scholarly journals Integrated monitoring and analysis for early warning of patient deterioration

2007 ◽  
Vol 98 (1) ◽  
pp. 149-152
Keyword(s):  
Early Warning ◽  
Integrated Monitoring ◽  
Patient Deterioration

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

Improving the reliability of the decision-making process in a rockslide Early Warning procedure

2020 ◽  
Author(s):  
Davide Bertolo
Keyword(s):  
Decision Making ◽  
Early Warning ◽  
Early Warning Systems ◽  
Direct Perception ◽  
Economic Losses ◽  
Decision Making Process ◽  
Civil Protection ◽  
Integrated Monitoring ◽  
Italian Economy ◽  
Protection Measures

<p>During the last decades, the progresses in rock slope monitoring improved the reliability of the Early Warning Systems (EWS) all over the world. Among their features, EWS are designed to provide to the decision makers objective tools in order to support their decisions in activating emergency plans.</p><p>The choice to design an EW System, if only based on displacement or rainfall thresholds, may not be sufficient to support the decision-making process, when the monitored rockslide is threatening high value targets, both in terms of exposed human lives and potential economic losses.</p><p>As a matter of fact, the integrated monitoring systems usually installed on active rock slopes provide many different data about the behaviour of these phenomena. Most of these data are worth to be weighted in the decisional process, as they are relevant to confirm a specific event scenario.</p><p>In addition, experts and EWS managers are facing an increasing demand by the stakeholders and the population, to effectively communicate in a user-friendly way the decision-making process, as well as the uncertainty degree associated with each decisional step.</p><p>That is a necessity which becomes critical in the moment when the population and the stakeholders have no direct perception of a potential catastrophic event and the civil protection measures are preventively activated before the emergency.</p><p>The aim of this work is to present the Early Warning procedure elaborated by the regional Geological survey of the Aosta Valley Autonomous Region (Italy), which is based on the experience derived from the emergency management of the Mont de La Saxe rockslide in 2013. </p><p>The new EW procedure has been successfully tested for the first time during the rockslide activation in spring 2014 and it has been refined and improved during the following years.</p><p>The potential collapse of the Mont de La Saxe rockslide threatens a part of the important touristic resort of Courmayeur and the E25 Motorway, one the most important national communication axes, connecting the industrial areas of the Northern Italy with France and Switzerland.</p><p>In such a sensitive situation, a not sufficiently motivated alert could have led to impacting civil protection measures like the evacuation of two villages and the traffic interruptions, damaging the Italian economy and the regional tourism.</p><p>Therefore, the EW managers have decided to strengthen the existing EW procedure, based on displacement thresholds, in order to achieve the maximum amount of confidence in the decisional process. The new procedure is based on a Bayesian inferential process, combining the available data provided by the monitoring system.</p><p>Thanks to this approach a quantitative degree of confidence can be assigned to each decisional step, increasing the warning levels up to the declaration of the emergency condition.</p><p>At the same time, the new EW procedure provides a transparent and replicable decisional process, where the confidence degree associated to the civil protection alert can be declared in the alert bulletins.</p>

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