2021 PSI Graham Farquharson Knowledge Translation Fellowship

Summary: The investigators will develop an artificial intelligence (AI)-based tool to identify and predict delirium in hospitalized medical patients with an additional specialized model focused on the major emerging entity of COVID-19 related delirium. This tool will greatly improve the quality of care of the nearly 25% of all hospitalized medical patients who develop delirium. Currently, hospitals use administrative codes to study delirium and these codes miss 75% of all cases. Therefore, the investigators' project will greatly enhance the identification and care of this important condition. Data: The investigators will employ a province-wide hospital data repository of routinely collected administrative and clinical data (the General Medicine Inpatient Initiative, GEMINI). GEMINI covers >70% of all hospitalized medical patients in Ontario and this will significantly increase the potential of research findings to improve health across the province. GEMINI is the largest hospital-based research and quality improvement network in Canada and one of few such networks in the world. Knowledge Translation: The investigators have strong existing knowledge translation mechanisms: 1) Direct participation of Ontario Health and use of the delirium AI tool in their Delirium Quality Standard, 2) Existing partnerships and data platform with 30 large hospitals allowing modelling results to be directly applied to patient care.