BIOSIGN™ : multi-parameter monitoring for early warning of patient deterioration

2005 ◽  
Author(s):  
L. Tarassenko
Keyword(s):  
Early Warning ◽  
Patient Deterioration ◽  
Parameter Monitoring

Review of Tools for the Prediction of Patient Deterioration in the Digital Hospital Setting. (Preprint)

2021 ◽  
Author(s):  
Kay Debby Mann ◽  
Norm Good ◽  
Farhad Fatehi ◽  
Sankalp Khanna ◽  
Victoria Campbell ◽  
...  
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Hospital Setting ◽  
Warning System ◽  
Scoring Systems ◽  
Time Data ◽  
Time Dynamic ◽  
Patient Deterioration ◽  
Dynamic Risk ◽  
Risk Estimates

BACKGROUND Early warning tools identify patients at risk of deterioration in hospitals. Electronic medical records in hospitals offer real-time data, and the opportunity to automate early warning tools and provide real-time, dynamic risk estimates. OBJECTIVE This review describes published studies on the development, validation and implementation of tools for prediction of patient deterioration in hospital general wards. METHODS An electronic database search of peer-reviewed journal papers 2008-2020 identified studies reporting the use of tools and algorithms for predicting patient deterioration - defined by unplanned transfer to intensive care unit (ICU), cardiac arrest, or death. Studies conducted solely in ICUs, emergency departments or on single diagnosis patient groups were excluded. RESULTS Forty-five publications, eligible for inclusion, were heterogeneous in design, setting and outcome measures. Most papers were retrospective studies utilizing cohort data to develop, validate or statistically evaluate prediction tools. Tools consisted of early warning, screening or scoring systems based on physiologic data, as well as more complex algorithms developed to better represent real-time, deal with complexities of longitudinal data and warn of deterioration risk earlier. Only a few studies detailed the results of implementation of the deterioration warning tools. CONCLUSIONS Despite relative progress on the development of algorithms to predict patient deterioration, the literature has not shown that the deployment or implementation of such algorithms is reproducibly associated with improvement of patient outcomes. Further work is needed to realise the potential of automated predictions and updating dynamic risk estimates as part of an operational early warning system for inpatient deterioration.

Sensitivity of the Pediatric Early Warning Score to Identify Patient Deterioration

PEDIATRICS ◽  
2010 ◽  
Vol 125 (4) ◽  
pp. e763-e769 ◽  
Author(s):  
M. Akre ◽  
M. Finkelstein ◽  
M. Erickson ◽  
M. Liu ◽  
L. Vanderbilt ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning Score ◽  
Patient Deterioration

Ward post-operative care

2016 ◽  
Author(s):  
Ross Palmer ◽  
Alison Smith
Keyword(s):  
Early Warning ◽  
Early Recognition ◽  
Health Care Team ◽  
Early Warning Score ◽  
Breaking Bad ◽  
Patient Deterioration ◽  
Operative Care ◽  
Policies And Procedures ◽  
Recognition And Response ◽  
Operative Monitoring

Standardized, evidence-based post-operative policies and procedures ensure that safe and effective person-centred care is provided, which is aimed at reducing the likelihood of post-operative complications. Close physiological monitoring is imperative and should incorporate the use of an early warning score such as the National Early Warning Score (NEWS). This ensures early recognition and response to patient deterioration, which is quickly escalated to an appropriate member of the health-care team. This chapter provides an overview of oxygen therapy, wound drains, the removal of sutures and staples, post-operative monitoring, early warning scores, escalation, documentation standards, and breaking bad news.

scholarly journals New Early Warning Score: off-label approach for Covid-19 outbreak patient deterioration in the community

Resuscitation ◽  
2020 ◽  
Vol 151 ◽  
pp. 24-25 ◽  
Author(s):  
Federico Semeraro ◽  
Tommaso Scquizzato ◽  
Andrea Scapigliati ◽  
Giuseppe Ristagno ◽  
Lorenzo Gamberini ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning Score ◽  
Off Label ◽  
Patient Deterioration

scholarly journals Minimal Impact of Implemented Early Warning Score and Best Practice Alert for Patient Deterioration*

2019 ◽  
Vol 47 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Armando D. Bedoya ◽  
Meredith E. Clement ◽  
Matthew Phelan ◽  
Rebecca C. Steorts ◽  
Cara O’Brien ◽  
...  
Keyword(s):  
Early Warning ◽  
Best Practice ◽  
Early Warning Score ◽  
Minimal Impact ◽  
Patient Deterioration ◽  
Best Practice Alert

