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At least 163 records · Page 9Linked to original sources
PubMed1996

[Computerized follow-up cards for ambulatory patients with implanted pacemaker or defibrillator].

The follow up of pacemaker and defibrillator dependent patients has a significant role for both the evaluation of pacing effectiveness and check of hemodynamic advantages about patient's quality of life. The bulky paper archives are often inaccurate, hampering the consultation. At present the paper card is the only document which can be utilized to record some data concerning the implant and patient clinical story. Therefore, there is the necessity for a card that can include all patient's data, and the implant and programming pacemaker/defibrillator data during follow up. This new pacemaker card has portable file or data-base including shared data with safety mechanism, which can be utilized in several controls by different users (physicians, hospital ward, primary care units, insurance companies). The pacemaker card includes a chip that permits to store a considerable amount of data; it can be update in every further medical control, in observance of laws. The card Chip Operating System (C.O.S.) consists of a microchip with a memory completely managed by the operating system inside the chip itself. The card can be read by means of a GCR-200 modem linked with a PC IBM-compatible computer and the data can be updated during the follow up. The pacemaker-defibrillator card will appear immediately on screen, and it can be printed, updated and/or modified by a Microsoft Windows operating programme. With this pacemaker card we are able to ensure serviceable medical work, particularly in terms of cost/benefit ratio giving to patient more and more reasoning and safe service.

Database Management Systems↗
PubMed1989

Continuity of care. Development and implementation of a shared patient data base.

Although the inpatient Oncology Unit, the Medical Oncology Clinic, and Radiation Oncology provided care for many of the same patients, there was no mechanism for sharing nursing information, and little colleague input from one area to another. In order to meet this need, a nurse from each of the clinic areas was added to the inpatient unit's Patient Care Evaluation Committee. Working through this committee, these nurses developed an Inpatient/Outpatient Data Flow Sheet, which could be initiated in any oncology area to implement information flow when a patient was to be seen in a different setting. It proved to be an effective tool. The flow sheet, along with our rationale, was then presented for consideration as a computerized program to be used between the three areas. After careful investigation, it was approved. This provided the oncology areas with the first data storage capability for nursing in the hospital. It offered oncology nurses in distinct and separate areas access to obtain and update information on shared patients. This manuscript will focus on the computer program and the data base designed for the oncology department and its impact on nurses and patients.

Cancer Care Facilities↗
PubMed1996

Improving the temporal resolution of functional MR imaging using keyhole techniques.

Using a keyhole technique, it is shown that the data acquisition rate of gradient-echo imaging for functional MRI (fMRI) studies can be increased substantially. The resulting enhancement of the temporal resolution of fMRIs was accomplished without modifying the hardware of a conventional MRI system. High spatial resolution fMRI images were first collected with conventional full k-space acquisition and image reconstruction. Using the same data set, simulation reconstruction using the keyhole principle and zero-padding were performed for comparison with the full k-space reconstruction. No significant changes were found for fMRI images generated from the keyhole technique with a data sharing profile of 50% of the k-space. As k-space data sharing profiles increased to 75 and 87.5%, the keyhole fMRI images began to show only modest changes in activation intensity and area compared with the standard images. In contrast, zero-padding fMRI images produced a significant disparity both in activation intensity and area relative to the truly high-resolution fMRI images. The keyhole technique's ability to retain the intensity and area of fMRI information, while substantially reducing acquisition time, makes it a promising method for fMRI studies.

Adult↗
PubMed2001

Alaska's model program for occupational injury prevention: applying surveillance for effective public health practice.

