Quality Based on a Spatial SERVQUAL Model in Healthcare

2012 ◽  
pp. 209-219
Author(s):  
Stelios Zimeras
Keyword(s):  
Performance Management ◽  
Real Time ◽  
Spatial Information ◽  
Spatial Interaction ◽  
Health Sector ◽  
Geographical Location ◽  
Quality Of Healthcare ◽  
Local Health ◽  
Time Data ◽  
Health Trends

The main purpose of this work is to represent an alternative effective model for measuring the quality of healthcare (SERVQUAL) considering the geographical location of the under examination healthcare sectors. Based on that consideration, a new modeling is taking place introducing a spatial interaction between neighboring regions (spatial-SERVQUAL model). New directions are analyzed implementing specific questionnaires taking advantage of the spatial information given by the evaluation of the model. Moreover the role of spatial information in the health sector in relation to, for example, local health improvement performance management, is analyzed to support needs assessment and resource targeting as one of the principal action points in healthcare policies. Finally, the benefits of the GIS systems are illustrated, combined with the spatial assumptions, introducing a real-time health and disease monitoring tool to identify significant health trends in real-time data streams and geographic information systems.

scholarly journals Integrated Visualization Approach for Real-Time and Dynamic Assessment of Storm Surge Disasters for China’s Seas

2020 ◽  
Vol 9 (1) ◽  
pp. 51 ◽  
Author(s):  
Lin Zhou ◽  
Wei Hu ◽  
Zhen Jia ◽  
Xinfang Li ◽  
Yaru Li ◽  
...  
Keyword(s):  
Real Time ◽  
Storm Surge ◽  
Spatial Information ◽  
3D Visualization ◽  
Dynamic Assessment ◽  
Indicator System ◽  
Time Data ◽  
Term Operation ◽  
Visualization Technology ◽  
Assessment Results

For improved prevention and reduction of marine disasters, China’s marine authorities and emergency response agencies require a solution that provides risk assessment, early warning, and decision-making support. This paper proposes a comprehensive approach to disaster assessment that involves automated long-term operation, a spatial information visualization method and systematic integration. The proposed approach provides functions for numerical ocean models with forecast results, automated processing of massive data, multiple disaster/element coupled assessment, and multidimensional display and expression. With regard to storm surge disasters, the approach proposed in this paper adopts a four-tier structure and the functions of each tier are described separately. The original data are comprised of a combination of statistical analysis data and real-time data obtained from the unstructured grid Finite Volume Community Ocean Model. Automated data processing methods and assessment theories incorporating an indicator system and weighted parameters are used for the assessment. By applying 2D/3D visualization technology, assessment results are displayed via several modes for ease of operation and comprehension. The validity of the approach was verified by applying it to Typhoon Hato (No. 1713). Compared with the results of the post-disaster investigation, the assessment results of the proposed approach proved the reliability of the system.

scholarly journals Implementation of Mobile Phone Data Collection in the Conduct EPI Comprehensive Review in East and Southern African Countries

2021 ◽  
Vol Special Issue (2) ◽  
pp. 55-62
Author(s):  
Isah Mohammed Bello ◽  
Abubakar Sadiq Umar ◽  
Godwin Ubong Akpan ◽  
Joseph Okeibunor ◽  
Chukwudi Shibeshi ◽  
...  
Keyword(s):  
Data Collection ◽  
Mobile Phone ◽  
Real Time ◽  
Mobile Phones ◽  
Health Sector ◽  
Mobile Phone Data ◽  
Data Detection ◽  
Time Data ◽  
African Countries ◽  
Comprehensive Review

Mobile phone data collection tools are increasingly becoming very usable collecting, collating and analysing data in the health sector. In this paper, we documented the experiences with mobile phone data collection, collation and analysis in 5 countries of the East and Southern African, using Open Data Kit (ODK), where questionnaires were designed and coded on an XML form, uploaded and data collected using Android-Based mobile phones, with a web-based system to monitor data in real-time during EPI comprehensive review. The ODK interface supports in real-time monitoring of the flow of data, detection of missing or incomplete data, coordinate location of all locations visited, embedded charts for basic analysis. It also minimized data quality errors at entry level with the use of validation codes and constraint developed into the checklist. These benefits, combined with the improvement that mobile phones offer over paper-based in terms of timeliness, data loss, collation, and real-time data collection, analysis and uploading difficulties, make mobile phone data collection a feasible method of data collection that needs to be further explored in the conduct of all surveys in the organization.

scholarly journals DETECTING FLU OUTBREAKS BASED ON SPATIOTEMPORAL INFORMATION FROM URBAN SYSTEMS – DESIGNING A NOVEL STUDY

