Usability Evaluation of a Modern Multilingual MeSH Browser.

Medical Informatics Applications Medical Subject Headings User-Computer Interface

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
29 Jun 2022
Historique:
entrez: 1 7 2022
pubmed: 2 7 2022
medline: 6 7 2022
Statut: ppublish

Résumé

Medical Subject Headings (MeSH) is one of the most important vocabularies for information retrieval in medical research. It enables fast and reliable retrieval of research on PubMed/MEDLINE, the world's largest body of medical literature. The original English version of the thesaurus can be accessed via a MeSH Browser developed by the NLM. Recently, a multilingual MeSH Browser was proposed to enable usage across languages. To improve upon the original system, a new user interface (UI) was developed using contemporary web design frameworks in combination with principles from cognitive science. It aims to simplify access for medical professionals and increase overall usability. Evaluating such design improvements continually is necessary to quantify the possible positive impact for online systems in medical research. This study therefore directly compares the resulting system to the NLM Browser, using an established online questionnaire. Results show significant improvements in content and navigation as well as overall user satisfaction, while offering feedback for future improvements. This underlines the benefits of employing contemporary web design in terms of usability and user satisfaction.

Identifiants

pubmed: 35773799
pii: SHTI220653
doi: 10.3233/SHTI220653
doi:

Types de publication

Journal Article

Langues

eng

Pagination

37-40

Auteurs

Philip Strecker (P)

Institute for AI and Informatics in Medicine, University Hospital rechts der Isar, Technical University Munich, Munich, Germany.
Institute of Medical Biometry and Statistics, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
University College, University of Freiburg, Freiburg, Germany.

Martin Boeker (M)

Institute for AI and Informatics in Medicine, University Hospital rechts der Isar, Technical University Munich, Munich, Germany.

Simon Buechner (S)

University College, University of Freiburg, Freiburg, Germany.

Raphael Scheible (R)

Institute for AI and Informatics in Medicine, University Hospital rechts der Isar, Technical University Munich, Munich, Germany.
Institute for Immunodeficiency, Center for Chronic Immunodeficiency (CCI), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

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Classifications MeSH