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At least 199 records · Page 11Linked to original sources

PubMed2002

Evidence-based radiology: requirements for electronic access.

RATIONALE AND OBJECTIVES: The purpose of this study was to determine the electronic requirements for supporting evidence-based radiology in today's medical environment. MATERIALS AND METHODS: A software engineering technique, use case modeling, was performed for several clinical settings to determine the use of imaging and its role in evidence-based practice, with particular attention to issues relating to data access and the usage of clinical information. From this basic understanding, the analysis was extended to encompass evidence-based radiologic research and teaching. RESULTS: The analysis showed that a system supporting evidence-based radiology must (a) provide a single point of access to multiple clinical data sources so that patient data can be readily used and incorporated into comprehensive radiologic consults and (b) provide quick access to external evidence in the way of similar patient cases and published medical literature, thus supporting evidence-based practice. CONCLUSION: Information infrastructures that aim to support evidence-based radiology not only must address issues related to the integration of clinical data from heterogeneous databases, but must facilitate access and filtering of patient data in order to improve radiologic consultation.

Evidence-Based Medicine↗

PubMed2003

Comprehensive graphic-based display of clinical pathology laboratory data.

In this age of ever-increasing demands for and uses of patient data, technologic advancements in the form of electronic patient records permit improved data access and prompt retrieval of higher quality patient care data, with more versatility in display, facilitating the integration of information concerning patients over time and between settings of care, which is in turn more accessible for use by practitioners and provides more efficient and effective decision support in areas of patient care. The graphic display of laboratory data is central to the evolving computerized patient record and needs to be taken into careful consideration along with clinician perception and ease of data interpretation in redesigning the graphic reporting of numeric clinical pathology laboratory data. An ideal system should generate user-friendly, graphic-based comprehensive reports highlighting abnormalities with trends for diagnosis, clinical management, and risk-factor detection.

Clinical Chemistry Tests↗

PubMed1980

A program for sampling, assessment of stationarity and variability analysis of neuronal spike trains, run under control of a time-sharing system.

A system has been developed for off-line analysis of discharge characteristics of continuously firing nerve cells. The programs, which are mainly written in FORTRAN IV, determine mean firing rates, variability and other parameters of the impulse activity, and construct interspike interval histograms. They are run under time-sharing on a small laboratory computer. To disclose possible non-stationarities in the data all interspike interval samples are analysed with the non-parametric Kolmogorov-Smirnov test. This test is very powerful in detecting any differences between two samples and is still very easy to implement in programming. Raw data and computed statistics are stored in random access data files.

Computers↗

PubMed2026

National Antimicrobial Resistance Monitoring System: Three Decades of Advancing Public Health Through Integrated Surveillance of Antimicrobial Resistance.

Antimicrobial resistance (AMR) occurs when bacteria and other microorganisms adapt in ways that make medicines less effective, causing infections that are harder to treat and more likely to spread. According to the Centers for Disease Control and Prevention (CDC), AMR infections affect millions of Americans each year and contribute to thousands of deaths (CDC, 2019). After three decades of operation, the U.S. National Antimicrobial Resistance Monitoring System (NARMS) stands as a model of sustained, collaborative public health surveillance. What began in 1996 as an effort to track resistance in Salmonella and E. coli O157 has evolved into a One Health surveillance network monitoring AMR across the farm-to-fork continuum. Through a partnership among CDC, the Food and Drug Administration (FDA), the U.S. Department of Agriculture (USDA), state and local health departments, and universities, NARMS has become the backbone of foodborne AMR surveillance in the United States. The past decade has been particularly transformative. NARMS explored new sampling to include companion animals, minor livestock, aquaculture, surface water, and wildlife. Whole-genome sequencing (WGS) revolutionized the program's capabilities, enabling timely identification of emerging pathogens and revealing how resistance genes spread. Near real-time public dashboards make NARMS data accessible to researchers, clinicians, regulators, and policymakers. NARMS data shape decisions about new animal drug approvals, guide stewardship programs, and inform clinical treatment guidelines nationwide. As NARMS enters its fourth decade with a 2026-2030 strategic plan, the program will leverage artificial intelligence and metagenomics while expanding surveillance to fill remaining gaps ensuring this vital system continues to protect the food supply and both human and animal health from AMR.

Antimicrobial Resistance (AMR)↗

PubMedDate not supplied

An efficient implementation of a drug candidate database.

