Barts Health NHS Trust COVID-19 EHR Extracted Dataset
The dataset is extracted from local EHR System containing demographics, administrative hospital encounter information, previous medical history (diagnoses and procedures), current symptoms and disease complications, clinical events. The COVID-19 pandemic reached London in March 2020. Barts Health NHS Trust is a large academic health science centre based in east London and serving 2m people in 5 hospitals. As part of Barts Health’s response, we commenced enrolment of patients into 6 clinical trials prioritised by the National Institute for Health Research (NIHR) including ISARIC. The data collection for these trials has been primarily from electronic patient records (EPR), which vastly reduces manual data entry for the clinical trials teams. Electronic patient records are a rich source of administrative and clinical data. They contain patients’ laboratory results, vital signs, symptoms, procedures and diagnoses in a structured form, and further rich clinical and medication information in free text note form. We used Natural Language Processing (NLP) to identify medication and clinical terms then coded these in BNF and SNOMED CT respectively, for inclusion in analytics.
Description
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The dataset is extracted from local EHR System containing demographics, administrative hospital encounter information, previous medical history (diagnoses and procedures), current symptoms and disease complications, clinical events. The COVID-19 pandemic reached London in March 2020. Barts Health NHS Trust is a large academic health science centre based in east London and serving 2m people in 5 hospitals. As part of Barts Health’s response, we commenced enrolment of patients into 6 clinical trials prioritised by the National Institute for Health Research (NIHR) including ISARIC. The data collection for these trials has been primarily from electronic patient records (EPR), which vastly reduces manual data entry for the clinical trials teams. Electronic patient records are a rich source of administrative and clinical data. They contain patients’ laboratory results, vital signs, symptoms, procedures and diagnoses in a structured form, and further rich clinical and medication information in free text note form. We used Natural Language Processing (NLP) to identify medication and clinical terms then coded these in BNF and SNOMED CT respectively, for inclusion in analytics.
metasource: HDR UKversion: extracted_at: 2022-09-05T08:28:24.125862
Webpage:
https://www.healthdatagateway.org/dataset/3fbef1ac-fa6d-4c72-836d-3a8d8a0f7b08Webpage
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https://www.healthdatagateway.org/dataset/3fbef1ac-fa6d-4c72-836d-3a8d8a0f7b08
metasource: HDR UKversion: extracted_at: 2022-09-05T08:28:24.125862
Licence:
Name: HDR UK Innovation Gateway AccessLicence name
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HDR UK Innovation Gateway Access
metasource: HDR UKversion: extracted_at: 2022-09-05T08:28:24.125862
Licence URL
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https://www.hdruk.ac.uk/infrastructure/gateway/terms-and-conditions/
metasource: HDR UKversion: extracted_at: 2022-09-05T08:28:24.125862
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