Relevant bibliographies by topics / HealthGrid

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'HealthGrid'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "HealthGrid"

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Blanquer, I., and V. Hernández. "The Grid as a Healthcare Provision Tool." Methods of Information in Medicine 44, no. 02 (2005): 144–48. http://dx.doi.org/10.1055/s-0038-1633935.

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Summary Objectives: This paper presents a survey on HealthGrid technologies, describing the current status of Grid and eHealth and analyzing them in the medium-term future. The objective is to analyze the key points, barriers and driving forces for the take-up of HealthGrids. Methods: The article considers the procedures from other Grid disciplines such as high energy physics or biomolecular engineering and discusses the differences with respect to healthcare. It analyzes the status of the basic technology, the needs of the eHealth environment and the successes of current projects in health and other relevant disciplines. Results: Information and communication technology (ICT) in healthcare is a promising area for the use of the Grid. There are many driving forces that are fostering the application of the secure, pervasive, ubiquitous and transparent access to information and computing resources that Grid technologies can provide. However, there are many barriers that must be solved. Many technical problems that arise in eHealth (standardization of data, federation of databases, content-based knowledge extraction, and management of personal data …) can be solved with Grid technologies. Conclusions: The article presents the development of successful and demonstrative applications as the key for the take-up of HealthGrids, where short-term future medical applications will surely be biocomputing-oriented, and the future of Grid technologies on medical imaging seems promising. Finally, exploitation of HealthGrid is analyzed considering the curve of the adoption of ICT solutions and the definition of business models, which are far more complex than in other e-business technologies such ASP.
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Claerhout, B., and G. J. E. De Moor. "Privacy Protection for HealthGrid Applications." Methods of Information in Medicine 44, no. 02 (2005): 140–43. http://dx.doi.org/10.1055/s-0038-1633934.

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Summary Objectives: This contribution aims at introducing the problem of privacy protection in e-Health and at describing a number of existing privacy enhancing techniques (PETs). The recognition that privacy constitutes a fundamental right is gradually entering public awareness. Because healthcare-related data are susceptible to being abused for many obvious reasons, public apprehension about privacy has focused on medical data. Public authorities have become convinced of the need to enforce privacy protection and make considerable efforts for promoting through privacy protection legislation the deployment of PETs. Methods: Based on the study of the specific features of Grid technology, ways in which PET services could be integrated in the HealthGrid are being analyzed. Grid technology aims at removing barriers between local and remote resources. The privacy and legal issues raised by the HealthGrid are caused by the transparent interchange and processing of sensitive medical information. PET technology has already proven its usefulness for privacy protection in health-related marketing and research data collection. Results: While this paper does not describe market-ready solutions for privacy protection in the HealthGrid, it puts forward several cases in which the Grid may benefit from PETs. Conclusion: Early integration of privacy protection services into the HealthGrid can lead to a synergy that is beneficial for the development of the HealthGrid itself.
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Schmitt, D., J. Kass, M. García-Barbero, P. Kantchev, and C. Bescos. "Interoperability and HealthGRID." Methods of Information in Medicine 44, no. 02 (2005): 190–92. http://dx.doi.org/10.1055/s-0038-1633944.

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Summary Objectives: GRID technology, with initiatives like the GGF, will have the potential to allow both competition and interoperability not only among applications and toolkits, but also among implementations of key services.The pyramid of eHealth interoperability should be achieved from standards in communication and data security, storage and processing, to the policy initiatives, including organizational protocols, financing procedures, and legal framework.The open challenges for GRID use in clinical fields illustrate the potential of the combination of grid technologies with medical routine into a wider inter-operable framework. Methods: The Telemedicine Alliance is a consortium (ESA, WHO and ITU), initiated in 2002, in building a vision for the provision of eHealth to European citizens by 2010. After a survey with more that 50 interviews of experts, interoperability was identified as the main showstopper to eHealth implementation. Results: There are already several groups and organizations contributing to standardization. TM-Alliance is supporting the “e-Health Standardization Coordination Group” (eHSCG). Conclusions: It is now, in the design and development phase of GRID technology in Health, the right moment to act with the aim of achieving an interoperable and open framework. The Health area should benefit from the initiatives started at the GGF in terms of global architecture and services definitions, as well as from the security and other web services applications developed under the Internet umbrella. There is a risk that existing important results of the standardization efforts in this area are not taken up simply because they are not always known.
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Rahmouni, Hanene Boussi, Tony Solomonides, Marco Casassa Mont, and Simon Shiu. "Privacy compliance and enforcement on European healthgrids: an approach through ontology." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1926 (September 13, 2010): 4057–72. http://dx.doi.org/10.1098/rsta.2010.0169.