The recent advances in laboratory technologies have resulted in a wealth of chemical and biological data. The rapid proliferation of a vast amount of data has led to a set of cheminformatics and bioinformatics applications that manipulate dynamic, heterogeneous, and massive data. An example of such application in the pharmaceutical industry is the computational process involved in the early discovery of lead drug candidates for a given target disease. In this paper, an efficient implementation of a drug candidate database is presented and evaluated. This study shows that high performance data access can be achieved through proper choices of data representation, database schema design, and parallel processing techniques.

Computational Biology↗

PubMed1985

From micro to mainframe. A practical approach to perinatal data processing.

A new, practical approach to perinatal data processing for a large obstetric population is described. This was done with a microcomputer for data entry and a mainframe computer for data reduction. The Screen Oriented Data Access (SODA) program was used to generate the data entry form and to input data into the Apple II Plus computer. Data were stored on diskettes and transmitted through a modern and telephone line to the IBM 370/168 computer. The Statistical Analysis System (SAS) program was used for statistical analyses and report generations. This approach was found to be most practical, flexible, and economical.

Computers↗

PubMed2005

An intelligent remote monitoring system for artificial heart.

A web-based database system for intelligent remote monitoring of an artificial heart has been developed. It is important for patients with an artificial heart implant to be discharged from the hospital after an appropriate stabilization period for better recovery and quality of life. Reliable continuous remote monitoring systems for these patients with life support devices are gaining practical meaning. The authors have developed a remote monitoring system for this purpose that consists of a portable/desktop monitoring terminal, a database for continuous recording of patient and device status, a web-based data access system with which clinicians can access real-time patient and device status data and past history data, and an intelligent diagnosis algorithm module that noninvasively estimates blood pump output and makes automatic classification of the device status. The system has been tested with data generation emulators installed on remote sites for simulation study, and in two cases of animal experiments conducted at remote facilities. The system showed acceptable functionality and reliability. The intelligence algorithm also showed acceptable practicality in an application to animal experiment data.

Decision Support Systems, Clinical↗

PubMedDate not supplied

Dictionary-based medical image I/O.

A general-purpose image I/O library is presented, whose properties derive from externally defined data dictionaries. The library has primarily been developed for image I/O in a medical image processing environment. It hence addresses all issues found in this field such as a variety of pixel types, architecture independence, automatic type conversion, and an unlimited number of image parameters. The data access routines in the library automatically convert the data types when needed. By redefining the data dictionaries, the I/O library can be tuned for other application areas. Explicit support for image compression is provided. The library is written in C++, and is available for interested parties.

Data Collection↗

PubMed2001

Challenges faced by e-healthcare comparative data warehouses.

More and more healthcare facilities are equipping themselves with DSS systems and looking at their own data in a benchmarking manner. Some are considering accessing data from other healthcare facilities to decrease costs while improving quality of care. Many vendors claim to have that information. Some redistribute publicly available data; others actively seek information from a multitude of facilities. Those vendors are faced with many challenges as they try to provide information that is meaningful and usable for their clients. This article explores some of these challenges, particularly the data and technical challenges. It addresses the issues of standardizing data, as well as the technology to manage and secure that information, and provides examples that illustrate solutions that some vendors have implemented.

Benchmarking↗

PubMed1992

[Management of personal health examination data for a population by use of a portable computer].

A new system was developed for processing annual personal health examination data with a portable microcomputer utilizing commercial software by converting the IBM formatted data file of the law mandated health examination for adults into an MS-DOS file. The sequential data file was further transferred into a random access data file by a simple program and software was developed for the presentation of annual personal data by table and graphs. Printout of data and selected comments filed on disc by the public health nurse or physician could become retrievable. This system is easily operated by a beginner in micro-computers from conversion of the original data to actual demonstration. This system was utilized for a small village of about 700 adults. By using part of the main memory as a RAM disc, presentation of 5 years' data was possible. File capacity was dependent on population size and also on the type of software for Japanese language input. In the case of a larger population, use of hard disc or expansion of memory may be recommended to shorten computer start-up time. Once necessary data has been placed into the field buffer's memory, retrieval of data requires less than one second. The results of health examination were usually provided by hard copies to village. But by use of this system, a more effective transfer of data between computerized systems by using a floppy disc is possible.

Humans↗

PubMed1995

Data sharing in nursing research: advantages and challenges.

