Patient Data Management Systems in Intensive Care--the Situation in Europe

Overview

Journal Intensive Care Med

Specialty Critical Care

Date 1995 Sep 1

PMID 8847425

Citations 8

Authors

P G Metnitz

K Lenz

Affiliations

Soon will be listed here.

Abstract

Objective: Computerized Patient Data Management Systems (PDMS) have been developed for handling the enormous increase in data collection in ICUs. This study tries to evaluate the functionality of such systems installed in Europe.

Design: Criteria reflecting usefulness and practicality formed the basis of a questionnaire to be answered accurately by the vendors. We then examined functions provided and their implementation in European ICUs. Next, an "Information Delivery Test" evaluated variations in performance, taking questions arising from daily routine work and measured time of information delivery.

Setting: ICUs located in Vienna (Austria), Antwerp (Belgium), Dortmund (Germany), Kuopio (Finland).

Participants: 5 PDMS were selected on the basis of our inclusion criteria: commercial availability with at least one installation in Europe, bedside-based design, realization of international standards and a prescribed minimum of functionality.

Results: The "Table of Functions" shows an overview of functions and their implementation. "System analyses" indicates predominant differences in properties and functions found between the systems. Results of the "Information Delivery Tests" are shown in the graphic charts.

Conclusions: Systems with graphical data presentation have advantages over systems presenting data mainly in numerical format. Time has come to form a medical establishment powerful enough to set standards and thus communicate with industrial partners as well as with hospital management responsible for planning, purchasing and implementing PDMS. Overall, communication between clinicians, nurses, computer scientists and PDMS vendors must be enhanced to achieve the common goal: useful and practical data management systems at ICUs.

Citing Articles

[Comparison of current critical care information systems from the perspective of clinical users : Summary of the results of a German nationwide survey].

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PMID: 31168685 DOI: 10.1007/s00101-019-0615-x.

Mapping physicians' admission diagnoses to structured concepts towards fully automatic calculation of acute physiology and chronic health evaluation score.

Chandra S, Kashyap R, Trillo-Alvarez C, Tsapenko M, Yilmaz M, Hanson A BMJ Open. 2011; 1(2):e000216.

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Informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness.

Herasevich V, Pickering B, Dong Y, Peters S, Gajic O Mayo Clin Proc. 2010; 85(3):247-54.

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A computer-assisted recording, diagnosis and management of the medically ill system for use in the intensive care unit: a preliminary report.

John G, Peter J, Chacko B, Pichamuthu K, Rao A, Subbalakshmi K Indian J Crit Care Med. 2009; 13(3):136-42.

PMID: 20040810 PMC: 2823094. DOI: 10.4103/0972-5229.58538.

Automatic calculation of the nine equivalents of nursing manpower use score (NEMS) using a patient data management system.

Junger A, Brenck F, Hartmann B, Klasen J, Quinzio L, Benson M Intensive Care Med. 2004; 30(7):1487-90.

PMID: 15085320 DOI: 10.1007/s00134-004-2239-z.

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