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pro vyhledávání: '"Malycha J"'
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Publikováno v:
Current Opinion in Critical Care. 28:315-321
Purpose of review: To provide an overview of the systems being used to identify and predict clinical deterioration in hospitalised patients, with focus on the current and future role of artificial intelligence (AI). Recent findings: There are five le
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Autor:
Malycha, J, Andersen, C, Redfern, OC, Peake, S, Subbe, C, Dykes, L, Phillips, A, Ludbrook, G, Young, D, Watkinson, PJ, Flabouris, A, Jones, D
IntroductionMost patients admitted to hospital recover with treatments that can be administered on the general ward. A small but important group deteriorate however and require augmented organ support in areas with increased nursing to patient ratios
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3600239069c4fee2ab737f5baa72e108
https://hdl.handle.net/11541.2/31066
https://hdl.handle.net/11541.2/31066
Background and objectives: Electronic healthcare records have become central to patient care. Evaluation of new systems include a variety of usability evaluation methods or usability metrics (often referred to interchangeably as usability components
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::8bef97fdd38d1f5e3ecab27e36b47b1c
https://ora.ox.ac.uk/objects/uuid:b04766fd-bf3c-4120-be40-77d2a526e899
https://ora.ox.ac.uk/objects/uuid:b04766fd-bf3c-4120-be40-77d2a526e899
Referral to an Intensive Care Unit (ICU) is a complex medical process. The decision making involved can be cognitively challenging and subjective. We aimed to identify variables used by clinicians to make decisions during the ICU referral process, de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::b1b2a2338f56a6520d7a5031c972c7f6
https://ora.ox.ac.uk/objects/uuid:70619a9d-b0b7-4588-84c7-b207daaf6e29
https://ora.ox.ac.uk/objects/uuid:70619a9d-b0b7-4588-84c7-b207daaf6e29
Publikováno v:
BMJ Open
IntroductionTraditional early warning scores (EWSs) use vital sign derangements to detect clinical deterioration in patients treated on hospital wards. Combining vital signs with demographics and laboratory results improves EWS performance. We have d
Autor:
Malycha, J, Farajidavar, N, Pimentel, M, Redfern, O, Clifton, D, Tarassenko, L, Meredith, P, Prytherch, D, Ludbrook, G, Young, J, Watkinson, P
Publikováno v:
Malycha, J, Farajidavar, N, Pimentel, M A F, Redfern, O, Clifton, D A, Tarassenko, L, Meredith, P, Prytherch, D, Ludbrook, G, Young, J D & Watkinson, P J 2019, ' The Effect of Fractional Inspired Oxygen Concentration on Early Warning Score Performance: a database analysis ', Resuscitation, vol. 139, pp. 192-199 . https://doi.org/10.1016/j.resuscitation.2019.04.002
Malycha, J, Farajidavar, N, Pimentel, M A F, Redfern, O, Clifton, D A, Tarassenko, L, Meredith, P, Prytherch, D, Ludbrook, G, Young, J D & Watkinson, P J 2019, ' The effect of fractional inspired oxygen concentration on early warning score performance : a database analysis ', Resuscitation, vol. 139, pp. 192-199 . https://doi.org/10.1016/j.resuscitation.2019.04.002
Malycha, J, Farajidavar, N, Pimentel, M A F, Redfern, O, Clifton, D A, Tarassenko, L, Meredith, P, Prytherch, D, Ludbrook, G, Young, J D & Watkinson, P J 2019, ' The effect of fractional inspired oxygen concentration on early warning score performance : a database analysis ', Resuscitation, vol. 139, pp. 192-199 . https://doi.org/10.1016/j.resuscitation.2019.04.002
Objectives To calculate fractional inspired oxygen concentration (FiO2) thresholds in ward patients and add these to the National Early Warning Score (NEWS). To evaluate the performance of NEWS-FiO2 against NEWS when predicting in-hospital death and
Autor:
Subbe, CP, Bannard-Smith, J, Bunch, J, Champunot, R, Devita, MA, Durham, L, Edelson, DP, Gonzalez, I, Hancock, C, Haniffa, R, Hartin, J, Haskell, H, Hogan, H, Jones, DA, Kalkman, CJ, Lighthall, GK, Malycha, J, Ni, MZ, Phillips, AV, Rubulotta, F, So, RK, Welch, J, Systems, International Society For Rapid Response
Publikováno v:
Resuscitation. 141
Background Clinically significant deterioration of patients admitted to general wards is a recognized complication of hospital care. Rapid Response Systems(RRS) aim to reduce the number of avoidable adverse events. The authors aimed to develop a core
Akademický článek
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