Literature DB >> 7476461

A general model of drug prescription.

B Séné1, A Venot, I de Zegher, C Milstein, S Errore, F de Rosis, G Strauch.   

Abstract

Currently, there is no widely accepted structured representation of drug prescription. Nevertheless, a structured representation is required for entering and storing drug prescriptions avoiding free text in computerized systems, and for drug prescription reviews. Derived from part of the work of the European OPADE project, we describe an object-oriented model of drug prescription which incorporates important concepts such as the phase and triggering event concepts. This model can be used to record all drug prescriptions, including infusions, in a structured way avoiding free text. The phase concept allows the storage of sequentially ordered dosage regimens for a drug within the same prescription. The prescription triggering event concept allows recording of the administration of a drug conditional to dates, symptoms and clinical signs, medical procedures, and everyday life events. This model has been implemented within the OPADE project; the corresponding aspects of the user interface are presented to show how this model can be used in practice. Even if other new attributes may be added to the described objects, the structure of this model is suitable for general use in software which requires the entry, storage and processing of drug prescriptions.

Mesh:

Year:  1995        PMID: 7476461

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  3 in total

Review 1.  Electronic prescribing for the elderly: will it improve medication usage?

Authors:  A Venot
Journal:  Drugs Aging       Date:  1999-08       Impact factor: 3.923

2.  A drug database model as a central element for computer-supported dose adjustment within a CPOE system.

Authors:  Peter Martin; Walter E Haefeli; Meret Martin-Facklam
Journal:  J Am Med Inform Assoc       Date:  2004-06-07       Impact factor: 4.497

3.  Designing concept maps for a precise and objective description of pharmaceutical innovations.

Authors:  Maia Iordatii; Alain Venot; Catherine Duclos
Journal:  BMC Med Inform Decis Mak       Date:  2013-01-18       Impact factor: 2.796

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.