Search PubMed⌕ Search

PubMed · 1728024

Comprehensive computerized neonatal intensive care unit data system including real-time, computer-generated daily progress notes.

Abstract

A neonatal intensive care unit patient data system, NeoData, which was developed using microcomputers connected by a local area network, is described. The system allows for real-time generation of daily progress notes, as well as admission and discharge summaries. It includes two databases: one for daily patient data and one for admission/discharge summary data. Both sets of data are easily accessible for later analysis and report generation. The daily patient data are entered directly into a computer by the neonatal intensive care unit medical and nurse practitioner staff; a progress note is printed immediately thereafter for inclusion in the patient's chart. Data from the previous day are selectively carried forward into the current day's note, minimizing data entry. Several benefits are derived from this progress note system, including legibility, tracking of laboratory and other data, tracking of management plans and procedures due at a later date, and significant time savings. The system has proved to be easy to learn, and the neonatal intensive care unit staff have found it to contribute to the efficient delivery of patient care.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

W W Lowe, T A Ciszek, K J Gallaher. 1992. Comprehensive computerized neonatal intensive care unit data system including real-time, computer-generated daily progress notes.. https://pubmed.ncbi.nlm.nih.gov/1728024/

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↗