scholarly journals The Clinical Nursing and Midwifery Dashboard (CNMD): A State-Wide Implementation

2021 ◽  
Author(s):  
Ahmad Abdel-Hafez ◽  
Don Baker ◽  
Michelle Winning ◽  
Alan Scanlon
Keyword(s):  
Statistical Analysis ◽  
Risk Assessments ◽  
P Value ◽  
Maternity Unit ◽  
Evaluation Approach ◽  
Clinical Nursing ◽  
Real Time Information ◽  
The Impact ◽  
Time Information ◽  
Completion Times

The clinical nursing and midwifery dashboard (CNMD) was built to provide a near real-time information and data visualisations for nurse unit managers (NUMs) and maternity unit managers (MUMs) within only a 5-15 minutes delay from when they enter data to the integrated electronic medical records (ieMR) system. The dashboard displays metrics and information about current adult inpatients in overnight wards. The aim is to support NUMs and MUMs to manage their daily workload and have continuous visibility of patients nursing risk and safety assessment documentation. A quantitative evaluation approach was conducted to measure the impact of the dashboard on key performance indicators. Statistical analysis was completed to compare risk assessment average completion times prior to and post CNMD implementation. The results of the evaluation were positive, and the statistical analysis shows significant reduction in the average time to complete different risk assessments with p-value<0.01.

scholarly journals Pattern analysis of S. haematobium infection and elimination in the area of Alsuki, Sudan

2021 ◽  
Vol 8 (3) ◽  
pp. 1059
Author(s):  
Rawia A. Abdelshafie ◽  
Abdalla I. Abdalla Mohamed
Keyword(s):  
Risk Factors ◽  
Statistical Analysis ◽  
Health Program ◽  
Pattern Analysis ◽  
Cross Sectional Study ◽  
P Value ◽  
Sectional Study ◽  
Cross Sectional ◽  
The People ◽  
The Impact

Background: The aim of this study was to determine the current conditions of children of the selected area, for the purpose of measuring the new effective health program for schistosomiasis disease eliminations and obtain the prevalence intensity and risk factors of S. haematobium among school children in the study area.Methods: A descriptive cross-sectional study was used to screen school going children of all the ages from five randomly selected schools from Alsuki region. A statistical analysis derived from data formulated based on 1062 samples aged between 6 and 15 years attending the selected schools during the period testing within 6 months were enrolled.Results: The impact of health awareness program was measured usefully and the responded factor for reducing the Schistosomiasis diseases was significantly became less than (0.05). Therefore, the actual qualified fitting degree and applicability was significantly becoming (p value=0.001).Conclusions: This research concluded that the prediction of Schistosomiasis diseases due to the risk Ratio of the collected data for those who did not attended awareness over the people who attended program became (0.248).

A Measure to Detect Sleep Onset Using Statistical Analysis of Spike Rhythmicity

2014 ◽  
Vol 3 (1) ◽  
pp. 27-41 ◽  
Author(s):  
B.R. Purnima ◽  
N. Sriraam ◽  
U. Krishnaswamy ◽  
K. Radhika
Keyword(s):  
Statistical Analysis ◽  
Sleep Onset ◽  
Rank Test ◽  
P Value ◽  
Sleep State ◽  
Statistical Measures ◽  
Plot Analysis ◽  
Significant Difference ◽  
Signed Rank Test ◽  
The Impact

Electroencephalogram (EEG) signals derived from polysomnography recordings play an important role in assessing the physiological and behavioral changes during onset of sleep. This paper suggests a spike rhythmicity based feature for discriminating the wake and sleep state. The polysomnography recordings are segmented into 1 second EEG patterns to ensure stationarity of the signal and four windowing scheme overlaps (0%, 50%, 60% and 75%)of EEG pattern are introduced to study the influence of the pre-processing procedure. The application of spike rhythmicity feature helps to estimate the number of spikes from the given pattern with a threshold of 25%.Then non parametric statistical analysis using Wilcoxon signed rank test is introduced to evaluate the impact of statistical measures such as mean, standard deviation, p-value and box-plot analysis under various conditions .The statistical test shows significant difference between wake and sleep with p<0.005 for the applied feature, thus demonstrating the efficiency of simple thresholding in distinguishing sleep and wake stage .

scholarly journals The Performance of Challenges Faced by SME in Managing Real-Time Information in the Inventory Management Process

2019 ◽  
Vol 8 (12) ◽  
pp. 5614-5618
Keyword(s):  
Real Time ◽  
Inventory Management ◽  
Business Performance ◽  
Qualitative Method ◽  
Skilled Worker ◽  
Depth Interview ◽  
Real Time Information ◽  
The Impact ◽  
Time Information ◽  
Food Manufacturer

Managing real-time information is an important task for any organization regardless of the size. This is because real-time information is used as the basis for an organization to make decisions that will affect the business if the information obtained is inaccurate, slow and outdated. For SMEs, this is a great challenge as it faces capital constraints and outdated technological applications. Thus, the purpose of this study to examine the challenges faced by SMEs in managing the real-time information to their inventory management and the impact on the overall business performance. A qualitative method was adopted where the in-depth interview was using to extract the information. Based on the saturation principle, the respondent was selected specifically from the SMEs in food manufacturer based in Malacca Halal Hub area. The finding of this study has supported the previous study on the challenges and issue of real-time information facing by the SMEs. A notable finding in this research is that SMEs is employing a skilled worker to manage the absence of an information system to manage real-time information and still capable to generate a profit from the business. This study extended the previous finding and offer an opportunity for further exploration in this area.

