Background: Adverse Drug Events (ADEs) endanger the patients. Their detection and prevention is essential to improve the patients' safety. In the absence of computerized physician order entry (CPOE), discharge summaries are the only source of information about the drugs prescribed during a hospitalization.
View Article and Find Full Text PDFPracticing physicians have limited time for consulting medical knowledge and records. We have previously shown that using icons instead of text to present drug monographs may allow contraindications and adverse effects to be identified more rapidly and more accurately. These findings were based on the use of an iconic language designed for drug knowledge, providing icons for many medical concepts, including diseases, antecedents, drug classes and tests.
View Article and Find Full Text PDFStud Health Technol Inform
December 2009
Summary of Product Characteristics (SPC) indexing enables to extract all the information needed to analyze a prescription and find some inappropriate medications. We evaluate a French Multi-Terminology Indexer tool (F-MTI) for SPC automatic indexing. This tool uses a dictionary containing the textual forms that are likely to appear in natural language text for the drug clinical particular terms contained in the Vidal thesaurus (TUV).
View Article and Find Full Text PDFStud Health Technol Inform
January 2010
Adverse drug events are a public health issue (98,000 deaths in the USA every year). Some computerized physician order entry (CPOEs) coupled with clinical decision support systems (CDSS) allow to prevent ADEs thanks to decision rules. Those rules can come from many sources: academic knowledge, record reviews, and data mining.
View Article and Find Full Text PDFBackground: To facilitate information retrieval in the biomedical domain, a system for the automatic assignment of Medical Subject Headings to documents curated by an online quality-controlled health gateway was implemented. The French Multi-Terminology Indexer (F-MTI) implements a multiterminology approach using nine main medical terminologies in French and the mappings between them.
Objective: This paper presents recent efforts to assess the added value of (a) integrating four new terminologies (Orphanet, ATC, drug names, MeSH supplementary concepts) into F-MTI's knowledge sources and (b) performing the automatic indexing on the titles and abstracts (vs.
Background: To assist with the development of a French online quality-controlled health gateway(CISMeF), an automatic indexing tool assigning MeSH descriptors to medical text in French was created. The French Multi-Terminology Indexer (FMTI) relies on a multi-terminology approach involving four prominent medical terminologies and the mappings between them.
Objective: In this paper,we compare lemmatization and stemming as methods to process French medical text for indexing.