta-annotations for experiencer, negation and temporality.
Research use of the dataset is governed by the patient-led KERRI committee, and requires a KCH principal investigator.
Dataset type
Health and disease
Dataset sub-type
Not applicable
Dataset population size
1073183
Associated media
Keywords
Electronic Health Record, NLP, SNOMED CT
Observations
Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
|---|---|---|---|---|
Persons | 1073183 | count | 31 Dec 2019 |
Provenance
Purpose of dataset collection
Care
Collection source setting
Secondary care - In-patients
Image contrast
Not stated
Biological sample availability
None/not available
Structural Metadata
Details
Publishing frequency
Continuous
Version
1.0.0
Modified
08/10/2024
Citation Requirements
King's College London NHS Foundation Trust
Coverage
Start date
01/01/2011
End date
31/12/2019
Time lag
Not applicable
Geographic coverage
United Kingdom, England, London
Minimum age range
18
Maximum age range
100
Accessibility
Language
en
Controlled vocabulary
SNOMED CT
Format
text/json, text/csv
Data Access Request
Dataset pipeline status
Not available
Time to dataset access
Not applicable
Access method category
Varies based on project
Access service description
Research use of the dataset is governed by the patient-led KERRI committee, and requires a KCH principal investigator. We recommend making contact with a KCH principal investigator first to facilitate applications for approvals. The data will only be accessible in the KCH data environment within the NHS firewall and will not be transferred out of KCH.
Jurisdiction
GB-ENG
Data use limitation
Research use only
Data use requirements
User-specific restriction,Project-specific restrictions
Data Controller
Kings College Hospital NHS Foundation Trust, with oversight of the Caldicott Guardian
Data Processor
N/A