530,112 research outputs found

    Growing an information infrastructure for healthcare based on the development of large-scale Electronic Patient Records

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    The papers of this thesis are not available in Munin. Paper 1. Silsand, L., Ellingsen, G. (2014). Generification by Translation: Designing Generic Systems in Context of the Local. Available in: Journal of Association for Information Systems, vol. 15(4): 3. Paper 2. Christensen, B., Silsand, L., Wynn, R. and Ellingsen, G. (2014). The biography of participation. In Proceedings of the 13th Participatory Design Conference, 6-10 Oct. Windhoek, Namibia. ACM Digital Library. Paper 3. Silsand, L. and Ellingsen, G. (2016). Complex Decision-Making in Clinical Practice. In: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM Digital Library. ISBN: 978-1-4503-3592-8. Paper 4: Silsand, L., Ellingsen, G. (2017). Governance of openEHR-based information Infrastructures. (Manuscript). Paper 5. Silsand, L. (2017). The ‘Holy Grail’ of Interoperability of Health Information Systems: Challenges and Implications. Available in: Stigberg S., Karlsen J., Holone H., Linnes C. (eds) Nordic Contributions in IS Research. SCIS 2017. Lecture Notes in Business Information Processing, vol 294. Springer, Cham. This thesis provides empirical insights about socio-technical interdependencies affecting the making and scaling of an Information Infrastructure (II) for healthcare based on the development of large-scale Electronic Patient Records. The Ph.D. study is an interpretive case study, where the empirical data has been collected from 2012 to 2017. In most developed countries, the pressures from politicians and public in general for better IT solutions have grown enormously, not least within Electronic Patient Record (EPR) systems. Considerable attention has been given to the proposition that the exchange of health information is a critical component to reach the triple aim of (1) better patient experiences through quality and satisfaction; (2) better health outcomes of populations; and (3) reduction of per capita cost of health care. A promising strategy for dealing with the challenges of accessibility, efficiency, and effective sharing of clinical information to support the triple aim is an open health-computing platform approach, exemplified by the openEHR approach in the empirical case. An open platform approach for computing EPR systems addresses some vital differences from the traditional proprietary systems. Accordingly, the study has payed attention to the vital difference, and analyze the technology and open platform approach to understand the challenges and implications faced by the empirical process. There are two main messages coming out of this Ph.D. study. First, when choosing an open platform approach to establish a regional or national information infrastructure for healthcare, it is important to define it as a process, not a project. Because limiting the realization of a large-scale open platform based infrastructure to the strict timeline of a project may hamper infrastructure growth. Second, realizing an open platform based information infrastructure requires large structural and organizational changes, addressing the need for integrating policy design with infrastructure design

    Integration of miniature, ultrasensitive chemical sensors in microfluidic devices

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    Simple construction, good detection limit1, very low power demand, and simple experimental setup coupled with miniaturization opportunities arising from solid-state format makes ISEs an excellent prospect for integration in autonomous sensing devices and ultimately their integration in large wireless chemo-sensing networks.2,3 Microfluidics, also known as “lab-on-a-chip” is an emerging technology that is changing the future of instrument design. Microfluidics enables small scale fluid control and analysis, allowing developing smaller, more cost-effective, and more powerful systems.4,5,6 We are working on development of miniature devices featuring sensitive yet simple sensors that could enable rapid access to important environmental information from in-situ deployed sensors, and thereby facilitate timely action to minimize the adverse impact of emerging incidents. Our work involves integration of ultra-sensitive yet simple chemical sensors into a microfluidic device that has integrated wireless communications capabilities. Our ultimate objective is to develop a microfluidic chip that will incorporate polymer-based lead-selective solid-state electrodes. We will test the series of developed chips for the best design to accommodate these sensors. Initially, we are targeting lead-selective sensors and their application to the monitoring of drinking and natural water quality. Our ultimate vision is the development of a microfluidic-based platform with fully integrated screen-printed solid-state ISEs, and the associated reference electrode, which will be suitable for use as a chemo-sensing component in a widely distributed wireless sensor network (WSN) for monitoring the quality of a fresh water system. A key challenge in the realization of this vision is to build in advanced system diagnostics, and particular, sensor status tests using simple electronic signals, in a manner similar to those used in physical transducers.7 In this way, it may be possible to assist in distinguishing sensor malfunction or signal artifacts from real events, even in relatively simple, low cost platforms