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The sharing of medical data between different healthcare organizations in Europe must comply with the legislation of the Member State where the data were originally collected. These legal requirements may differ from one state to another. Privacy requirements such as patient consent may be subject to conflicting conditions between different national frameworks as well as between different legal and ethical frameworks within a single Member State. These circumstances have made the compliance management process in European healthgrids very challenging. In this paper, we present an approach to tackle these issues by relying on several technologies in the semantic Web stack. Our work suggests a direct mapping from high-level legislation on privacy and data protection to operational-level privacy-aware controls. Additionally, we suggest an architecture for the enforcement of these controls on access control models adopted in healthgrid security infrastructures.
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Huang, Chun-Hsi, Vincenzo Lanza, Sanguthevar Rajasekaran, and Werner Dubitzky. "HealthGrid – Bridging Life Science and Information Technology." Journal of Clinical Monitoring and Computing 19, no. 4-5 (October 2005): 259–62. http://dx.doi.org/10.1007/s10877-005-0672-3.

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Kissock, Katrina R., Elizabeth P. Neale, and Eleanor J. Beck. "The relevance of whole grain food definitions in estimation of whole grain intake: a secondary analysis of the National Nutrition and Physical Activity Survey 2011–2012." Public Health Nutrition 23, no. 8 (April 3, 2020): 1307–19. http://dx.doi.org/10.1017/s1368980019004452.

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AbstractObjective:To determine the impacts of using a whole grain food definition on measurement of whole grain intake compared with calculation of total grams of intake irrespective of the source.Design:The Australian whole grain database was expanded to identify foods that comply with the Healthgrain whole grain food definition (≥30 % whole grains on a dry weight basis, whole grain ingredients exceeds refined grain and meeting accepted standards for healthy foods based on local regulations). Secondary analysis of the National Nutrition and Physical Activity Survey (NNPAS) 2011–2012 dietary intake data included calculation of whole grain intakes based on intake from foods complying with the Healthgrain definition. These were compared with intake values where grams of whole grain in any food had been included.Setting:Australia.Participants:Australians (≥2 years) who participated in the NNPAS 2011–2012 (n 12 153).Results:Following expansion of the whole grain database, 214 of the 609 foods containing any amount of whole grain were compliant with the Healthgrain definition. Significant mean differences (all P < 0·05) of 2·84–6·25 g/d of whole grain intake (5·91–9·44 g/d energy adjusted) were found when applying the Healthgrain definition in comparison with values from foods containing any whole grain across all age groups.Conclusions:Application of a whole grain food definition has substantial impact on calculations of population whole grain intakes. While use of such definitions may prove beneficial in settings such as whole grain promotion, the underestimation of total intake may impact on identification of any associations between whole grain intake and health outcomes.
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Olive, Mark, Hanene Rahmouni, Tony Solomonides, Vincent Breton, Yannick Legré, Ignacio Blanquer, and Vicente Hernandez. "SHARE road map for HealthGrids: Methodology." International Journal of Medical Informatics 78 (April 2009): S3—S12. http://dx.doi.org/10.1016/j.ijmedinf.2008.10.003.

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Goldberg, Daniel, Ori Gudes, and Yaron Kanza. "HealthGIS 2014 workshop report." SIGSPATIAL Special 6, no. 3 (April 22, 2015): 50–51. http://dx.doi.org/10.1145/2766196.2766207.

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Goldberg, Daniel W., Peter Bak, James L. Horey, and Yaron Kanza. "HealthGIS 2012 workshop report." SIGSPATIAL Special 5, no. 1 (March 2013): 18–19. http://dx.doi.org/10.1145/2505403.2505412.

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Tonning, Joseph M. "International Travel HealthGuide, 1994 Edition." Journal of Occupational and Environmental Medicine 36, no. 12 (December 1994): 1358. http://dx.doi.org/10.1097/00043764-199412000-00020.

