AIMC Topic: Ontario
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Developing an AI Tool to Derive Social Determinants of Health for Primary Care Patients: Qualitative Findings From a Codesign Workshop.
Annals of family medicine
Jan 1, 2024
PURPOSE: Information about social determinants of health (SDOH) is essential for primary care clinicians in the delivery of equitable, comprehensive care, as well as for program planning and resource allocation. SDOH are rarely captured consistently ...
Development and Validation of a Machine Learning Algorithm Predicting Emergency Department Use and Unplanned Hospitalization in Patients With Head and Neck Cancer.
JAMA otolaryngology-- head & neck surgery
Aug 1, 2022
IMPORTANCE: Patient-reported symptom burden was recently found to be associated with emergency department use and unplanned hospitalization (ED/Hosp) in patients with head and neck cancer. It was hypothesized that symptom scores could be combined wit...
Measuring Boards Using Quantitative Tools from Natural Language Processing.
Healthcare quarterly (Toronto, Ont.)
Oct 1, 2020
Natural language processing (NLP) tools provide quantitative methods to analyze board minutes and better understand and measure the work of the board. Techniques such as riverbed graphs and sentiment analysis provide objective, measurable information...
Can machine learning optimize the efficiency of the operating room in the era of COVID-19?
Canadian journal of surgery. Journal canadien de chirurgie
Jan 1, 2020
The cancellation of large numbers of surgical procedures because of the coronavirus disease 2019 (COVID-19) pandemic has drastically extended wait lists and negatively affected patient care and experience. As many facilities resume clinical work owin...
Factors associated with motor vehicle crashes in cognitively impaired older adults.
Alzheimer disease and associated disorders
Sep 1, 1998
Because cognitive impairment might pose a safety risk for these drivers and the public, we examined what patient characteristics might be associated with motor vehicle crashes, in a retrospective study of all new referrals to a geriatric clinic speci...
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