Early warning scores: unravelling detection and escalation

2015 ◽  
Vol 28 (8) ◽  
pp. 872-875 ◽  
Author(s):  
Gary B Smith ◽  
David R Prytherch ◽  
Paul Meredith ◽  
Paul E Schmidt
Keyword(s):  
Early Warning ◽  
Personal Experience ◽  
Design Methodology ◽  
Nurse Educators ◽  
Clinical Care ◽  
Early Warning Score ◽  
Content Type ◽  
Patient Deterioration ◽  
The Difference ◽  
Practical Implications

Purpose – The purpose of this paper is to increase understanding of how patient deterioration is detected and how clinical care escalates when early warning score (EWS) systems are used. Design/methodology/approach – The authors critically review a recent National Early Warning Score paper published in IJHCQA using personal experience and EWS-related publications, and debate the difference between detection and escalation. Findings – Incorrect EWS choice or poorly understood EWS escalation may result in unnecessary workloads forward and responding staff. Practical implications – EWS system implementers may need to revisit their guidance materials; medical and nurse educators may need to expand the curriculum to improve EWS system understanding and use. Originality/value – The paper raises the EWS debate and alerts EWS users that scrutiny is required.

scholarly journals EFEKTIFITAS VITALPAC EARLY WARNING SCORING SEBAGAI DETEKSI DINI PERBURUKAN PASIEN ACCESS BLOCK DI IGD dr. ISKAK TULUNGAGUNG

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Zaky Soewandi Ahmad ◽  
Setyowati Soeharto ◽  
Mukhamad Fathoni
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
P Value ◽  
Older Patient ◽  
Patient Deterioration ◽  
Contingency Coefficient ◽  
Auc Value ◽  
Comparative Results ◽  
Result Analysis

Abstract : The prolongation of length of stay access block patients in emergency department (ED) can cause the risk of deterioration. Currently there is no study to prove the accuracy of any early warning system on a group of patient who are waiting for inpatient beds in ED. The purpose of this study was to validate the performance of detecting patient deterioration using  vitalpac early warning scoring (ViEWS) for inpatient beds in ED. This prospective, an observational study was carried out over 1 month in ED of Dr.Iskak Hospital in adult and older patient presenting to the ED. The VIEWS were calculated using the recorded physiological parameters of patient. Deterioration  were used as the primary outcomes. Out of a total of 75 access block patients, 24% of them had deterioration in ED. Result analysis from Test of Contingency Coefficient in this research represented that significant correlation between ViEWS value with deterioration of access block patients which is p-value <0,05. Comparative results in AUC represented that ViEWS had AUC value (0,967), sensitivity (0,889), specificity (0,965). The conclusion is the composite ViEWS was perform well in detection of early deterioration in ED.Keyword : vitalpac early warning scoring, deterioration, access block Abstrak : Memanjangnya lama waktu tinggal pasien access blockdi IGD dapat menyebabkan resiko perburukan. Saat ini belum ada penelitian yang dapat membuktikan efektifitas dari deteksi dini pada pasien yang menunggu rawat inap di instalasi gawat darurat (IGD). Tujuan penelitian ini adalah untuk mengetahui efektifitas vitalpac early warning scoring (ViEWS)sebagai deteksi dini pasien access blockdi IGD. Penelitian ini adalah penelitian observasional analitik dengan desain studi prospektif yang dilakukan selama 1 bulan di IGD RSUD Dr. Iskak Tulungagung.Skoring VIEWSmenggunakan parameter fisiologis pasien.Outcome utama dari penelitian ini adalah perburukan pasien access block dalam 24 jam.Dari 75 pasien access block, 24% diantaranya mengalami perburukan di IGD. Hasil analisis Uji Koefisien Kontigensi penelitian menunjukkan bahwa terdapat hubungan yang bermakna antara nilai VIEWS dengan perburukan pasien access block dengan p-value< 0,05. Hasil komparatif AUC menunjukkan bahwa ViEWS memiliki nilai AUC (0,967), sensitivitas (0,889), spesifitas (0,965) Oleh karena itu ViEWS efektif sebagai deteksi dini perburukan pasien di IGD.Kata Kunci : vitalpac early warning scoring, perburukan, access block

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