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Dissertations / Theses on the topic "HealthGrid"

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Naseer, Aisha. "Grid-based semantic integration of heterogeneous data resources : implementation on a HealthGrid." Thesis, Brunel University, 2007. http://bura.brunel.ac.uk/handle/2438/7899.

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The semantic integration of geographically distributed and heterogeneous data resources still remains a key challenge in Grid infrastructures. Today's mainstream Grid technologies hold the promise to meet this challenge in a systematic manner, making data applications more scalable and manageable. The thesis conducts a thorough investigation of the problem, the state of the art, and the related technologies, and proposes an Architecture for Semantic Integration of Data Sources (ASIDS) addressing the semantic heterogeneity issue. It defines a simple mechanism for the interoperability of heterogeneous data sources in order to extract or discover information regardless of their different semantics. The constituent technologies of this architecture include Globus Toolkit (GT4) and OGSA-DAI (Open Grid Service Architecture Data Integration and Access) alongside other web services technologies such as XML (Extensive Markup Language). To show this, the ASIDS architecture was implemented and tested in a realistic setting by building an exemplar application prototype on a HealthGrid (pilot implementation). The study followed an empirical research methodology and was informed by extensive literature surveys and a critical analysis of the relevant technologies and their synergies. The two literature reviews, together with the analysis of the technology background, have provided a good overview of the current Grid and HealthGrid landscape, produced some valuable taxonomies, explored new paths by integrating technologies, and more importantly illuminated the problem and guided the research process towards a promising solution. Yet the primary contribution of this research is an approach that uses contemporary Grid technologies for integrating heterogeneous data resources that have semantically different. data fields (attributes). It has been practically demonstrated (using a prototype HealthGrid) that discovery in semantically integrated distributed data sources can be feasible by using mainstream Grid technologies, which have been shown to have some Significant advantages over non-Grid based approaches.
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Мельник, Карина Владимировна. "Архитектура медицинской скрининговой информационной системы." Thesis, УНК "ИПСА" НТУУ "КПИ", 2012. http://repository.kpi.kharkov.ua/handle/KhPI-Press/44689.

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Books on the topic "HealthGrid"

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Tony, Solomonides, ed. Healthgrid applications and core technologies: Proceedings of HealthGrid 2010. Amsterdam: IOS Press, 2010.

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Tony, Solomonides, ed. Healthgrid research, innovation, and business case: Proceedings of HealthGrid 2009. Amsterdam: IOS Press, 2009.

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Tony, Solomonides, ed. Global healthgrid: E-Science meets biomedical informatics : proceedings of Healthgrid 2008. Amsterdam: IOS Press, 2008.

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Sandra, Gesing, and IWSG-Life 2012 (2012 : Amsterdam, Netherlands), eds. HealthGrid applications and technologies meet science gateways for life sciences. Amsterdam: IOS Press, 2012.

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(2007), Healthgrid 2007. From genes to personalized healthcare: Grid solutions for the life sciences : proceedings of HealthGrid 2007. Amsterdam: IOS Press, 2007.

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(2007), Healthgrid 2007. From genes to personalized healthcare: Grid solutions for the life sciences : proceedings of HealthGrid 2007. Amsterdam: IOS Press, 2007.

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Kemper, Donald W. Yukon healthguide: Healthwise handbook. Boise, Idaho: Healthwise, Inc., 2005.

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Kemper, Donald W. Yukon healthguide: Healthwise handbook. Edited by Magee Katy E, Schneider Steven L, and Kemper Donald W. Boise, Idaho: Healthwise, Inc., 2005.

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Rose, Stuart R. International travel healthguide, 1990. Northampton, MA: Travel Medicine, 1990.

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India) International Conference on Health GIS (4th 2011 New Delhi. HealthGIS: Managing health geospatially. Edited by Tripathi Nitin Kumar, Joshi P. K. 1975-, Mehmood Hamid, and Tata Energy Research Institute. New Delhi: The Energy and Resources Institute, 2011.

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Book chapters on the topic "HealthGrid"

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Melnik, Karina, Olga Cherednichenko, and Vitaliy Glushko. "Towards Medical Screening Information Technology: The Healthgrid-Based Approach." In Lecture Notes in Business Information Processing, 202–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38370-0_21.

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Eren, P. Erhan, and Ebru Gökalp. "HealthGuide: A Personalized Mobile Patient Guidance System." In Current and Emerging mHealth Technologies, 167–87. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73135-3_11.

