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of 5
pro vyhledávání: '"Natalie Sapiro"'
Autor:
Megan Harmon, Riley Martens, Shabnam Vatanpour, Natalie Sapiro, Robin Walker, Tracie Risling, Cathy Eastwood
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Rationale Determining the ability of a country’s nursing workforce to meet the health care needs of the population is essential for optimal health outcomes. ‘Nursing shortage’ is frequently heralded as an issue, yet it is unclear how ‘shortag
Externí odkaz:
https://doaj.org/article/b02de6585220417e9a83e4ee9d38927f
Autor:
Jie Pan, Seungwon Lee, Cheligeer Cheligeer, Natalie Sapiro, Bing Li, Guosong Wu, Catherine Eastwood, Hude Quan, Yuan Xu
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective To evaluate validity of hospital-discharged abstract administrative health data (DAD) over years through chart reviews. Methods We analyzed three chart review cohorts (4,008 patients in 2003, 3,045 in 2015, and 9,024 in 2022) in Calgary,
Externí odkaz:
https://doaj.org/article/258c9e50683f49349dbb3ad8f282e183
Autor:
Cheligeer Cheligeer, Guosong Wu, Seungwon Lee, Jie Pan, Natalie Sapiro, Danielle A. Southern, Cathy A. Eastwood, Hude Quan, Yuan Xu
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective Administrative data often underrepresents hospital adverse events (AEs) due to limitations in International Classification of Diseases (ICD) coding. By leveraging electronic medical records (EMRs), we aim to mitigate these discrepancies and
Externí odkaz:
https://doaj.org/article/72f7ef8c67374a85b6e3a4819e98f818
Autor:
Hude Quan, Danielle A Southern, Yuan Xu, Cathy Eastwood, Guosong Wu, Natalie Sapiro, Cheligeer Cheligeer
Publikováno v:
BMJ Open Quality, Vol 13, Iss 2 (2024)
Background In medical research, the effectiveness of machine learning algorithms depends heavily on the accuracy of labeled data. This study aimed to assess inter-rater reliability (IRR) in a retrospective electronic medical chart review to create hi
Externí odkaz:
https://doaj.org/article/b62f38fc2ce540f8a457a5b46e4e84e7
Autor:
Jawad Chishtie, Natalie Sapiro, Natalie Wiebe, Leora Rabatach, Diane Lorenzetti, Alexander A Leung, Doreen Rabi, Hude Quan, Cathy A Eastwood
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e51003 (2023)
BackgroundElectronic health records (EHRs) enable health data exchange across interconnected systems from varied settings. Epic is among the 5 leading EHR providers and is the most adopted EHR system across the globe. Despite its global reach, there
Externí odkaz:
https://doaj.org/article/7581710dc1ac418391021d81c1450eaa