Search PubMed⌕ Search

PubMed · 3623043

[Obstetric-perinatologic data collection using a personal computer].

Abstract

A concept covering the collecting and processing of obstetrical and perinatological data is described. Collecting of patient data is effected on the basis of a case history that has been drawn up in an EDP-adequate manner, which, however, can also be used in the conventional way. This procedure was chosen because for some time to come one cannot do without a document for handwritten notes to avoid duplication of work by "double tracking" and to eliminate transmission errors, and also to continue the present procedure of dealing with the patient. A commercial data base system was chosen for data collection and storage (dBase III by Ashton Tate). This relational data base has its own programming language with very powerful macro calls. Data input is effected by means of programme masks which the user can solicit via menu monitoring. The requisite hardware configuration consists of a computer with a main storage comprising 640 KB, system MS-DOS, and a hard disk of at least 20 MB. This data collection system operates in an obstetric hospital with annually more than 1,600 births and more than 1,200 entries during early pregnancy, to the satisfaction of the users. Besides compiling the usual statistical analyses and formulating research problems, the system automatically prepares the discharge reports. This rationalisation procedure compels the user to collect the data with care and also completely. On the whole, such a data collection system offers to hospitals of any size quick and easy access to data at any time, as well as optimised patient care, without additional effort and at a reasonable cost level.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

H Baumann, R Huch, A Huch. 1987. [Obstetric-perinatologic data collection using a personal computer].. https://doi.org/10.1055/s-2008-1036144

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↗