Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 10736639

Structural data elements--standardized terms and definitions.

S C Beyea
View original source ↗Export metadata ↓

Abstract

Perioperative nurses must have an organized approach to collect, organize, classify, and capture clinical nursing data to communicate nursing practice. Standardized nursing language provides a systematic method of collecting basic elements of perioperative nursing care. This article examines how structural elements were developed and validated for this standardized language.

Explore related subjects

Databases as TopicHumansLanguagePerioperative NursingReproducibility of ResultsTerminology as TopicUnited StatesJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

S C Beyea. 2000. Structural data elements--standardized terms and definitions.. https://doi.org/10.1016/s0001-2092(06)61576-7

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2001

The IOMC organisations: a source of chemical safety information.

The Inter-Organisation Programme for the Sound Management of Chemicals (IOMC) was established in 1995 as a mechanism to co-ordinate the efforts of Inter-governmental Organisations in promoting the sound management of chemicals. The seven participating organisations are the United Nations Environment Programme (UNEP), the International Labour Organisation (ILO), the United Nations Food and Agriculture Organisation (FAO), the World Health Organisation (WHO), the United Nations Industrial Development Organisation (UNIDO), the United Nations Institute for Training and Research (UNITAR), and the Organisation of Economic Cooperation and Development (OECD). Members consult on the planning, programming, implementation and monitoring of activities undertaken jointly or individually, and help ensure that programmes are mutually supportive, complementary and avoid duplication of efforts, thus meeting the overall needs of the users more efficiently and effectively. To deal with technical work, the IOMC established smaller thematic groups in the main programme areas of Agenda 21's Chapter 19. One such group promotes information exchange work. Within this IOMC framework, the seven organisations have developed approaches and products to help customers find chemical safety information, as well as improving modalities of access to these data. These mechanisms come in addition to and complement the extensive information products and databases developed and provided by the individual organisations. This article presents an overview of the role of each organisation, an introduction to its electronic information products and tools, and a discussion of the products of this joint effort.

Databases as Topic↗
PubMed2001

Low-density lipoprotein receptor gene (LDLR) world-wide website in familial hypercholesterolaemia: update, new features and mutation analysis.

Mutations in the low density lipoprotein receptor gene (LDLR) cause familial hypercholesterolaemia (FH). The FH website (http://www.ucl. ac.uk/fh) has been updated to provide various functions enabling the analysis of the large number of LDLR mutations. To date, 683 LDLR mutations have been reported; of these 58.9% are missense mutations, 21.1% minor rearrangements, 13.5% major rearrangements and 6.6% splice site mutations. Of the 402 missense mutations, only 11.4% occurred at CpG sites. The majority of mutations were found in two functional domains, the ligand binding domain (42%) and the epidermal growth factor (EGF) precursor-like domain (47%). This report describes new features of the FH website and assesses the spectrum of mutations reported to date.

Databases as Topic↗
PubMed2000

Comparison of the Escherichia coli K-12 genome with sampled genomes of a Klebsiella pneumoniae and three salmonella enterica serovars, Typhimurium, Typhi and Paratyphi.

The Escherichia coli K-12 genome (ECO) was compared with the sampled genomes of the sibling species Salmonella enterica serovars Typhimurium, Typhi and Paratyphi A (collectively referred to as SAL) and the genome of the close outgroup Klebsiella pneumoniae (KPN). There are at least 160 locations where sequences of >400 bp are absent from ECO but present in the genomes of all three SAL and 394 locations where sequences are present in ECO but close homologs are absent in all SAL genomes. The 394 sequences in ECO that do not occur in SAL contain 1350 (30.6%) of the 4405 ECO genes. Of these, 1165 are missing from both SAL and KPN. Most of the 1165 genes are concentrated within 28 regions of 10-40 kb, which consist almost exclusively of such genes. Among these regions were six that included previously identified cryptic phage. A hypothetical ancestral state of genomic regions that differ between ECO and SAL can be inferred in some cases by reference to the genome structure in KPN and the more distant relative Yersinia pestis. However, many changes between ECO and SAL are concentrated in regions where all four genera have a different structure. The rate of gene insertion and deletion is sufficiently high in these regions that the ancestral state of the ECO/SAL lineage cannot be inferred from the present data. The sequencing of other closely related genomes, such as S.bongori or Citrobacter, may help in this regard.

Databases as Topic↗