BACKGROUND: NIOSH established its Alaska Field Station in Anchorage, Alaska, in 1991, after identifying Alaska as America's highest-risk state for traumatic worker fatalities. Since then, NIOSH established comprehensive occupational injury surveillance in Alaska, and formed and facilitated interagency working groups (of state and federal agencies) and industry, labor, and professional organizations to address major factors leading to occupational death and injury in the state. STUDY DESIGN: Descriptive epidemiologic study of registry surveillance data obtained via direct on-site investigation of incidents and data-sharing with jurisdictional agencies. METHODS: We established a surveillance system, obtaining information via data-sharing with jurisdictional agencies and from direct on-site investigation of incidents. Also, we collaborate with state and regional government agencies, industry, workers, and non-governmental organizations to develop interventions. RESULTS: During 1991-1999, Alaska experienced a 50-percent overall decline in work-related deaths, including a substantial decline in commercial fishing deaths, and a very sharp decline in helicopter logging-related deaths. These efforts have lead to major national and international government-industry collaborative efforts in improving the safety of helicopter lift operations, and a concomitant improvement in fishing industry mortality rates among workers fishing Alaskan seas. CONCLUSIONS: Using surveillance data as information for action, these collaborative efforts have contributed to reducing Alaska's high occupational fatality rate. This reduction has been most clearly demonstrated in the rapidly expanding helicopter logging industry. The application of surveillance data also has played an important supportive role in the substantial progress made in reducing the mortality rate in Alaska's commercial fishing industry--historically, Alaska's (and America's) most dangerous industry, and the worst killer of Alaskan workers. Results suggest that extending Alaska's approach to occupational injury surveillance and prevention to other parts of the country, and application of these strategies to the entire spectrum of occupational injury hazards, could have a broad impact on reducing occupational injuries.

Accidents, Occupational↗
PubMed2004

Studies in emergency department data collection: shared versus split responsibility for patient enrollment.

OBJECTIVES: To compare patient enrollment in six clinical studies using shared coverage (24 emergency department [ED] rooms-two students share enrollment responsibility) with enrollment using split coverage (12 rooms each per student). The academic associate (AA) program uses undergraduate students to collect data for clinical studies in the ED by providing double coverage 16 hours/day, seven days/week. Prior studies have shown that this system captures >85% of eligible patients. Methods to obtain closer to 100% enrollment are desired. METHODS: During consecutive 15-day periods with the same 24 AAs, the daily ED census, hours of AA coverage, and enrollment in each of six studies were evaluated prospectively in the ED. Data are presented as means with 95% confidence intervals (CIs). RESULTS: There was no difference between the shared and split enrollment periods with respect to hours of AA coverage (30.3 vs. 30.7 hours/day; p = 0.7) or average daily ED census (133.7 vs. 141.8; p = 0.15). Overall, the percentages of ED patients recruited for study participation were not different depending on whether the split versus shared recruitment strategy was used (907 patients recruited out of 2005 ED patients (45.2%; 95% CI = 43.0 to 47.4) vs. 937 of 2127 (44.0%; 95% CI = 41.9 to 46.1). The 95% CI for the 1.2% difference was -1.8% to 4.2%. Patient enrollments in six individual studies were similar regardless of recruitment strategy. Following the 30-day trial, AAs were surveyed: 17 of 24 (71%) found the split strategy to be "more helpful in enrolling subjects," and 20 of 24 (83%) found split strategy helped them "keep better track" of patients. CONCLUSIONS: Study subject enrollment was not affected by the use of either the shared or split responsibility strategy for recruitment. Students generally preferred the split strategy because it was more helpful and easier to monitor. Therefore, this may be the best option for similar student-oriented data collection programs.

Data Collection↗
PubMed2026

Global vaccine readiness: equity-by-design in pandemic preparedness and response.

INTRODUCTION: COVID-19 showed that rapid vaccine development and roll-out, while lifesaving, can still yield large, avoidable harms when equity is not considered from the outset. Disparities in vaccine timing and coverage, especially in low-resource settings, amplified health and economic burdens, highlighting the need for preparedness frameworks that combine speed with fairness. AREAS COVERED: We synthesize evidence from literature and policy reports regarding global vaccine roll-out, focusing on avertable mortality under alternative sharing scenarios, procurement design, pooled mechanisms such as COVAX, and the role of distributed manufacturing and delivery capacity. We also examine how transparent data-sharing, effective public communication, genomic surveillance, adaptive trial designs, and modeling hubs can support more responsive and equitable vaccine deployment. Across six reflection points, we translate these lessons into practical priorities for future pandemic readiness, including strengthening healthcare infrastructure, equitable procurement, data transparency, and safeguarding public health decision-making from political and commercial distortion. EXPERT OPINION: We argue that equity-by-design is essential if vaccine innovation is to deliver equitable public health impact. This requires geographically distributed manufacturing, transparency, equity-conditioned advance purchase agreements, and pre-agreed, epidemiology-triggered allocation of vaccines. We recommend institutionalizing disaggregated reporting, standardized data-sharing, greater pathogen genomic sequencing capacity, and communication strategies that support public health protection while countering misinformation.