The sharing of data between investigators has received little attention in the nursing literature. Among other advantages, data sharing reinforces open scientific inquiry, encourages the development of multiple perspectives, and reduces respondent burden. However, ownership and control of the shared data, preservation of respondents' anonymity, and the costs of data sharing are among the issues that need to be addressed in agreements and contracts involving primary investigators, secondary investigators, and data repositories. The original researcher must spend time and energy to make data sharing possible. It is only when such efforts are acknowledged and rewarded that data sharing is likely to become a norm in the nursing profession. The authors argue that research data should be shared and nurse researchers should seek to have data from all publicly funded projects deposited in accessible data repositories. Nurse researchers need to incorporate plans for data sharing into their research programs and press for the infrastructures required to enable data sharing.

Authorship↗

PubMed2026

ChemGenXplore: an interactive tool for exploring and analysing chemical genomic data.

MOTIVATION: Chemical genomics is a powerful high-throughput approach to systematically link phenotypes to genotypes. However, the vast datasets generated remain challenging to explore due to the lack of integrated, interactive tools for visualization and analysis. Existing workflows often require multiple independent software tools, limiting data accessibility and collaboration. Therefore, we created a user-friendly platform that enables efficient exploration and sharing of chemical genomics data. RESULTS: We developed ChemGenXplore, a web-based Shiny application designed to streamline the visualization and analysis of chemical genomic screens. It offers two primary functionalities: one for exploring pre-implemented datasets and another for analysing user-uploaded datasets. ChemGenXplore enables users to visualize phenotypic profiles, assess gene-gene and condition-condition correlations, perform GO and KEGG enrichment analysis, and generate customizable, interactive heatmaps. To further support collaborative research, ChemGenXplore also facilitates the comparative analysis of chemical genomic and other omics datasets. By consolidating these features into a single interactive and accessible tool, ChemGenXplore facilitates data sharing, enhances reproducibility, and promotes collaboration within the research community. AVAILABILITY AND IMPLEMENTATION: ChemGenXplore is freely accessible as a web application at https://chemgenxplore.kaust.edu.sa/. Source code and documentation, including instructions for local installation, are provided on GitHub (https://github.com/Hudaahmadd/ChemGenXplore). A Docker image is also available on DockerHub (https://hub.docker.com/r/hudaahmad/chemgenxplore) to ensure reproducibility and simplify installation.

Software↗

PubMed2005

The bioinformatics resource for oral pathogens.

Complete genomic sequences of several oral pathogens have been deciphered and multiple sources of independently annotated data are available for the same genomes. Different gene identification schemes and functional annotation methods used in these databases present a challenge for cross-referencing and the efficient use of the data. The Bioinformatics Resource for Oral Pathogens (BROP) aims to integrate bioinformatics data from multiple sources for easy comparison, analysis and data-mining through specially designed software interfaces. Currently, databases and tools provided by BROP include: (i) a graphical genome viewer (Genome Viewer) that allows side-by-side visual comparison of independently annotated datasets for the same genome; (ii) a pipeline of automatic data-mining algorithms to keep the genome annotation always up-to-date; (iii) comparative genomic tools such as Genome-wide ORF Alignment (GOAL); and (iv) the Oral Pathogen Microarray Database. BROP can also handle unfinished genomic sequences and provides secure yet flexible control over data access. The concept of providing an integrated source of genomic data, as well as the data-mining model used in BROP can be applied to other organisms. BROP can be publicly accessed at http://www.brop.org.

Bacteria↗

PubMed2006

National diet and nutrition surveys: the British experience.

OBJECTIVE: The National Diet and Nutrition Surveys (NDNS) are a series of government-funded surveys of food intake, nutrient intake and nutritional status of individuals, undertaken to support nutritional policy and risk assessment. This paper summarises a review that considered the extent to which NDNS met the needs of users and suggested options for the future. The Food Standards Agency has since progressed favoured options. This paper aims to help others wishing to obtain this type of information within their own populations. DESIGN: A detailed questionnaire was used to probe use of data and gather opinions from users, producers and managers of the NDNS. It asked about general information needs from NDNS and changes that might be made. This was followed by a two-day workshop which included discussion of the main issues and the generation of 19 possible future options for consideration by the Agency. RESULTS: Options to improve effectiveness included methods to prioritise breadth and depth of coverage and possible ways of improving response and compliance. Strategies to make surveys more efficient and timely, such as adopting a rolling programme, disaggregating survey components, integrating with other studies and improving data access, were also suggested. A rolling programme, in which data are collected continuously, was the favoured option to address some of the concerns and a strategy is now in place to achieve this. CONCLUSIONS: There is widespread support for the NDNS from its users. There is no alternative source for such high-quality data on food and nutrient consumption and nutritional status and physical measurements in the same individuals. Useful information, such as the potential value of using a rolling programme from the outset, can be gained from this British experience by others wishing to measure food and nutrient intakes and status in their own populations.

