COVID-19 Hospital Demographic, Clinical and Outcome Dataset

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. 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.