    Automated high-throughput and miniaturized semi-continuous chromatography

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    The major process limitations of current antibody purification processes are posed by affinity chromatography, although purification platforms based on affinity chromatography are very effective. Typically, protein A-based chromatography can account for more than 70% of downstream processing costs due to resin throughput, cost and complexity of scale up. Thus, there has been increased focus by the industry on developing and implementing continuous chromatography technology to increase resin capacity, reduce buffer consumption and increase productivity of packed bed steps. At UCB we have publicly presented a novel semi-continuous operation that can be operated on an unmodified chromatography skid named SCRAM (Sequential Chromatography Recycling with Asynchronous Multiplexing), which replicates the functionality and capacity gain of traditional continuous systems without the complexity. However, increasingly new innovative antibody formats have resulted in significant process platform adaptations to be performed prior to manufacture, and therefore the screening of many conditions to find a suitable window of operation may not be economically feasible at laboratory scale due to the amount of feedstream and resources required for each experiment. To overcome this issue, techniques that can generate data with minimal resource expenditure can be invaluable in early bioprocess development. Automated microscale platforms offer a change in bioprocess development by accelerating process development due to the flexibility for parallel experimentation and automation while requiring microscale quantities of material. In an industry first, we will demonstrate the application of SCRAM using 600 uL microscale columns on an automated robotic platform performed in parallel to explore large experimental design spaces with minimal resource expenditure. This has resulted in critical bioprocess information to be obtained earlier in development providing a better opportunity to understand process parameters and robustness understanding of this application. Therefore, this approach can be a viable and valuable alternative route for identifying sweet spots during screening studies in bioprocess development. Within the sector, automated high-throughput and miniaturised chromatographic process development relying on microscale columns is widespread, however, we believe this to be the first report of successful miniaturization of semi-continuous chromatography using microscale columns

    Engineering simulations for cancer systems biology

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    Computer simulation can be used to inform in vivo and in vitro experimentation, enabling rapid, low-cost hypothesis generation and directing experimental design in order to test those hypotheses. In this way, in silico models become a scientific instrument for investigation, and so should be developed to high standards, be carefully calibrated and their findings presented in such that they may be reproduced. Here, we outline a framework that supports developing simulations as scientific instruments, and we select cancer systems biology as an exemplar domain, with a particular focus on cellular signalling models. We consider the challenges of lack of data, incomplete knowledge and modelling in the context of a rapidly changing knowledge base. Our framework comprises a process to clearly separate scientific and engineering concerns in model and simulation development, and an argumentation approach to documenting models for rigorous way of recording assumptions and knowledge gaps. We propose interactive, dynamic visualisation tools to enable the biological community to interact with cellular signalling models directly for experimental design. There is a mismatch in scale between these cellular models and tissue structures that are affected by tumours, and bridging this gap requires substantial computational resource. We present concurrent programming as a technology to link scales without losing important details through model simplification. We discuss the value of combining this technology, interactive visualisation, argumentation and model separation to support development of multi-scale models that represent biologically plausible cells arranged in biologically plausible structures that model cell behaviour, interactions and response to therapeutic interventions

    Hypermodular Self-Assembling Space Solar Power -- Design Option for Mid-Term GEO Utility-Scale Power Plants

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    This paper presents a design for scaleable space solar power systems based on free-flying reflectors and module self-assembly. Lower system cost of utility-scale space solar power is achieved by design independence of yet-to-be-built in-space assembly or transportation infrastructure. Using current and expected near-term technology, this study describe a design for mid-term utility-scale power plants in geosynchronous orbits. High-level economic considerations in the context of current and expected future launch costs are given as well. \c{opyright} 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Comment: 6 pages, 3 figures; to be published in IEEE Xplore, in Proceedings to SSP 2013 Workshop, co-located with IEEE WiSEE 2013 Conference, Nov 7-9, Baltimore, MD, US

    iTETRIS: An Integrated Wireless and Traffic Platform for Real-Time Road Traffic Management Solutions

