ArticleBMC medical informatics and decision making2008
An iconic language for the graphical representation of medical concepts.
Article in BMC medical informatics and decision making, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- A Web Interface for Antibiotic Prescription Recommendations in Primary Care: User-Centered Design Approach.Journal of medical Internet research · 2021Article
- How to interact with medical terminologies? Formative usability evaluations comparing three approaches for supporting the use of MedDRA by pharmacovigilance specialists.BMC medical informatics and decision making · 2020Article
- Improving Medication Information Presentation Through Interactive Visualization in Mobile Apps: Human Factors Design.JMIR mHealth and uHealth · 2019Article
- Interface, information, interaction: a narrative review of design and functional requirements for clinical decision support.Journal of the American Medical Informatics Association : JAMIA · 2018Review
- Medicons: toward clinical examination diagrams standardization in medical documentation.Advances in medical education and practice · 2017Article
- Design and evaluation of a software for the objective and easy-to-read presentation of new drug properties to physicians.BMC medical informatics and decision making · 2015Article
- Design and usability study of an iconic user interface to ease information retrieval of medical guidelines.Journal of the American Medical Informatics Association : JAMIA · 2014Article
- Improving access to clinical practice guidelines with an interactive graphical interface using an iconic language.BMC medical informatics and decision making · 2014Article
- Evaluating alignment quality between iconic language and reference terminologies using similarity metrics.BMC medical informatics and decision making · 2014Article
- Comparison of two kinds of interface, based on guided navigation or usability principles, for improving the adoption of computerized decision support systems: application to the prescription of antibiotics.Journal of the American Medical Informatics Association : JAMIA · 2014Article
- A semi-automatic semantic method for mapping SNOMED CT concepts to VCM Icons.Studies in health technology and informatics · 2013Article
- Design of a graphical and interactive interface for facilitating access to drug contraindications, cautions for use, interactions and adverse effects.BMC medical informatics and decision making · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany medication errors are encountered in drug prescriptions, which would not occur if practitioners could remember the drug properties. They can refer to drug monographs to find these properties, however drug monographs are long and tedious to read during consultation. We propose a two-step approach for facilitating access to drug monographs. The first step, presented here, is the design of a graphical language, called VCM.
methodsThe VCM graphical language was designed using a small number of graphical primitives and combinatory rules. VCM was evaluated over 11 volunteer general practitioners to assess if the language is easy to learn, to understand and to use. Evaluators were asked to register their VCM training time, to indicate the meaning of VCM icons and sentences, and to answer clinical questions related to randomly generated drug monograph-like documents, supplied in text or VCM format.
resultsVCM can represent the various signs, diseases, physiological states, life habits, drugs and tests described in drug monographs. Grammatical rules make it possible to generate many icons by combining a small number of primitives and reusing simple icons to build more complex ones. Icons can be organized into simple sentences to express drug recommendations. Evaluation showed that VCM was learnt in 2 to 7 hours, that physicians understood 89% of the tested VCM icons, and that they answered correctly to 94% of questions using VCM (versus 88% using text, p = 0.003) and 1.8 times faster (p < 0.001).
conclusionVCM can be learnt in a few hours and appears to be easy to read. It can now be used in a second step: the design of graphical interfaces facilitating access to drug monographs. It could also be used for broader applications, including the design of interfaces for consulting other types of medical document or medical data, or, very simply, to enrich medical texts.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.