Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Antoine Saab"'
Publikováno v:
Journal of the Belgian Society of Radiology, Vol 106, Iss 1 (2022)
Aim: To evaluate the contribution of medical imaging request forms as trigger tools to detect patient adverse event (AE) occurring during hospitalization. Material and Methods: This is a retrospective study in a single institution. Between January an
Externí odkaz:
https://doaj.org/article/4b7927e0d38f4b0e946f95eafee19df2
Publikováno v:
Journal of Patient Safety. 19:128-136
This study aimed to prospectively validate an application that automates the detection of broad categories of hospital adverse events (AEs) extracted from a basic hospital information system, and to efficiently mobilize resources to reduce the level
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
The search strategy of a literature review is of utmost importance as it impacts the validity of its findings. In order to build the best query to guide the literature search on clinical decision support systems applied to nursing clinical practice,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b47d84c09ef7ebac292b48a41aba58fb
https://doi.org/10.3233/shti230211
https://doi.org/10.3233/shti230211
Publikováno v:
Studies in health technology and informatics. 272
Studies in the last decade have focused on identifying patients at risk of readmission using predictive models, in an objective to decrease costs to the healthcare system. However, real-time models specifically identifying readmissions related to hos
Publikováno v:
Journal of patient safety. 17(7)
OBJECTIVE The aim of the study was to evaluate the sensitivity and resource efficiency of a partially automated adverse event (AE) surveillance system for routine patient safety efforts in hospitals with limited resources. METHODS Twenty-eight automa
Publikováno v:
Jean-Baptiste Lamy
The aim of the study is to evaluate the performance of a biomarker-based machine learning (ML) model (not including vital signs) derived from reviewed rapid response team (RRT) activations in predicting all-cause deterioration in general wards patien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::976ff0e69fad44e927c242e5784820ce
http://www.lesfleursdunormal.fr/\_downloads/article\_antoine\_1.pdf
http://www.lesfleursdunormal.fr/\_downloads/article\_antoine\_1.pdf