scholarly journals Quality and safety between ward and board: a biography of artefacts study

2018 ◽  
Vol 6 (22) ◽  
pp. 1-142 ◽  
Author(s):  
Justin Keen ◽  
Emma Nicklin ◽  
Andrew Long ◽  
Rebecca Randell ◽  
Nyantara Wickramasekera ◽  
...  

BackgroundThere have been concerns about the quality and safety of NHS hospital services since the turn of the millennium. This study investigated the progress that acute NHS hospital trusts have made in developing and using technology infrastructures to enable them to monitor quality and safety following the publication in 2013 of the second Francis report on the scandal at Mid Staffordshire NHS Foundation Trust (The Mid Staffordshire NHS Foundation Trust Public Inquiry. Chaired by Sir Robert Francis QC.Report of the Mid Staffordshire NHS Foundation Trust Public Inquiry. HC 898. London: The Stationery Office; 2013).MethodsA telephone survey of 15 acute NHS trusts in the Yorkshire and the Humber region, and a review of board papers of all acute NHS trusts in England for January 2015, were undertaken. The telephone survey was used to identify trusts for a larger field study, which was undertaken in four acute NHS trusts between April 2015 and September 2016. The methods included the direct observation of the use of whiteboards and other technologies on two wards in each trust, an observation of board quality committees, semistructured interviews and an analysis of the quality and safety data in board papers. Published sources about national and local agencies were reviewed to identify the trust quality and safety data that these agencies accessed and used. An interview programme was also undertaken with those organisations. The Biography of Artefacts approach was used to analyse the data.FindingsThe data and technology infrastructures within trusts had developed over many years. The overall design had been substantially determined by national agencies, and was geared to data processing: capturing and validating data for submission to national agencies. Trust boards had taken advantage of these data and used them to provide assurance about quality and safety. Less positively, the infrastructures were fragmented, with different technologies used to handle different quality and safety data. Real-time management systems on wards, including electronic whiteboards and mobile devices, were used and valued by nurses and other staff. The systems support the proactive management of clinical risks. These developments have occurred within a broad context, with trusts focusing on improving the quality and safety of services and publishing far more data on their performance than they did just 3 years earlier. Trust-level data suggest that quality and safety improved at all four trusts between 2013 and 2016. Our findings indicate that the technology infrastructures contributed to these improvements. There remains considerable scope to rationalise those infrastructures.LimitationsThe four trusts in the main study were, in part, purposively selected, and deliberately biased towards sites that had made progress with designing and deploying real-time ward management systems. This limits the generalisability of the study. The study focused more on the work of nurses and nurse managers, and has relatively little to say about the experiences of doctors or allied health professionals.Future workFuture research might focus on the effects of mobile technologies and electronic whiteboards on acute wards, the value of current national data returns, and the uses and value of trust data warehouses.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

10.28945/4201 ◽  
2019 ◽  

[This Proceedings paper was revised and published in the 2019 issue of the journal Issues in Informing Science and Information Technology, Volume 16] Aim/Purpose: Teachers are being asked to integrate mobile technologies into their content creation and distribution tasks. This research aims to provide an understanding of teachers taking on this process and whether the use of technology has influenced their content creation and distribution in the classroom. Background: Many claim that the use of technology for content creation and distribution can only enhance and improve the educational experience. However, for teachers it is not simply the integration of technology that is of prime concern. As teachers are ultimately responsible for the success of technology integration, it is essential to understand teachers’ viewpoints and lived technology experiences. Methodology: The Task-Technology Fit (TTF) model was used to guide interpretive case study research. Six teachers were purposively sampled and interviewed from a private school where a digital strategy is already in place. Data was then analysed using directed content analysis in relation to TTF. Contribution: This paper provides an understanding of teachers’ mobile technology choices in relation to content creation and distribution tasks. Findings: Findings indicate that teachers fit technology into their tasks if they perceive the technology has a high level of benefit to the teaching task. In addition, the age of learners and the subject being taught are major influencers. Recommendations for Practitioners: Provides a more nuanced and in-depth understanding of teachers’ technology choices, which is necessary for the technology augmented educational experience of the future. Recommendations for Researchers: Provides an unbiased and theoretically guided view of mobile technology use with content creation and distribution tasks. Impact on Society: Teachers do not appear to use technology as a de facto standard, but specifically select technology which will save them time, reduce costs, and improve the educational experiences of their learners. Future Research: A mixed-method approach, including several diverse schools as well as learners would enrich the findings. Furthermore, consideration of hardware limitations and lack of software features are needed.