Humans↗
PubMedDate not supplied

Systems sophistication through mutual agreement.

While there is ample published material focusing on the concept of shared data processing systems, there has been little documentation of systems actually in use. The experience of the Loma Linda University Medical Center in developing and implementing a shared services system provides evidence that such an arrangement can be successful. Sharing data processing services can provide a level of systems sophistication not attainable by groups individually.

Academic Medical Centers↗
PubMed2005

MAO: a Multiple Alignment Ontology for nucleic acid and protein sequences.

The application of high-throughput techniques such as genomics, proteomics or transcriptomics means that vast amounts of heterogeneous data are now available in the public databases. Bioinformatics is responding to the challenge with new integrated management systems for data collection, validation and analysis. Multiple alignments of genomic and protein sequences provide an ideal environment for the integration of this mass of information. In the context of the sequence family, structural and functional data can be evaluated and propagated from known to unknown sequences. However, effective integration is being hindered by syntactic and semantic differences between the different data resources and the alignment techniques employed. One solution to this problem is the development of an ontology that systematically defines the terms used in a specific domain. Ontologies are used to share data from different resources, to automatically analyse information and to represent domain knowledge for non-experts. Here, we present MAO, a new ontology for multiple alignments of nucleic and protein sequences. MAO is designed to improve interoperation and data sharing between different alignment protocols for the construction of a high quality, reliable multiple alignment in order to facilitate knowledge extraction and the presentation of the most pertinent information to the biologist.

Databases, Genetic↗
PubMed2000

Sharing medication data using the InterCare architecture.

Since June 1998 more than 20 partners from seven European countries are co-operating in the EC funded InterCare project. The primary objective of the InterCare project is to define, specify and implement cross-border products, called services here, that interoperate with one another in order to support shared care. These products should be based on the results of former European projects and must be validated in actual demonstration sites, one of which is located in the Schiedam region in the Netherlands. In this site the InterCare system is applied to medication information which involves integration of systems at the hospital, pharmacy and the general practitioners office. In this setting special attention is paid to security aspects.

Computer Security↗
PubMed2000

USAGE: a web-based approach towards the analysis of SAGE data. Serial Analysis of Gene Expression.

MOTIVATION: SAGE enables the determination of genome-wide mRNA expression profiles. A comprehensive analysis of SAGE data requires software, which integrates (statistical) data analysis methods with a database system. Furthermore, to facilitate data sharing between users, the application should reside on a central server and be accessed via the internet. Since such an application was not available we developed the USAGE package. RESULTS: USAGE is a web-based application that comprises an integrated set of tools, which offers many functions for analysing and comparing SAGE data. Additionally, USAGE includes a statistical method for the planning of new SAGE experiments. USAGE is available in a multi-user environment giving users the option of sharing data. USAGE is interfaced to a relational database to store data and analysis results. The USAGE query editor allows the composition of queries for searching this database. Several database functions have been included which enable the selection and combination of data. USAGE provides the biologist increased functionality and flexibility for analysing SAGE data. AVAILABILITY: USAGE is freely accessible for academic institutions at http://www.cmbi.kun.nl/usage/. The source code of USAGE is freely available for academic institutions on request from the first author.

Databases, Factual↗
PubMed2002

Assessment partnerships between managed care and public health: the Massachusetts experience.

This article explores factors that facilitate or impede data sharing and linkage collaborations between state public health agencies and managed care organizations (MCOs). The exploration is based upon a review of both recent literature and the four years' experience of the Massachusetts Health Assessment Partnership (MHAP). MHAP has undertaken six collaborative data sharing and linkage projects that have involved diverse topics and methods. This article summarizes both exogenous and endogenous factors that have affected MHAP as a successful collaboration and indicates those factors that might be replicated in future collaborations between public health agencies and MCOs in other locations.

