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Data · dataset · 2023

COVID-19 Hospital Demographic, Clinical and Outcome Dataset

Listed in Borealis

The AI Deployment and Evaluation (AIDE) Lab at the Institute for Better Health (IBH), Trillium Health Partners (THP) was involved in a Supercluster Canada- funded multi-centre study that collected a dataset containing key demographics and clinical parameters of hospitalized patients diagnosed with COVID-19.

Description

The dataset is comprised of de-identified health related data associated (demographics, clinical parameters such as vital signs and laboratory values, imaging findings and hospital outcomes) of a cohort of 509 patient visits admitted to THP via the Emergency Department between November 1, 2020, to March 15, 2021 meeting criteria for likely COVID-19.

The dataset was sourced from three distinct systems (The THP Enterprise Data Warehouse, Electronic Health Records, the Picture Archiving and Communication System). This dataset was combined with data from 2 other Ontario sites and used to develop a machine learning model to predict outcomes of patients, specifically death and discharge.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Imaging 75%
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.57764/MS2S-AX179 d agoJSON v1
FieldAssertionExtractorEvidence
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descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0