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Join us for a discussion of the history, process and results of customization of North York General Hospital's medication clinical decision support system to reduce alert fatigue for our pharmacists. Results will include pre- and post-alerts data, pharmacists' sentiment survey and medication incidents data.
Attendees will learn to: Describe the process of transforming alerts data into targeted interventions; Explain the custom conditional filters implemented by North York General Hospital; Discuss pharmacists' override rate and perceptions of alert fatigue after implementation of custom conditional filters.
Presented by Daniel Chan, Pharmacist, North York General Hospital (NYGH).
Daniel received a BScPharm and PharmD from the University of Toronto in 2014. After graduating, he joined North York General Hospital as a clinical pharmacist for 4 years before transitioning to the Pharmacy Systems team for the past 3 years. As part of the Pharmacy Systems team, Daniel is involved in building, maintaining and troubleshooting medication-related equipment and technologies including the electronic health record, acute dispensing units, barcode medication administration, and radiofrequency identification of medications. His current interests include using big data to optimize clinical decision support systems, AI/Machine Learning and emerging technologies in healthcare.
Earn One Continuing Education Unit (CEU) for attending this webinar. Content from this webinar aligns with Core Health Informatics Topics: The Canadian Healthcare System; Clinical and Health Services; and Analysis and Evaluation.
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