Home > Journals > Minerva Anestesiologica > Past Issues > Minerva Anestesiologica 1998 July-August;64(7-8) > Minerva Anestesiologica 1998 July-August;64(7-8):329-37

CURRENT ISSUE
 

ARTICLE TOOLS

Reprints

MINERVA ANESTESIOLOGICA

A Journal on Anesthesiology, Resuscitation, Analgesia and Intensive Care


Official Journal of the Italian Society of Anesthesiology, Analgesia, Resuscitation and Intensive Care
Indexed/Abstracted in: Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 2,036


eTOC

 

ORIGINAL ARTICLES  CRITICAL AND INTENSIVE THERAPY


Minerva Anestesiologica 1998 July-August;64(7-8):329-37

language: Italian

Neurosheet: an electronic sheet for neurosurgical intensive care

Colombo A., Stocchetti N., Rossi S., De Marchi M., Rotelli S., Chieregato A.

Ospedale Maggiore Policlinico IRCCS - Milano, Terapia Intensiva Neurochirurgica


FULL TEXT  


Purpose. A growing number of monitoring and diagnostic instruments has considerably increased the amount of information available in the intensive care unit. A data collection system which can be useful in highlighting and processing the most relevant data for the care of head-injured patients (Neurosheet) has been set up. The purpose of this study is to describe Neurosheet and to analyse the results achieved through its use.
Environment. Neurosurgical Intensive Care Unit.
Methods. Neurosheet consists of a data sheet which follows the course of some “key” variables in head-injured patients who undergo ICP monitoring for a period of more than 48 hours.
Survey. Through a questionnaire distributed to the medical staff, the learning period and the opinion of the staff concerning the clinical usefulness of this instrument has been evaluated. The amount of time needed to compile Neurosheet has been measured and some criteria indicating its completeness identified.
Results. It has been found that Neurosheet can be learned quickly and is rather easy to use. Data resulting from the study of the learning curve and from the answers to the questionnaire, suggest that its learning period is quite short (10 to 20 minutes). Among the 28 eligible patients, Neurosheet was used for 24 (86%). The data collected show 1912 hours of monitoring, with an average of 112.8 (±55) hours per patient. Neurosheet was completed in 83% of the cases.
Conclusions. The aim of Neurosheet is to provide an answer to the overload of information using computerised systems able to simplify and support the daily clinical work.

top of page

Publication History

Cite this article as

Corresponding author e-mail