2018 ◽  
Vol XLII-3/W4 ◽  
pp. 231-237
Author(s):  
L. O. Grottenberg ◽  
O. Njå ◽  
E. Tøssebro ◽  
G. S. Braut ◽  
R. Tønnessen ◽  
...  
Keyword(s):  
Real Time ◽  
Spatial Information ◽  
Road Traffic ◽  
Epidemiological Data ◽  
Urban Transport ◽  
Urban Systems ◽  
Transport Systems ◽  
Time Data ◽  
Spatiotemporal Information ◽  
Seasonal Flu

<p><strong>Abstract.</strong> This paper explores the application of real-time spatial information from urban transport systems to understand the outbreak, severity and spread of seasonal flu epidemics from a spatial perspective. We believe that combining travel data with epidemiological data will be the first step to develop a tool to predict future epidemics and to better understand the effects that these outbreaks have on societal functions over time. Real-time data-streams provide a powerful, yet underutilised tool when it comes to monitoring and detecting changes to the daily behaviour of inhabitants.<br> In this paper, we describe and discuss the design of the geospatial project, in which we will draw upon data sources available from the Norwegian cities of Oslo and Bergen. Historical datasets from public transport and road traffic will serve as an initial indication of whether changes in daily transport patterns corresponds to seasonal flu data. It is expected that changes in daily transportation habits corresponds to swings in daily and weekly flu activity and that these differences can be measured through geostatistical analysis. Conceptually one could be able to monitor changes in human behaviour and activity in nearly true time by using indicators derived from outside the clinical health services. This type of more up-to-date and geographically precise information could contribute to earlier detection of flu outbreaks and serve as background for implementing tailor-made emergency response measures over the course of the outbreaks.</p>

scholarly journals Real-Time Data Visualisation in Collaborative Virtual Environment for Emergency Management

2013 ◽  
Vol 5 (4) ◽  
pp. 13-44 ◽  
Author(s):  
Pan Wang ◽  
Ian Bishop
Keyword(s):  
Emergency Management ◽  
Real Time ◽  
Virtual Environment ◽  
Spatial Information ◽  
System Development ◽  
Research Approach ◽  
Prototype System ◽  
Time Data ◽  
Collaborative Virtual Environment ◽  
Real Time Data

A collaborative virtual environment (CVE) is a shared virtual environment used for collaboration of many participants that may be spread over large distances. CVEs have been widely used in emergency management, especially for education, training and assessment. This paper describes the design and implementation of a prototype system that facilitates emergency management via a CVE using real-time spatial information. In particular, a method for automatic integration, modeling and visual simulation using real-time data from multiple online sources is proposed. Moreover, strategies are presented for using CVE-based scenarios for carrying out training, and testing preparedness measures. A novel technique has also been developed for real-time situation monitoring. Based on a system development (SD) research approach, the performance and functionality of the system was tested and evaluated. The use of real-time data acquisition and simulation was deemed to improve the processes of emergency management by increasing engagement, enhancing training and supporting decision-making of first responders and emergency managers.

scholarly journals COVID-19 Exposes Urgent Inequities: A Call to Action for Healthcare Reform

2020 ◽  
Vol 17 (01) ◽  
Author(s):  
Priyanka Bushana ◽  
Brandy Seignemartin ◽  
Ravneet Kaur Waraich ◽  
Whitney W. Wood
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Health Inequities ◽  
Safety Net ◽  
The United States ◽  
Local Health ◽  
Time Data ◽  
Emergency Plan ◽  
Kaiser Family Foundation ◽  
Marginalized Communities

The COVID-19 pandemic has exposed undeniable health inequities among marginalized communities (MC), including black, indigenous, and other people of color (BIPOC) in the United States (Forno and Celedón 2012, Kaiser Family Foundation 2017, US National Center for Health Statistics 2019, Glasgow 2020). The lack of centralized support for local health responses has jeopardized many MC/BIPOC (Baah, Teitelman, and Riegel 2019). We propose the Department of Health and Human Services (HHS) implement the following policy steps: 1. Centrally collect patient data on social determinants of health and equity and post-COVID-19 health outcomes (Paradies et al. 2015, Jones et al. 2009, Magnan 2017). Real-time data collection allows for real-time quality improvement and implementation of policies to mitigate inequities in the short-term. 2. Expand and implement Centers for Medicare and Medicaid (CMS) value-based care models (VBCM) to address inequities in the long-term. VBCMs institutionalize data collection initiated in Step 1 while concurrently implementing interventions. 3. Temporarily expand Medicaid coverage for individuals needing subsidized insurance. This provides a safety net for those suffering employment instability during the crisis, alleviating some root causes of health inequities. These steps will centralize resources, empowering local health systems to control and contain outbreaks disproportionately occurring among MC/BIPOC. HHS is positioned to implement these policies and mitigate further damage from COVID-19. HHS agencies such as the Food and Drug Administration (FDA) and Centers for Disease Control and Prevention (CDC) have successfully implemented centralization responses, such as the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) in response to the HIV/AIDS epidemic, effectively targeting disparities (Valdiserri and Holtgrave 2020). These previous successful responses by the HHS should compel intervention in the present crisis.

