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At least 1,081 records · Page 60Linked to original sources
PubMed2005

Efficient heterogeneous execution of Monte Carlo shielding calculations on a Beowulf cluster.

Recent work has been done in using a high-performance 'Beowulf' cluster computer system for the efficient distribution of Monte Carlo shielding calculations. This has enabled the rapid solution of complex shielding problems at low cost and with greater modularity and scalability than traditional platforms. The work has shown that a simple approach to distributing the workload is as efficient as using more traditional techniques such as PVM (Parallel Virtual Machine). In addition, when used in an operational setting this technique is fairer with the use of resources than traditional methods, in that it does not tie up a single computing resource but instead shares the capacity with other tasks. These developments in computing technology have enabled shielding problems to be solved that would have taken an unacceptably long time to run on traditional platforms. This paper discusses the BNFL Beowulf cluster and a number of tests that have recently been run to demonstrate the efficiency of the asynchronous technique in running the MCBEND program. The BNFL Beowulf currently consists of 84 standard PCs running RedHat Linux. Current performance of the machine has been estimated to be between 40 and 100 Gflop s(-1). When the whole system is employed on one problem up to four million particles can be tracked per second. There are plans to review its size in line with future business needs.

Computer Communication Networks↗
PubMed2006

On the use of DICOM cine header information for optimisation: results from the 2002 European DIMOND cardiology survey.

The paper explores the level of information contained within the DICOM header in images from various cardiology systems. Data were obtained in the European DIMOND survey on image quality (Italy, Ireland, Belgium, Greece and Spain). Images from five standard diagnostic cardiology procedures carried out in six European hospitals have been analysed. DICOM header information was extracted to a database in order to analyse how it could help in the optimisation of the procedures. The level of data contained in the headers differs widely between cardiology systems. None of the X-ray systems in the 2002 survey archives the dosimetric data in the DICOM header. The mean number of runs per procedure ranges between 7.5 and 15.4 and the mean number of frames per procedure between 575 and 1417. Differences in kVp, mA, pulse time, distances and C-arm angulations are substantial and suggest that there exists a wide range for optimisation.

Cardiology↗
PubMed2001

A preliminary report of the virtual craniofacial center: development of Internet-/Intranet-based care coordination of pediatric craniofacial patients.

The authors present preliminary information regarding the development of an Internet-based Virtual Craniofacial Center that provides access to a patient database with visual and textual data. Patients are photographed by digital camera with standardized images. Through a Web site linked to a remote database, patient demographics, management data, reports, and acquired digital photographic images are stored and retrieved. The database can be used to sort and to present data as desired by multiple specialists. Confidentiality is maintained by unique identification numbers and password access to the server for craniofacial team members. The current system uses economical equipment (i.e., digital camera, personal computer with modem, and access to a remote Windows NT-based server), using data that can be entered in a variety of cross-platform personal computer systems and transmitted on a wide range of bandwidths-from a relatively low-bandwidth (28.8 KB per second) modem to a high-speed T-3 line connection. Long-term goals include archival data storage and analysis, as well as the development of multicenter telemedicine links for active craniofacial centers.

Child↗
PubMed1989

Evaluation of routine telephone transmission of nuclear medicine studies.

Rapid and reliable transmission of nuclear medicine studies using conventional telephone lines and commercially available modems and computer systems has been accomplished through use of software developed within the authors' hospital. Original digital images of all-night and weekend studies, acquired on any of the acquisition computers from different manufacturers, are now routinely sent for remote reading at the physician's home. Data, software, and letters are routinely exchanged using modems and standard telephone lines with a sister institution in Haifa, Israel. The software has been designed to achieve no loss data compression and minimal turnaround time loss. Thus, an average lung perfusion image or gallbladder study requires about 1-3 minutes of transmission time. Full analysis and display software is available on the remote computer.

Computer Communication Networks↗
PubMed1998

Surmounting health information network barriers: the greater Dayton area experience.

The greater Dayton area has begun building the nation's first advanced technology community network for sharing patient medical information among independent hospitals. Its success in doing so has resulted from the surmounting of numerous business and technical barriers. Others planning to develop such networks can learn from the Dayton experience.

Community Networks↗
PubMed2001

Interorganizational health care systems implementations: an exploratory study of early electronic commerce initiatives.

Changing business practices, customers needs, and market dynamics have driven many organizations to implement interorganizational systems (IOSs). IOSs have been successfully implemented in the banking, cotton, airline, and consumer-goods industries, and recently attention has turned to the health care industry. This article describes an exploratory study of health care IOS implementations based on the voluntary community health information network (CHIN) model.

Commerce↗
PubMed1997

The Internet. Part-II. A home care nursing clinical resource.

Part I of this series discussed the many features of the internet and how to access this powerful tool. This article will focus on using the Internet's World Wide Web (WWW) as a home care nursing reference and way to access nursing, health-care, and home care knowledge. This article will also describe a few WWW sites that provide nursing and home care information for the practitioner and informational sites for families and caregivers.

Community Health Nursing↗
PubMed1996

The Iowa CHMIS (Community Health Management Information System): work in progress.

The Iowa Community Health Management Information System (CHMIS) is a legislatively authorized system that is designed to meet Iowa's shared information needs and reduce administrative costs. A public/private partnership has been planning this system for over three years, implementation is scheduled to begin in July 1996. At that time, certified transaction networks will route claims data between providers and payors, a subset of that data will be stored by a centralized data repository. As the system evolves, provider access will be expanded and additional data elements will be captured.

Community Networks↗
PubMedDate not supplied

Medical computing over the World Wide Web: use of forms and CGI scripts for constructing medical algorithm Web pages.

The development of the World Wide Web has led to an explosion of educational and clinical resources available via the Internet with minimal effort or special training. However, most of these Web pages contain only static information; few offer dynamic information shaped around clinical or laboratory test findings. In this report we show how this goal can be achieved with the design and construction of Medical Algorithm Web Pages (MAWP). Specifically, using Internet technologies known as forms and CGI scripts we demonstrate how one can implement medical algorithms remotely over the Internet's World Wide Web. To use a MAWP, one enters the URL for the site and then enters information according to the instructions presented there, usually by entering numbers and other information into fields displayed on screen. When all the data is entered, the user clicks on the SUBMIT icon, resulting in a new Web page being constructed "on-the-fly" containing diagnostic calculations and other information pertinent to the patient's clinical management. Four sample applications are presented in detail to illustrate the concept of a Medical Algorithm Web page: Computation of the alveolar-arterial oxygen tension difference using the alveolar gas equation; Computation of renal creatinine clearance; drug infusion calculation (micrograms/kilogram/minute); Computation of the renal failure index.

Algorithms↗