Automation bias and verification complexity: a systematic review. - David Lyell; Enrico W. Coiera (J. Am. Medical Informatics Assoc., 2017)

Automation bias in electronic prescribing. - David Lyell; Farah Magrabi; Magdalena Z. Raban; Lisa G. Pont; Melissa T. Baysari; Richard O. Day; Enrico W. Coiera (BMC Medical Informatics Decis. Mak., 2017)

The Effect of Cognitive Load and Task Complexity on Automation Bias in Electronic Prescribing. - David Lyell; Farah Magrabi; Enrico W. Coiera (Hum. Factors, 2018)

Reduced Verification of Medication Alerts Increases Prescribing Errors. - David Lyell; Farah Magrabi; Enrico W. Coiera (Appl. Clin. Inform., 2019)

Evaluating the effects of automation on risk identification and nurses' decision making. - Saba Akbar; David Lyell; Farah Magrabi (AMIA, 2020)

How Well Do Computerised Decision Support Systems Cover Nursing Standards of Practice? A Literature Review. - Saba Akbar; David Lyell; Farah Magrabi (Nursing Informatics, 2021)

Automation in nursing decision support systems: A systematic review of effects on decision making, care delivery, and patient outcomes. - Saba Akbar; David Lyell; Farah Magrabi (J. Am. Medical Informatics Assoc., 2021)

More than Algorithms: an Analysis of ML Safety Events Reported to the FDA. - David Lyell; Ying Wang 003; Farah Magrabi (AMIA, 2022)

Using Clinical Simulation to Evaluate AI-Enabled Decision Support. - David Lyell; Adriaan Lustig; Kate Denyer; Satya Vedantam; Farah Magrabi (MedInfo, 2023)

How Well Do AI-Enabled Decision Support Systems Perform in Clinical Settings? - Anindya Pradipta Susanto; David Lyell; Bambang Widyantoro; Shlomo Berkovsky; Farah Magrabi (MedInfo, 2023)

Automating the Identification of Safety Events Involving Machine Learning-Enabled Medical Devices. - Ying Wang 003; David Lyell; Enrico W. Coiera; Farah Magrabi (MedInfo, 2023)

More than algorithms: an analysis of safety events involving ML-enabled medical devices reported to the FDA. - David Lyell; Ying Wang 003; Enrico W. Coiera; Farah Magrabi (J. Am. Medical Informatics Assoc., 2023)

Effects of machine learning-based clinical decision support systems on decision-making, care delivery, and patient outcomes: a scoping review. - Anindya Pradipta Susanto; David Lyell; Bambang Widyantoro; Shlomo Berkovsky; Farah Magrabi (J. Am. Medical Informatics Assoc., 2023)