Zobrazeno 1 - 10 of 26 pro vyhledávání: '"R. J. Bosman"'
1
The impact of COVID-19 on nursing workload and planning of nursing staff on the Intensive Care: A prospective descriptive multicenter study
Autor: S. Brinkman, J. Haringman, R. J. Bosman, N.F. de Keizer, Jan Jaap Spijkstra, M.E. Hoogendoorn
Publikováno v: International Journal of Nursing Studies, 121:104005. Elsevier Limited
International journal of nursing studies, 121:104005. Elsevier Limited
Hoogendoorn, M E, Brinkman, S, Bosman, R J, Haringman, J, de Keizer, N F & Spijkstra, J J 2021, ' The impact of COVID-19 on nursing workload and planning of nursing staff on the Intensive Care: A prospective descriptive multicenter study ', International Journal of Nursing Studies, vol. 121, 104005 . https://doi.org/10.1016/j.ijnurstu.2021.104005
International Journal of Nursing Studies
Introduction: The impact of the care for COVID-19 patients on nursing workload and planning nursing staff on the Intensive Care Unit has been huge. Nurses were confronted with a high workload and an increase in the number of patients per nurse they h
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49a5ca01b99a10a4a3c2fcc367c5a6d5
https://research.vumc.nl/en/publications/528a3a1e-17c5-4f98-84c1-84109008e8e8
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2
The development of a glucose prediction model in critically ill patients
Autor: P. H. J. van der Voort, V. Lagerburg, S.C.J. van Steen, R. Wedzinga, R. J. Bosman, M. van den Boorn
Publikováno v: Computer Methods and Programs in Biomedicine, 206:106105. ELSEVIER IRELAND LTD
Purpose: The aim of the current study is to develop a prediction model for glucose levels applicable for all patients admitted to the ICU with an expected ICU stay of at least 24 h. This model will be incorporated in a closed-loop glucose system to c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4d4b980bf2080f174dfda8e42e48400
https://doi.org/10.1016/j.cmpb.2021.106105
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3
The objective nursing workload and perceived nursing workload in Intensive Care Units: Analysis of association
Autor: J. Haringman, Charlotte C. Margadant, N.F. de Keizer, S. Brinkman, M.E. Hoogendoorn, Jan Jaap Spijkstra, R. J. Bosman
Publikováno v: International journal of nursing studies, 114:103852. Elsevier Limited
International Journal of Nursing Studies, 114:103852. Elsevier Limited
Hoogendoorn, M E, Brinkman, S, Spijkstra, J J, Bosman, R J, Margadant, C C, Haringman, J & de Keizer, N F 2021, ' The objective nursing workload and perceived nursing workload in Intensive Care Units : Analysis of association ', International Journal of Nursing Studies, vol. 114, 103852 . https://doi.org/10.1016/j.ijnurstu.2020.103852
Background A range of classification systems are in use for the measurement of nursing workload in Intensive Care Units. However, it is unknown to what extent the measured (objective) nursing workload, usually in terms of the amount of nursing activi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4023d3c92e86cec7bcef525aecf1fb5
https://pure.amc.nl/en/publications/the-objective-nursing-workload-and-perceived-nursing-workload-in-intensive-care-units(4c3c123d-2684-4f33-ae80-e90f605b919c).html
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4
Validation of the nursing activities score (Nas) using time-and-motion measurements in dutch intensive care units
Autor: Jan Jaap Spijkstra, N.F. de Keizer, C. C. Margadant, R. J. Bosman, S. Brinkman, M.E. Hoogendoorn
Publikováno v: Netherlands Journal of Critical Care, 29(1), 22-27. Netherlands Society of Intensive Care
Netherlands journal of critical care, 29(1), 22-27. Netherlands Society of Intensive Care
Margadant, C C, Hoogendoorn, M E, Bosman, R J, Spijkstra, J J, Brinkman, S & de Keizer, N F 2021, ' Validation of the nursing activities score (Nas) using time-and-motion measurements in dutch intensive care units ', Netherlands Journal of Critical Care, vol. 29, no. 1, pp. 22-27 .
