Search PubMed⌕ Search

PubMed · 6739787

A computer-based gastrointestinal information management system.

Abstract

A clinical data base system was developed that integrates gastrointestinal radiologic examinations, endoscopic studies, and pathologic diagnoses. An interrogative language is used, so that data input occurs by response to a series of relevant questions and answers that are constructed by the clinical staff without programmer support. Data are stored in a hierarchical, natural-language (noncoded) format, making them easily understandable by all clinical groups. Since the computer system is interactive, there are on-line capabilities for data input at various times as well as for instantaneous retrieval of all data on a given patient. Retrieval (search) of data uses Boolean logic, allowing for intercorrelative studies among radiology, endoscopy, and pathology. Data can then be isolated in files in which the computer can generate demographic and statistical data by use of a series of programs. Both data search and analysis can be accomplished without programming knowledge. Not only are research functions served by the system, but educational functions such as preparation of conferences and lectures, professional quality assurance, and resident teaching through follow-up and missed-case review can be performed.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

P J Feczko, L V Ackerman, R D Halpert, S M Simms. 1984. A computer-based gastrointestinal information management system.. https://doi.org/10.1148/radiology.152.2.6739787

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

KEEP EXPLORING

Related citations

Evaluation of sites for the location of WEEE recycling plants in Spain.

As a consequence of new European legal regulations for treatment of waste electrical and electronic equipment (WEEE), recycling plants have to be installed in Spain. In this context, this contribution describes a method for ranking of Spanish municipalities according to their appropriateness for the installation of these plants. In order to rank the alternatives, the discrete multi-criteria decision method PROMETHEE (Preference Ranking Organisation METHod for Enrichment Evaluations), combined with a surveys of experts, is applied. As existing plants are located in North and East Spain, a significant concentration of top ranking municipalities can be observed in South and Central Spain. The method does not present an optimal structure of the future recycling system, but provides a selection of good alternatives for potential locations of recycling plants.

Computers↗

Overview of informatics for high content screening.

With the growing use of high content screening (HCS) and analysis in drug discovery and systems biology, informatics has come to the forefront as a critical technology to effectively utilize the massive volumes of high content data and images being generated. Informatics technologies are required to transform HCS data and images into useful information and then into knowledge to drive decision making in an efficient and cost effective manner. In this chapter, we provide an overview of informatics tools and technologies for HCS, discuss some of the challenges of harnessing the huge and growing volumes of HCS data, and provide insight to help toward implementing or selecting, and utilizing a high content informatics solution to meet your organization's needs.

Computers↗