Cooperative Behavior↗
PubMedDate not supplied

A trajectory-preserving synchronization method for collaborative visualization.

In the past decade, a lot of research work has been conducted to support collaborative visualization among remote users over the networks, allowing them to visualize and manipulate shared data for problem solving. There are many applications of collaborative visualization, such as oceanography, meteorology and medical science. To facilitate user interaction, a critical system requirement for collaborative visualization is to ensure that remote users will perceive a synchronized view of the shared data. Failing this requirement, the user's ability in performing the desirable collaborative tasks will be affected. In this paper, we propose a synchronization method to support collaborative visualization. It considers how interaction with dynamic objects is perceived by application participants under the existence of network latency, and remedies the motion trajectory of the dynamic objects. It also handles the false positive and false negative collision detection problems. The new method is particularly well designed for handling content changes due to unpredictable user interventions or object collisions. We demonstrate the effectiveness of our method through a number of experiments.

Journal Article↗
PubMedDate not supplied

David Brailer on a private-public health information technology infrastructure. Interview by Susan V. White.

David Brailer, MD PhD, was appointed the first National Health Information Technology Coordinator by the U.S. Department of Health and Human Services Secretary Tommy Thompson on May 6, 2004. As National Coordinator he is to execute President Bush's Executive Order of April 27, 2004, calling for widespread deployment of health information technology (HIT) within 10 years. Dr. Brailer is an authority on clinical data sharing, local health information exchanges, and the use of peer-to-peer technologies in healthcare. He is a leader in the strategy and financing of quality and efficiency in healthcare, with a particular emphasis on HIT and health systems management. Previously, Dr. Brailer was a Senior Fellow at the Health Technology Center in San Francisco, advising a variety of regional and national data-sharing projects and several major corporations about the role of IT in improving the quality of healthcare. Dr. Brailer recently completed 10 years as Chairman and CEO of CareScience, Inc., a provider of care management services and Internet-based solutions that help reduce medical errors and improve physician and hospital-based performance. Dr. Brailer holds doctoral degrees in both medicine and economics. While in medical school, he was a Charles A. Dana Scholar at the University of Pennsylvania School of Medicine and the first recipient of the National Library of Medicine Martin Epstein Award for his work in expert systems. Dr. Brailer was among the first medical students to serve on the Board of Trustees of the American Medical Association.

Diffusion of Innovation↗
PubMed2001

Sharing gene expression data: an array of options.

Sharing of microarray data has many advantages for the scientific and biomedical community, and should be advocated by neuroscience journals. The goals of sharing are manifold, and include improving analysis and confidence in results, and facilitating global comparisons between experiments, while at the same time, not penalizing those who share. The sharing of microarray data poses unique challenges relative to more generic data such as DNA sequences. These challenges are surmountable, and various sharing formats are possible. Centralized non-commercial databases are being developed to facilitate this process.

Animals↗
PubMed2007

Internet-enabled high-resolution brain mapping and virtual microscopy.

Virtual microscopy involves the conversion of histological sections mounted on glass microscope slides to high-resolution digital images. Virtual microscopy offers several advantages over traditional microscopy, including remote viewing and data sharing, annotation, and various forms of data mining. We describe a method utilizing virtual microscopy for generation of internet-enabled, high-resolution brain maps and atlases. Virtual microscopy-based digital brain atlases have resolutions approaching 100,000 dpi, which exceeds by three or more orders of magnitude resolutions obtainable in conventional print atlases, MRI, and flat-bed scanning. Virtual microscopy-based digital brain atlases are superior to conventional print atlases in five respects: (1) resolution, (2) annotation, (3) interaction, (4) data integration, and (5) data mining. Implementation of virtual microscopy-based digital brain atlases is located at BrainMaps.org, which is based on more than 10 million megapixels (35 terabytes) of scanned images of serial sections of primate and non-primate brains with a resolution of 0.46 microm/pixel (55,000 dpi). The method can be replicated by labs seeking to increase accessibility and sharing of neuroanatomical data. Online tools offer the possibility of visualizing and exploring completely digitized sections of brains at a sub-neuronal level and can facilitate large-scale connectional tracing, histochemical, and stereological analyses.

Animals↗