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Tracy Flenady

Showing results (21-30 of 24) with videos related to

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Birth (Berkeley, Calif.)|July 22, 2022
Midwives' recognition and response to maternal deterioration: A national cross-sectional studyLyn Ebert, Debbie Massey, Tracy Flenady, et al.
International Journal of Nursing Studies|July 23, 2024
A theoretical framework for identifying sociocultural factors that influence nurses' compliance with early warning systems for acute clinical deterioration: A cross-sectional surveyTrudy Dwyer, Tracy Flenady, Tania Signal, et al.
The Australian Journal of Rural Health|May 30, 2026
A Recipe for Success: Co-Design and Operationalisation of a Regional Research Capacity Building Programme Using Cooke's FrameworkTracy Flenady, Danielle Le Lagadec, Amy-Louise Byrne, et al.
Journal of the American Medical Informatics Association : JAMIA|November 15, 2023
Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertainAnton H van der Vegt, Victoria Campbell, Imogen Mitchell, et al.
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Showing results (21-30 of 24) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 24 results.
Birth (Berkeley, Calif.)|July 22, 2022
Midwives' recognition and response to maternal deterioration: A national cross-sectional studyLyn Ebert, Debbie Massey, Tracy Flenady, et al.
International Journal of Nursing Studies|July 23, 2024
A theoretical framework for identifying sociocultural factors that influence nurses' compliance with early warning systems for acute clinical deterioration: A cross-sectional surveyTrudy Dwyer, Tracy Flenady, Tania Signal, et al.
The Australian Journal of Rural Health|May 30, 2026
A Recipe for Success: Co-Design and Operationalisation of a Regional Research Capacity Building Programme Using Cooke's FrameworkTracy Flenady, Danielle Le Lagadec, Amy-Louise Byrne, et al.
Journal of the American Medical Informatics Association : JAMIA|November 15, 2023
Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertainAnton H van der Vegt, Victoria Campbell, Imogen Mitchell, et al.
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