IMplementing Predictive Analytics towards efficient COPD Treatments (IMPACT) is a CIHR-funded (Team Grant) project aimed at developing cutting-edge Precision Medicine tools for COPD, implementing them into Electronic Health Record systems, and evaluating their impact on quaity of care and outcomes in COPD.

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NOVELTY is a prospective cohort study conducted from 2016-2021, with data from 11,243 patients across 18 countries. Individuals with a diagnosis, or suspected diagnosis, of asthma and/or COPD (including 1652 patients with severe asthma) were included in the study. NOVELTY contains a rich set of socio-demographic, clinical, and anthropometric patient data, including spirometry measurements, medication utilization, basic sociodemographic information, and health services use.

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EPIC is a comprehensive epidemiologic and decision-analytic model for chronic obstructive pulmonary disease (COPD) in Canada.

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The Acute COPD Exacerbation Prediction Tool (ACCEPT) is a validated clinical prediction model that predicts rate and severity of COPD exacerbations.

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PRISM is a platform that makes decision-analytics and clinical prediction models accessible on the cloud. PRISM enables end-users to intract with the model they are interested in, without worrying about having the required hardware resources, or setting up complex code on their computer.

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This CIHR-funded project aims at devloping and validating prediction tools for precision disease management for COPD, and implementing such tools as Web Apps to be freely accessible to the patient and care provider community.

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This project, sponsored by an arm's length reserch contract with AstraZeneca Canada, harnesses population-based administrative health databases of British Columbia to update our esitmates of the recent trends in medication use in asthma. The emphasis of this project is on the use of short-acting beta agonists and systemic corticosteroids and how their pattern of use is evolving in patients with asthma.

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EBA was a one-year, prospective study of a population-based random sample of 622 patients with asthma in British Columbia, with the main objective of estimating the burden of asthma in terms of its direct costs, indirect costs, and quality of life.

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