Title |
Improving access to clinical practice guidelines with an interactive graphical interface using an iconic language
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Published in |
BMC Medical Informatics and Decision Making, August 2014
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DOI | 10.1186/1472-6947-14-77 |
Pubmed ID | |
Authors |
Suzanne Pereira, Sylvain Hassler, Saliha Hamek, César Boog, Nicolas Leroy, Marie-Catherine Beuscart-Zéphir, Madeleine Favre, Alain Venot, Catherine Duclos, Jean-Baptiste Lamy |
Abstract |
Clinical practice guidelines are useful for physicians, and guidelines are available on the Internet from various websites such as Vidal Recos. However, these guidelines are long and difficult to read, especially during consultation. Similar difficulties have been encountered with drug summaries of product characteristics. In a previous work, we have proposed an iconic language (called VCM, for Visualization of Concepts in Medicine) for representing patient conditions, treatments and laboratory tests, and we have used these icons to design a user interface that graphically indexes summaries of product characteristics. In the current study, our objective was to design and evaluate an iconic user interface for the consultation of clinical practice guidelines by physicians. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Unknown | 30 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 23% |
Student > Ph. D. Student | 5 | 16% |
Researcher | 3 | 10% |
Professor | 2 | 6% |
Librarian | 2 | 6% |
Other | 5 | 16% |
Unknown | 7 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 29% |
Computer Science | 5 | 16% |
Nursing and Health Professions | 3 | 10% |
Social Sciences | 2 | 6% |
Psychology | 1 | 3% |
Other | 3 | 10% |
Unknown | 8 | 26% |