Digitalization for Effective Performance Management Using Key Performance Indicators in Miscible Gas Injection Projects in South Oman

2021 ◽  
Author(s):  
Kamlesh Kumar ◽  
Tushar Narwal ◽  
Zaal Alias ◽  
Pankaj Agrawal ◽  
Ali Farsi ◽  
...  
Keyword(s):  
Performance Management ◽  
Real Time ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Production Optimization ◽  
Utilization Efficiency ◽  
Analysis Tool ◽  
Time Data ◽  
Short Term ◽  
Web Based

Abstract South Oman has several pre-Cambrian reservoirs that are highly pressured (400-1000 bar), deep (3-5 km) and critically sour (H2S up to 10%). The combined STOIIP of these reservoirs makes it one of the largest gas EOR projects in the world. The objective here is to highlight the key performance indicators and digitalization techniques used for continuous and effective well, reservoir and facility management (WRFM) and production optimization, while honoring the facility constraints and gas export requirements. Real time pressure data such as tubing head pressures, injection/production rates along with other data including maps, static pressures and production logs are used to define an appropriate set of performance metric at various levels, e.g. reservoir, sector or well. Digitalization of surveillance data helps in real time production optimization such as offtake management based on creaming curves according to gas sink availability and facility constraints. Key business performance indicators include gas utilization efficiency; MGI performance indicators include incremental oil, throughput, instantaneous and cumulative voidage replacement ratios, gas breakthrough level and time, ratio of reservoir pressure to the target minimum miscibility pressure; and facility constraints are optimized through gas balance, along with tracking field performance against the initial FDP forecasts. Real time performance data is tracked using a commercial Real-Time Data Analysis tool (RTDA) and Database Analytics Visualization Tool (DAVT), with surveillance indicators targeted at well, reservoir and facility level. The above-defined Key Performance Indicators (KPI) are tracked against predictions from the field development plan in web-based portal developed at PDO (Nibras). Digitalization has enabled quick and effective monitoring of these KPI, short-term optimization of injection distribution and offtake rates to maximize oil production and overall value within facilities constraints and varying export gas commitments based on South Oman Gas Line (SOGL) network optimization. Using dimensionless plots and a standardized set of parameters help in developing a common understanding and benchmarking the MGI reservoir response with analogs and amongst different reservoirs. This work presents a set of performance KPIs and short-term optimization methodology using digitalization and LEAN framework that are tracked in a web-based portal, RTDA and DAVT. It provides means to facilitate offtake decisions to meet variable export requirements while honoring facilities constraints, assess reservoir performance, providing valuable insights that helps in speedy reservoir management decisions. This process has been replicated across PDO for all related MGI projects and can benefit other development types, e.g. chemical/steam injection.

Ambulatory Assessment

2009 ◽  
Vol 14 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Ulrich W. Ebner-Priemer ◽  
Timothy J. Trull
Keyword(s):  
Real Time ◽  
Clinical Psychology ◽  
Real Life ◽  
Ambulatory Assessment ◽  
Computer Assisted ◽  
Affective Valence ◽  
Time Data ◽  
Physiological Processes ◽  
Context Specific ◽  
Questionnaire Studies

Convergent experimental data, autobiographical studies, and investigations on daily life have all demonstrated that gathering information retrospectively is a highly dubious methodology. Retrospection is subject to multiple systematic distortions (i.e., affective valence effect, mood congruent memory effect, duration neglect; peak end rule) as it is based on (often biased) storage and recollection of memories of the original experience or the behavior that are of interest. The method of choice to circumvent these biases is the use of electronic diaries to collect self-reported symptoms, behaviors, or physiological processes in real time. Different terms have been used for this kind of methodology: ambulatory assessment, ecological momentary assessment, experience sampling method, and real-time data capture. Even though the terms differ, they have in common the use of computer-assisted methodology to assess self-reported symptoms, behaviors, or physiological processes, while the participant undergoes normal daily activities. In this review we discuss the main features and advantages of ambulatory assessment regarding clinical psychology and psychiatry: (a) the use of realtime assessment to circumvent biased recollection, (b) assessment in real life to enhance generalizability, (c) repeated assessment to investigate within person processes, (d) multimodal assessment, including psychological, physiological and behavioral data, (e) the opportunity to assess and investigate context-specific relationships, and (f) the possibility of giving feedback in real time. Using prototypic examples from the literature of clinical psychology and psychiatry, we demonstrate that ambulatory assessment can answer specific research questions better than laboratory or questionnaire studies.

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data
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