Investigation of the Usability of Computerized Critical Care Information Systems in Germany.


Journal

Journal of intensive care medicine
ISSN: 1525-1489
Titre abrégé: J Intensive Care Med
Pays: United States
ID NLM: 8610344

Informations de publication

Date de publication:
Mar 2019
Historique:
pubmed: 16 3 2017
medline: 17 9 2020
entrez: 16 3 2017
Statut: ppublish

Résumé

The term "usability" describes how effectively, efficiently, and with what level of user satisfaction an information system can be used to accomplish specific goals. Computerized critical care information systems (CCISs) with high usability increase quality of care and staff satisfaction, while reducing medication errors. Conversely, systems lacking usability can interrupt clinical workflow, facilitate errors, and increase charting time. The aim of this study was to investigate and compare usability across CCIS currently used in Germany. In this study, German intensive care unit (ICU) nurses and physicians completed a specialized, previously validated, web-based questionnaire. The questionnaire assessed CCIS usability based on three rating models: an overall rating of the systems, a model rating technical usability, and a model rating task-specific usability. We analyzed results from 535 survey participants and compared eight different CCIS commonly used in Germany. Our results showed that usability strongly differs across the compared systems. The system ICUData had the best overall rating and technical usability, followed by the platforms ICM and MetaVision. The same three systems performed best in the rating of task-specific usability without significant differences between each other. Across all systems, overall ratings were more dependent on ease-of-use aspects than on aspects of utility/functionality, and the general scope of the functions offered was rated better than how well the functions are realized. Our results suggest that manufacturers should shift some of their effort away from the development of new features and focus more on improving the ease-of-use and quality of existing features.

Identifiants

pubmed: 28292221
doi: 10.1177/0885066617696848
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

227-237

Auteurs

Falk von Dincklage (F)

Klinik für Anästhesiologie mit Schwerpunkt operative Intensivmedizin, Charité-Universitätsmedizin Berlin, Campus Charité Mitte und Campus Virchow-Klinikum, Berlin, Germany.
Authors contributed equally to this work.

Klaudiusz Suchodolski (K)

Klinik für Anästhesiologie und Intensivmedizin, Medizinische Hochschule Hannover, Hannover, Germany.
Authors contributed equally to this work.

Gregor Lichtner (G)

Klinik für Anästhesiologie mit Schwerpunkt operative Intensivmedizin, Charité-Universitätsmedizin Berlin, Campus Charité Mitte und Campus Virchow-Klinikum, Berlin, Germany.

Wolfgang Friesdorf (W)

HCMB Institute for Health Care Systems Management Berlin eG, Berlin, Germany.

Beatrice Podtschaske (B)

Clinical Excellence Research Center, Stanford University, Stanford, USA.

Maximilian Ragaller (M)

Klinik und Poliklinik für Anästhesiologie und Intensivtherapie, Universitätsklinikum Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

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Classifications MeSH