Доступ предоставлен для: Guest
Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Long-Term Effects of Medical Implants
SJR: 0.145 SNIP: 0.491 CiteScore™: 0.89

ISSN Печать: 1050-6934
ISSN Онлайн: 1940-4379

Том 30, 2020 Том 29, 2019 Том 28, 2018 Том 27, 2017 Том 26, 2016 Том 25, 2015 Том 24, 2014 Том 23, 2013 Том 22, 2012 Том 21, 2011 Том 20, 2010 Том 19, 2009 Том 18, 2008 Том 17, 2007 Том 16, 2006 Том 15, 2005 Том 14, 2004 Том 13, 2003 Том 12, 2002 Том 11, 2001 Том 10, 2000

Journal of Long-Term Effects of Medical Implants

DOI: 10.1615/JLongTermEffMedImplants.v18.i1.350
37 pages

Abstract Of "Bioethics in a Health Grid"

Chun-Hsi Huang
Computer Science and Engineering, University of Connecticut, Storrs, CT 06269

Краткое описание

The amount of genetic information available to researchers will increase rapidly once it becomes feasible to sequence the DNA of individual organisms; for example, to enable pharmacogenomics, namely, to predict a patient's response to different drugs based on his or her genetic makeup. Terascale computation has become increasingly available and is now commonly used to enable simulations of impressive scale in health-care businesses, due to recent advances of the grid technology. Modern grid technology represents an emerging and expanding instrumentation, computing, information, and storage platform that allows geographically distributed resources, which are under distinct control, to be linked together in a transparent fashion. The power of the grids lays not only in the aggregate computing ability, data storage, and network bandwidth that can readily be brought to bear on a particular problem, but also on its ease of use. After a decade of research effort, grids are moving out of research labs into early adopter production systems, such as the computational grid for computation-intensive applications and the data grid for distributed and optimized storage of large amounts of accessible data, as well as the knowledge grid for intelligent use of the data grid for knowledge creation and tools to all users. The deployment of grid technologies in the health-care sector will inevitably foster the sharing of information from molecular, individual, and on up to population levels. Releasing personal genomic data, even with consent, implies a de facto release of information pertaining to related individuals. Protocols generally agreed on are yet to be worked out. In addition, the uniqueness of the personal genotype often renders anonymity of the information source difficult. Strict regulations need to be devised to keep such information from being abused. Determining liability for medical accidents or errors resulting from the use of a health grid while providing health care to a patient is crucial.

Articles with similar content:

Architecture for low volume AGV controlled FMS
Flexible Automation and Intelligent Manufacturing, 1997:
Proceedings of the Seventh International FAIM Conference, Vol.0, 1997, issue
Fergus G. Maughan, Huw J. Lewis
Journal of Long-Term Effects of Medical Implants, Vol.16, 2006, issue 1
Courtney L. Hazirjian, Robert A. Rubin
Implantable Nano-Neurotechnological Devices: Consideration of Ethical, Legal, and Social Issues and Implications
Journal of Long-Term Effects of Medical Implants, Vol.19, 2009, issue 1
James Giordano, Dennis K. McBride, Rohan Akhouri
Assistive Technologies for Cognitive Disabilities
Critical Reviews™ in Physical and Rehabilitation Medicine, Vol.17, 2005, issue 3
Maria Schulthesis, Marcia J. Scherer, Ned Kirsch, Tessa Hart
Abstract of "An Ethical Analysis of Emerging Models of Consent for Genomics and Biobanking"
Journal of Long-Term Effects of Medical Implants, Vol.18, 2008, issue 1
Kerry Bowman, Maxwell J. Smith