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Solomonides, Tony. "Healthgrids, the SHARE Project, Medical Data and Agents: Retrospect and Prospect." In Principles and Practice of Multi-Agent Systems, 523–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25920-3_38.

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Naseer, Aisha, and Lampros K. Stergioulas. "HealthGrids in Health Informatics." In Handbook of Research on Advances in Health Informatics and Electronic Healthcare Applications, 124–43. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-030-1.ch008.

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Healthcare is a vast domain encapsulating not only multiple sub-domains or sub-sectors but also many diverse operations and logistics within each sub-sector. This diversity needs to be handled in a systematic and well-characterized manner in order to maintain consistency of various healthcare tasks. Integration of health information systems within each healthcare sub-sectors is crucial for ubiquitous access and sharing of information. The emerging technology of HealthGrids holds the promise to successfully integrate health information systems and various healthcare entities onto a common, globally shared and easily accessible platform. Many different types of HealthGrids exist but there lacks a taxonomy to classify them into a hierarchical order. This chapter presents a well-characterized taxonomy of different types of HealthGrid and classifies them into four major types, namely BioGrid, MediGrid, PharmaGrid and CareGrid. Each of these HealthGrids possesses dedicated features and functionalities. The proposed taxonomy serves to better understand the realtionship among various HealthGrid types and would lay a basis for future research.
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"Front Matter." In HEALTHGRAIN Methods, i. Elsevier, 2009. http://dx.doi.org/10.1016/b978-1-891127-70-0.50001-7.

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"Copyright." In HEALTHGRAIN Methods, ii. Elsevier, 2009. http://dx.doi.org/10.1016/b978-1-891127-70-0.50002-9.

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Shewry, Peter, and Jane Ward. "PREFACE." In HEALTHGRAIN Methods, iii. Elsevier, 2009. http://dx.doi.org/10.1016/b978-1-891127-70-0.50003-0.

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Poutanen, Kaisa. "CEREAL FOODS IN DIET AND HEALTH." In HEALTHGRAIN Methods, 1–5. Elsevier, 2009. http://dx.doi.org/10.1016/b978-1-891127-70-0.50004-2.

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Nyström, Laura, Tanja Nurmi, Anna-Maija Lampi, and Vieno Piironen. "STEROLS." In HEALTHGRAIN Methods, 7–14. Elsevier, 2009. http://dx.doi.org/10.1016/b978-1-891127-70-0.50005-4.

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Lampi, Anna-Maija, and Vieno Piironen. "TOCOPHEROLS AND TOCOTRIENOLS." In HEALTHGRAIN Methods, 15–23. Elsevier, 2009. http://dx.doi.org/10.1016/b978-1-891127-70-0.50006-6.

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Conference papers on the topic "HealthGrid"

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Naseer, Aisha, and Lampros Stergioulas. "Discovering HealthGrid Services." In 2006 IEEE International Conference on Services Computing (SCC'06). IEEE, 2006. http://dx.doi.org/10.1109/scc.2006.44.

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"SECURING HEALTHGRID ENVIRONMENTS." In International Conference on Security and Cryptography. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002123203940401.

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Solomonides, Tony. "Review of HealthGrid 2008: "Global HealthGrid: eScience meets Biomedical Informatics"." In 2008 21st International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2008. http://dx.doi.org/10.1109/cbms.2008.134.

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Rahmouni, Hanene Boussi, Tony Solomonides, Marco Casassa Mont, and Simon Shiu. "Privacy compliance in european healthgrid domains: An ontology-based approach." In 2009 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2009. http://dx.doi.org/10.1109/cbms.2009.5255423.

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Krefting, D., H. Loose, and T. Penzel. "Employment of a Healthgrid for evaluation and development of polysomnographic biosignal processing methods." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5627443.

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Ure, Jenny, Frank Rakebrandt, Sharon Lloyd, and Ali A. Khanban. "Usability, the tri-wizard challenge: Recurring scenarios in the design of a healthgrid portal." In 2008 Conference on Human System Interactions (HSI). IEEE, 2008. http://dx.doi.org/10.1109/hsi.2008.4581452.

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Poutanen, K. "How to better exploit grains - the HEALTHGRAIN approach." In 13th World Congress of Food Science & Technology. Les Ulis, France: EDP Sciences, 2006. http://dx.doi.org/10.1051/iufost:20061355.

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