Author(s):  
Syed Mubashir Ali ◽  
Asim Iftikhar

Recent past has seen an epidemic growth in the adoption of strategic information systems. In order to be successful, enterprises are putting in huge investments into implementation of information technology (IT) and knowledge management systems (KMS). KMS implementation in an IT industry has been discussed in this paper. Several challenges including multiple information sources, access control, and employee’s mistrust among others are being identified along with their possible solutions. Later foreseen benefits of KMS implementation including quicker problem identification, faster response time, and cost saving among others are being highlighted. The paper concludes with revealing future research possibilities.


J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.


2021 ◽  
pp. 135050762110097
Author(s):  
Amy L Fraher

This article aims to advance the psychodynamic understanding of imagination failures by studying lessons learned in the US government’s public inquiry into September 11th, 2001 (9/11). Analyzing the findings of The 9/11 Report, I theorize that two forms of macro-level hubris—America’s “hubris of empire-building” and Al Qaeda’s “hubris-nemesis complex”—amalgamated in a uniquely generative manner leading to events on 9/11. Previous studies of public inquiries often demonstrate that inquiry reports are monological story-telling performances used to create sense-making narratives that function hegemonically to impose a simplified version of reality to assign blame and depoliticize events in order to facilitate closure after shocking events. In contrast, findings here suggest that by constructing a critical narrative, The 9/11 Report may serve as a new type of public inquiry report that invites learning about the complex factors that underpin crisis. The article concludes by identifying fruitful areas of future research and ways to theorize further about the collective psychodynamics of macro-level hubris and the psychodynamic factors that hinder learning and contribute to imagination failures.


Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1043
Author(s):  
Abdallah A. Smadi ◽  
Babatunde Tobi Ajao ◽  
Brian K. Johnson ◽  
Hangtian Lei ◽  
Yacine Chakhchoukh ◽  
...  

The integration of improved control techniques with advanced information technologies enables the rapid development of smart grids. The necessity of having an efficient, reliable, and flexible communication infrastructure is achieved by enabling real-time data exchange between numerous intelligent and traditional electrical grid elements. The performance and efficiency of the power grid are enhanced with the incorporation of communication networks, intelligent automation, advanced sensors, and information technologies. Although smart grid technologies bring about valuable economic, social, and environmental benefits, testing the combination of heterogeneous and co-existing Cyber-Physical-Smart Grids (CP-SGs) with conventional technologies presents many challenges. The examination for both hardware and software components of the Smart Grid (SG) system is essential prior to the deployment in real-time systems. This can take place by developing a prototype to mimic the real operational circumstances with adequate configurations and precision. Therefore, it is essential to summarize state-of-the-art technologies of industrial control system testbeds and evaluate new technologies and vulnerabilities with the motivation of stimulating discoveries and designs. In this paper, a comprehensive review of the advancement of CP-SGs with their corresponding testbeds including diverse testing paradigms has been performed. In particular, we broadly discuss CP-SG testbed architectures along with the associated functions and main vulnerabilities. The testbed requirements, constraints, and applications are also discussed. Finally, the trends and future research directions are highlighted and specified.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shi Zhao ◽  
Tien-Fu Lu ◽  
Larissa Statsenko ◽  
Benjamin Koch ◽  
Chris Garcia

Purpose In the mining industry, a run-of-mine (ROM) stockpile is a temporary storage unit, but it is also widely accepted as an effective method to reduce the short-term variations of ore grade. However, tracing ore grade at ROM stockpiles accurately using most current fleet management systems is challenging, due to insufficient information available in real time. This study aims to build a three-dimensional (3D) model for ROM stockpiles continuously based on fine-grained grade information through integrating data from a number of ore grade tracking sources. Design/methodology/approach Following a literature review, a framework for a new stockpile management system is proposed. In this system, near real-time high-resolution 3D ROM stockpile models are created based on dump/load locations measured from global positioning system sensors. Each stockpile model contains a group of layers which are separated by different qualities. Findings Acquiring the geometric shapes of all the layers in a stockpile and cuts made by front wheel loaders provides a better understanding about the quality and quality distribution within a stockpile when it is stacked/reclaimed. Such a ROM stockpile model can provide information on predicating ore blend quality with high accuracy and high efficiency. Furthermore, a 3D stockyard model created based on such ROM stockpile models can help organisations optimise material flow and reduce the cost. Research limitations/implications The modelling algorithm is evaluated using a laboratory scaled stockpile at this stage. The authors expect to scan a real stockpile and create a reference model from it. Meanwhile, the geometric model cannot represent slump or collapse during reclaiming faithfully. Therefore, the model is expected to be reconcile monthly using laser scanning data. Practical implications The proposed model is currently translated to the operations at OZ Minerals. The use of such model will reduce the handling costs and improve the efficiency of existing grade management systems in the mining industry. Originality/value This study provides a solution to build a near real-time high-resolution multi-layered 3D stockpile model through using currently available information and resources. Such novel and low-cost stockpile model will improve the production rates with good output product quality control.