A Measure to Detect Sleep Onset Using Statistical Analysis of Spike Rhythmicity

2015 ◽  
pp. 1567-1578
Author(s):  
B.R. Purnima ◽  
N. Sriraam ◽  
U. Krishnaswamy ◽  
K. Radhika
Keyword(s):  
Statistical Analysis ◽  
Sleep Onset ◽  
Rank Test ◽  
P Value ◽  
Sleep State ◽  
Statistical Measures ◽  
Plot Analysis ◽  
Signed Rank ◽  
Signed Rank Test ◽  
The Impact

Electroencephalogram (EEG) signals derived from polysomnography recordings play an important role in assessing the physiological and behavioral changes during onset of sleep. This paper suggests a spike rhythmicity based feature for discriminating the wake and sleep state. The polysomnography recordings are segmented into 1 second EEG patterns to ensure stationarity of the signal and four windowing scheme overlaps (0%, 50%, 60% and 75%) of EEG pattern are introduced to study the influence of the pre-processing procedure. The application of spike rhythmicity feature helps to estimate the number of spikes from the given pattern with a threshold of 25%.Then non parametric statistical analysis using Wilcoxon signed rank test is introduced to evaluate the impact of statistical measures such as mean, standard deviation, p-value and box-plot analysis under various conditions .The statistical test shows significant difference between wake and sleep with p<0.005 for the applied feature, thus demonstrating the efficiency of simple thresholding in distinguishing sleep and wake stage .

The Impact of Traffic Information Acquisition on the Traffic Conditions of the Athens Greater Area

2015 ◽  
pp. 174-191
Author(s):  
Athena Tsirimpa ◽  
Amalia Polydoropoulou
Keyword(s):  
Information Acquisition ◽  
Latent Variable ◽  
Traffic Information ◽  
Activity Scheduling ◽  
Variable Model ◽  
Travel Information ◽  
Traffic Conditions ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

The main objective of this article is to gain fundamental understanding on the effect of real time information acquisition, on the traffic conditions of the Athens greater area. Activity scheduling is a dynamic process, where individuals often need to modify their schedule, as a result of new insights. Research so far hasn't analyzed the effect of traffic information acquisition, in activity scheduling, although several studies have been conducted to capture the factors that influence the rescheduling of activities. An integrated latent variable model has been estimated, that predicts the probability of rescheduling activities as a function of flexibility, mode choice constraints and travel information. The analysis of the results indicates that one of the biggest impacts of traffic information acquisition is reflected in the rescheduling of activities. Therefore, traffic information not only can significantly improve the travel experience of individuals but may directly affect the performance of the transportation system.

Breathe Easy, There's an App for That: Using Information and Communication Technology to Avoid Air Pollution in Bogotá

2021 ◽  
Author(s):  
Allen Blackman ◽  
Bridget Hoffmann
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Real Time ◽  
Avoidance Behavior ◽  
Ambient Air ◽  
Text Messages ◽  
Information And Communication ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

Ambient air pollution is a leading cause of death in developing countries. In theory, using smartphone apps, text messages, and other personal information and communication technologies to disseminate real-time information about such pollution can boost avoidance behavior like wearing face masks and closing windows. Yet evidence on their effectiveness is limited. We conduct a randomized controlled trial to evaluate the impact of training university students in Bogotá, Colombia to use a newly available municipal government smartphone app that displays real-time information on air quality. The training increased participants acquisition of information about air quality, their knowledge about avoidance behavior, and their actual avoidance behavior. It also enhanced their concern about other environmental issues. These effects were moderated by participants characteristics. For example, the training was generally less effective among job holders.

scholarly journals Temporal Analysis of Influence of Resource Failures on Cyber-Physical Systems Based on Discrete Timed Petri Nets

2021 ◽  
Vol 11 (14) ◽  
pp. 6469
Author(s):  
Fu-Shiung Hsieh
Keyword(s):  
Petri Nets ◽  
Real Time ◽  
Cyber Physical Systems ◽  
Shop Floor ◽  
Real Problem ◽  
Timed Petri Nets ◽  
Physical Systems ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

Advancement of IoT and ICT provide infrastructure to manage, monitor and control Cyber-Physical Systems (CPS) through timely provision of real-time information from the shop floor. Although real-time information in CPS such as resource failures can be detected based on IoT and ICT, improper response to resource failures may cripple CPS and degrade performance. Effective operations of CPS relies on an effective scheme to evaluate the impact of resource failures, support decision making needed and take proper actions to respond to resource failures. This motivates us to develop a methodology to assess the impact of resource failures on operations of CPS and provide the decision support as needed. The goal of this study is to propose solution algorithms to analyze robustness of CPS with respect to resource failures in terms of the impact on temporal properties. Given CPS modeled by a class of discrete timed Petri nets (DTPNs), we develop theory to analyze robustness of CPS by transforming the models to residual spatial-temporal network (RSTN) models in which capacity loss due to resources is reflected. We formulate an optimization problem to determine the influence of resource failures on CPS based on RSTNs and analyze the feasibility to meet the order deadline. To study the feasibility to solve a real problem, we analyze the computational complexity of the proposed algorithms. We illustrate the proposed method by application scenarios. We conduct experiments to study efficiency and verify computational feasibility of the proposed method to solve a real problem.

scholarly journals The impact of real-time information on passengers’ value of bus waiting time

2018 ◽  
Vol 31 ◽  
pp. 18-34 ◽  
Author(s):  
Hui Lu ◽  
Peter Burge ◽  
Chris Heywood ◽  
Rob Sheldon ◽  
Peter Lee ◽  
...  
Keyword(s):  
Real Time ◽  
Waiting Time ◽  
Real Time Information ◽  
The Impact ◽  
Time Information
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