Background The Nursing Activities Score (NAS) is widely used for workload measurement of Intensive Care Unit (ICU) nurses. However, the performance of the NAS to measure actual nursing time has not been comprehensively and externally validated. The a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d2b86776a75c93ea072ff5c9e451bfc
https://research.vumc.nl/en/publications/4c218aa7-070c-4012-aab9-9a724ed08ad3
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6
Learning predictive models that use pattern discovery—A bootstrap evaluative approach applied in organ functioning sequences
Autor: Niels Peek, Tudor Toma, Arno Siebes, R. J. Bosman, Ameen Abu-Hanna
Publikováno v: Journal of biomedical informatics, 43(4), 578-586. Academic Press Inc.
An important problem in the Intensive Care is how to predict on a given day of stay the eventual hospital mortality for a specific patient. A recent approach to solve this problem suggested the use of frequent temporal sequences (FTSs) as predictors.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3969eb36dd51dd348161e5fcdd558d92
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7
Using hierarchical dynamic Bayesian networks to investigate dynamics of organ failure in patients in the Intensive Care Unit
Autor: Ameen Abu-Hanna, Evert de Jonge, Nicolette F. de Keizer, Linda M. Peelen, R. J. Bosman, Niels Peek
Publikováno v: Journal of Biomedical Informatics, 43(2), 273-286
Journal of biomedical informatics, 43(2), 273-286. Academic Press Inc.
In intensive care medicine close monitoring of organ failure status is important for the prognosis of patients and for choices regarding ICU management. Major challenges in analyzing the multitude of data pertaining to the functioning of the organ sy
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbbf0b8c1ea765cd2caa3d7ae264010c
https://doi.org/10.1016/j.jbi.2009.10.002
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8
Discovery and integration of univariate patterns from daily individual organ-failure scores for intensive care mortality prediction
Autor: R. J. Bosman, Tudor Toma, Ameen Abu-Hanna
Publikováno v: Artificial intelligence in medicine, 43(1), 47-60. Elsevier
Objectives: The current established mortality predictive models in the intensive care rely only on patient information gathered within the first 24 hours of admission. Recent research demonstrated the added prognostic value residing in the sequential
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b106f0498f1afa27a4f1b7affb8d9ff8
https://doi.org/10.1016/j.artmed.2008.01.002
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9
Discovery and inclusion of SOFA score episodes in mortality prediction
Autor: Tudor Toma, R. J. Bosman, Ameen Abu-Hanna
Publikováno v: Journal of biomedical informatics, 40(6), 649-660. Academic Press Inc.
Predicting the survival status of Intensive Care patients at the end of their hospital stay is useful for various clinical and organizational tasks. Current models for predicting mortality use logistic regression models that rely solely on data colle
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4e3a3c6d528ab14249b42d54eb88548
https://doi.org/10.1016/j.jbi.2007.03.007
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10
Pain measurement in mechanically ventilated critically ill patients: Behavioral Pain Scale versus Critical-Care Pain Observation Tool
Autor: Henrik Endeman, Saskia Rijkenberg, H. M. Oudemans-van Straaten, Willemke Stilma, R. J. Bosman
Publikováno v: Rijkenberg, S, Stilma, W, Endeman, H, Bosman, R J & van Straaten, H M 2015, ' Pain measurement in mechanically ventilated critically ill patients: Behavioral Pain Scale versus Critical-Care Pain Observation Tool ', Journal of Critical Care, vol. 30, no. 1, pp. 167-172 . https://doi.org/10.1016/j.jcrc.2014.09.007
Journal of Critical Care, 30(1), 167-172. Elsevier BV
Purpose The Behavioral Pain Scale (BPS) and Critical-Care Pain Observation Tool (CPOT) are behavioral pain assessment tools for uncommunicative and sedated intensive care unit (ICU) patients. This study compares the discriminant validation and reliab
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2094944629d7f141b2fb315ded33bdc
https://pubmed.ncbi.nlm.nih.gov/25446372
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