Diet Surveys↗

PubMed2004

ARB: a software environment for sequence data.

The ARB (from Latin arbor, tree) project was initiated almost 10 years ago. The ARB program package comprises a variety of directly interacting software tools for sequence database maintenance and analysis which are controlled by a common graphical user interface. Although it was initially designed for ribosomal RNA data, it can be used for any nucleic and amino acid sequence data as well. A central database contains processed (aligned) primary structure data. Any additional descriptive data can be stored in database fields assigned to the individual sequences or linked via local or worldwide networks. A phylogenetic tree visualized in the main window can be used for data access and visualization. The package comprises additional tools for data import and export, sequence alignment, primary and secondary structure editing, profile and filter calculation, phylogenetic analyses, specific hybridization probe design and evaluation and other components for data analysis. Currently, the package is used by numerous working groups worldwide.

Data Display↗

PubMedDate not supplied

Evaluation and implementation of public health registries.

A rapid proliferation of registries has occurred during the last 20 years. Given the long-term commitment of resources associated with registries and limited public health funding, proposals for new registries should be carefully considered before being funded. A registry is defined as a data base of identifiable persons containing a clearly defined set of health and demographic data collected for a specific public health purpose. Criteria for evaluating whether a registry is needed, feasible, or the most effective and efficient means of collecting a specific set of health data are presented. They include an evaluation of the stated purpose; a review of the function, duration, and scope of the registry; consideration of existing alternative data sources; an assessment of the practical feasibility of the registry; the likelihood of sufficient start-up and long-term funding; and an evaluation of the cost effectiveness of the registry. Creating a public health registry is a complex process. A range of technical and organizational skills is required for a registry to be successfully implemented. Eight requirements are identified as crucial for the successful development of a new registry. They include an implementation plan, adequate documentation, quality control procedures, case definition and case-finding (ascertainment) procedures, determination of data elements, data collection and processing procedures, data access policy, and a framework for dissemination of registry data and findings.

Evaluation Studies as Topic↗

PubMed1988

Crowd psychology and ideology: a psychoanalytic view of the reciprocal effects of folk philosophies and personal actions.

Folk philosophies are constituted by shared, mostly unconscious systems of rules--in the formal sense of rule theory. In the West, there has been a breakdown in the folk philosophies which define reality for most people. Disruption creates disorganization and regression of fragmented groups to more primitive forms, ruled by magic and authoritarian leaders. Psychoanalysis is a sub-group which can serve as an exemplar for both small and large groups. Freedom from the magical and value-ridden 'realities' of the past poses the danger of licence but the opportunity that more rational systems may emerge. If managed successfully, such systems may help replace an older and no longer viable folk philosophy with forms which are more rational and humane. The essay also considers the new technical means to store and make data accessible. The danger is accumulation of mountains of undigested data, unevaluated and out of context--often misunderstood as 'information'. But the opportunities lie in the possibilities to develop new epistemologies.

Authoritarianism↗

PubMed2002

The comparative RNA web (CRW) site: an online database of comparative sequence and structure information for ribosomal, intron, and other RNAs.

BACKGROUND: Comparative analysis of RNA sequences is the basis for the detailed and accurate predictions of RNA structure and the determination of phylogenetic relationships for organisms that span the entire phylogenetic tree. Underlying these accomplishments are very large, well-organized, and processed collections of RNA sequences. This data, starting with the sequences organized into a database management system and aligned to reveal their higher-order structure, and patterns of conservation and variation for organisms that span the phylogenetic tree, has been collected and analyzed. This type of information can be fundamental for and have an influence on the study of phylogenetic relationships, RNA structure, and the melding of these two fields. RESULTS: We have prepared a large web site that disseminates our comparative sequence and structure models and data. The four major types of comparative information and systems available for the three ribosomal RNAs (5S, 16S, and 23S rRNA), transfer RNA (tRNA), and two of the catalytic intron RNAs (group I and group II) are: (1) Current Comparative Structure Models; (2) Nucleotide Frequency and Conservation Information; (3) Sequence and Structure Data; and (4) Data Access Systems. CONCLUSIONS: This online RNA sequence and structure information, the result of extensive analysis, interpretation, data collection, and computer program and web development, is accessible at our Comparative RNA Web (CRW) Site http://www.rna.icmb.utexas.edu. In the future, more data and information will be added to these existing categories, new categories will be developed, and additional RNAs will be studied and presented at the CRW Site.

Base Sequence↗