Author(s):  
Bernd Resch ◽  
Andreas Wichmann ◽  
Nicolas Göll

Even though advantages of 3D visualisation of multi-temporal geo-data versus 2D approaches have been widely proven, the particular pertaining challenge of real-time visualisation of geo-data in mobile Digital Earth applications has not been thoroughly tackled so far. In the emerging field of Augmented Reality (AR), research needs comprise finding the optimal information density, the interplay between orientation data in the background and other information layers, using the appropriate graphical variables for display, or selecting real-time base data with adequate quality and suitable spatial accuracy. In this paper we present a concept for integrating real-time data into 4D (three spatial dimensions plus time) AR environments, i.e., data with “high” spatial and temporal variations. We focus on three research challenges: 1.) high-performance integration of real-time data into AR; 2.) usability design in terms of displaying spatio-temporal developments and the interaction with the application; and 3.) design considerations regarding reality vs. virtuality, visualisation complexity and information density. We validated our approach in a prototypical application and extracted several limitations and future research areas including natural feature recognition, the cross-connection of (oftentimes monolithic) AR interface developments and well-established cartographic principles, or fostering the understanding of the temporal context in dynamic 4D Augmented Reality environments.


Author(s):  
Ana Clariza Natanauan ◽  
Jenmart Bonifacio ◽  
Mikael Manuel ◽  
Rex Bringula ◽  
John Benedic Enriquez

This descriptive-exploratory study attempted to give the readers a portrait of cyber café gamers in Manila. It determined the profile of gamers, their gaming usage, and their purposes of cyber café gaming. Descriptive statistics revealed that most of the respondents were Manila settlers, students, pursuing or had obtained college degrees, male, young, Roman Catholic, single, belonged to middle-income class, and played games in cyber cafés in the afternoon once to twice a week. One-way chi-square showed that frequency of gaming was not equally distributed in a week and gamers showed tendency to play games in a cyber in a particular time of the day. Real-time strategy games were the most frequently played games in cyber cafés. To recreate, to relieve boredom, and to have fun were the top three reasons in playing games in cyber cafés. Conclusions and directions for future research were also presented.


2017 ◽  
Author(s):  
David Kotz ◽  
Sarah E Lord ◽  
A James O'Malley ◽  
Luke Stark ◽  
Lisa A. Marsch

UNSTRUCTURED Wearable and portable digital devices can support self-monitoring for patients with chronic medical conditions, individuals seeking to reduce stress, and people seeking to modify health-related behaviors such as substance use or overeating. The resulting data may be used directly by a consumer, or shared with a clinician for treatment, a caregiver for assistance, or a health coach for support. The data can also be used by researchers to develop and evaluate just-in-time interventions that leverage mobile technology to help individuals manage their symptoms and behavior in real time and as needed. Such wearable systems have huge potential for promoting delivery of anywhere-anytime health care, improving public health, and enhancing the quality of life for many people. The Center for Technology and Behavioral Health at Dartmouth College, a P30 “Center of Excellence” supported by the National Institute on Drug Abuse at the National Institutes of Health, conducted a workshop in February 2017 on innovations in emerging technology, user-centered design, and data analytics for behavioral health, with presentations by a diverse range of experts in the field. The workshop focused on wearable and mobile technologies being used in clinical and research contexts, with an emphasis on applications in mental health, addiction, and health behavior change. In this paper, we summarize the workshop panels on mobile sensing, user experience design, statistics and machine learning, and privacy and security, and conclude with suggested research directions for this important and emerging field of applying digital approaches to behavioral health. Workshop insights yielded four key directions for future research: (1) a need for behavioral health researchers to work iteratively with experts in emerging technology and data analytics, (2) a need for research into optimal user-interface design for behavioral health technologies, (3) a need for privacy-oriented design from the beginning of a novel technology, and (4) the need to develop new analytical methods that can scale to thousands of individuals and billions of data points.


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