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    Wireless vehicular cooperative systems have been identified as an attractive solution to improve road traffic management, thereby contributing to the European goal of safer, cleaner, and more efficient and sustainable traffic solutions. V2V-V2I communication technologies can improve traffic management through real-time exchange of data among vehicles and with road infrastructure. It is also of great importance to investigate the adequate combination of V2V and V2I technologies to ensure the continuous and costefficient operation of traffic management solutions based on wireless vehicular cooperative solutions. However, to adequately design and optimize these communication protocols and analyze the potential of wireless vehicular cooperative systems to improve road traffic management, adequate testbeds and field operational tests need to be conducted. Despite the potential of Field Operational Tests to get the first insights into the benefits and problems faced in the development of wireless vehicular cooperative systems, there is yet the need to evaluate in the long term and large dimension the true potential benefits of wireless vehicular cooperative systems to improve traffic efficiency. To this aim, iTETRIS is devoted to the development of advanced tools coupling traffic and wireless communication simulators

    [Report of] Specialist Committee V.4: ocean, wind and wave energy utilization

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    The committee's mandate was :Concern for structural design of ocean energy utilization devices, such as offshore wind turbines, support structures and fixed or floating wave and tidal energy converters. Attention shall be given to the interaction between the load and the structural response and shall include due consideration of the stochastic nature of the waves, current and wind

    BRAHMS: Novel middleware for integrated systems computation

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    Biological computational modellers are becoming increasingly interested in building large, eclectic models, including components on many different computational substrates, both biological and non-biological. At the same time, the rise of the philosophy of embodied modelling is generating a need to deploy biological models as controllers for robots in real-world environments. Finally, robotics engineers are beginning to find value in seconding biomimetic control strategies for use on practical robots. Together with the ubiquitous desire to make good on past software development effort, these trends are throwing up new challenges of intellectual and technological integration (for example across scales, across disciplines, and even across time) - challenges that are unmet by existing software frameworks. Here, we outline these challenges in detail, and go on to describe a newly developed software framework, BRAHMS. that meets them. BRAHMS is a tool for integrating computational process modules into a viable, computable system: its generality and flexibility facilitate integration across barriers, such as those described above, in a coherent and effective way. We go on to describe several cases where BRAHMS has been successfully deployed in practical situations. We also show excellent performance in comparison with a monolithic development approach. Additional benefits of developing in the framework include source code self-documentation, automatic coarse-grained parallelisation, cross-language integration, data logging, performance monitoring, and will include dynamic load-balancing and 'pause and continue' execution. BRAHMS is built on the nascent, and similarly general purpose, model markup language, SystemML. This will, in future, also facilitate repeatability and accountability (same answers ten years from now), transparent automatic software distribution, and interfacing with other SystemML tools. (C) 2009 Elsevier Ltd. All rights reserved

    mFish Alpha Pilot: Building a Roadmap for Effective Mobile Technology to Sustain Fisheries and Improve Fisher Livelihoods.

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    In June 2014 at the Our Ocean Conference in Washington, DC, United States Secretary of State John Kerry announced the ambitious goal of ending overfishing by 2020. To support that goal, the Secretary's Office of Global Partnerships launched mFish, a public-private partnership to harness the power of mobile technology to improve fisher livelihoods and increase the sustainability of fisheries around the world. The US Department of State provided a grant to 50in10 to create a pilot of mFish that would allow for the identification of behaviors and incentives that might drive more fishers to adopt novel technology. In May 2015 50in10 and Future of Fish designed a pilot to evaluate how to improve adoption of a new mobile technology platform aimed at improving fisheries data capture and fisher livelihoods. Full report
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