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Mark Sujan

Showing results (11-20 of 31) with videos related to

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BMJ Health & Care Informatics|February 5, 2022
Eight human factors and ergonomics principles for healthcare artificial intelligenceMark Sujan, Rachel Pool, Paul Salmon
Health Informatics Journal|October 5, 2019
Digital health and patient safety: Technology is not a magic wandMark Sujan, Philip Scott, Kathrin Cresswell
Internal and Emergency Medicine|September 18, 2022
A comparison of machine learning algorithms in predicting COVID-19 prognosticsSerpil Ustebay, Abdurrahman Sarmis, Gulsum Kubra Kaya, et al.
Health Services Management Research|May 26, 2017
Creating safer health systems: Lessons from other sectors and an account of an application in the Safer Clinical Systems programmePeter Spurgeon, Hugh Flanagan, Matthew Cooke, et al.
BMJ Quality & Safety|March 19, 2022
The problem with making Safety-II work in healthcareMerel J Verhagen, Marit S de Vos, Mark Sujan, et al.
British Paramedic Journal|December 1, 2022
Assuring safe artificial intelligence in critical ambulance service response: study protocolMark Sujan, Harold Thimbleby, Ibrahim Habli, et al.
Applied Ergonomics|April 4, 2024
Contextual design requirements for decision-support tools involved in weaning patients from mechanical ventilation in intensive care unitsNathan Hughes, Yan Jia, Mark Sujan, et al.
BMJ Health & Care Informatics|November 21, 2019
Why is it so difficult to govern mobile apps in healthcare?Farah Magrabi, Ibrahim Habli, Mark Sujan, et al.
BMJ Quality & Safety|June 20, 2024
Understanding the enablers and barriers to implementing a patient-led escalation system: a qualitative studyElizabeth Sutton, Mudathir Ibrahim, William Plath, et al.
BMJ Health & Care Informatics|September 9, 2020
Enhancing COVID-19 decision making by creating an assurance case for epidemiological modelsIbrahim Habli, Rob Alexander, Richard Hawkins, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
BMJ Health & Care Informatics|February 5, 2022
Eight human factors and ergonomics principles for healthcare artificial intelligenceMark Sujan, Rachel Pool, Paul Salmon
Health Informatics Journal|October 5, 2019
Digital health and patient safety: Technology is not a magic wandMark Sujan, Philip Scott, Kathrin Cresswell
Internal and Emergency Medicine|September 18, 2022
A comparison of machine learning algorithms in predicting COVID-19 prognosticsSerpil Ustebay, Abdurrahman Sarmis, Gulsum Kubra Kaya, et al.
Health Services Management Research|May 26, 2017
Creating safer health systems: Lessons from other sectors and an account of an application in the Safer Clinical Systems programmePeter Spurgeon, Hugh Flanagan, Matthew Cooke, et al.
BMJ Quality & Safety|March 19, 2022
The problem with making Safety-II work in healthcareMerel J Verhagen, Marit S de Vos, Mark Sujan, et al.
British Paramedic Journal|December 1, 2022
Assuring safe artificial intelligence in critical ambulance service response: study protocolMark Sujan, Harold Thimbleby, Ibrahim Habli, et al.
Applied Ergonomics|April 4, 2024
Contextual design requirements for decision-support tools involved in weaning patients from mechanical ventilation in intensive care unitsNathan Hughes, Yan Jia, Mark Sujan, et al.
BMJ Health & Care Informatics|November 21, 2019
Why is it so difficult to govern mobile apps in healthcare?Farah Magrabi, Ibrahim Habli, Mark Sujan, et al.
BMJ Quality & Safety|June 20, 2024
Understanding the enablers and barriers to implementing a patient-led escalation system: a qualitative studyElizabeth Sutton, Mudathir Ibrahim, William Plath, et al.
BMJ Health & Care Informatics|September 9, 2020
Enhancing COVID-19 decision making by creating an assurance case for epidemiological modelsIbrahim Habli, Rob Alexander, Richard Hawkins, et al.
Pageof 4