Development and evaluation of PRESGUID, a decision support system for prescribing in primary care.
"Aide informatisée à la prescription : Intégration d’une banque de données sur les médicaments dans les guides de bonne pratique clinique."
clinical domains
Primary care prescribing
description
PRESGUID is a web-based decision support system that integrates patient data with
clinical practice guidelines
and a drug database (in this case, the French Vidal® database) in order to provide decision support in prescribing in a primary care setting.
Objectifs - le système doit:
"Etre facilement accessible aux médecins libéraux participant au programme
"Permettre l’élaboration d’une prescription pour un patient en fonction de ses caractéristiques individuelles ;
"Proposer des recommandations ou des règles stratégiques basées sur un consensus scientifique et adaptées au cas du patient et selon le risque individuel prédit ;
"Fournir au médecin l’accès aux références pertinentes, support des recommandations du système, afin d'expliciter les bases de ces recommandations. Ces bases intégrant les connaissances sur les médicaments prescrits.
"
references
Dufour JC, Fieschi D, Fieschi M.
Coupling computer-interpretable guidelines with a drug-database through a web-based system - The PRESGUID project.
BMC Med Inform Decis Mak 2004 Mar 2, 4:2.
"
BACKGROUND: Clinical Practice Guidelines (CPGs) available today are not extensively used due to lack of proper integration into clinical settings, knowledge-related information resources, and lack of decision support at the point of care in a particular clinical context. OBJECTIVE: The PRESGUID project (PREScription and GUIDelines) aims to improve the assistance provided by guidelines. The project proposes an online service enabling physicians to consult computerized CPGs linked to drug databases for easier integration into the healthcare process. METHODS: Computable CPGs are structured as decision trees and coded in XML format. Recommendations related to drug classes are tagged with ATC codes. We use a mapping module to enhance computerized guidelines coupling with a drug database, which contains detailed information about each usable specific medication. In this way, therapeutic recommendations are backed up with current and up-to-date information from the database. RESULTS: Two authoritative CPGs, originally diffused as static textual documents, have been implemented to validate the computerization process and to illustrate the usefulness of the resulting automated CPGs and their coupling with a drug database. We discuss the advantages of this approach for practitioners and the implications for both guideline developers and drug database providers. Other CPGs will be implemented and evaluated in real conditions by clinicians working in different health institutions.
"
start date
end date
location
support
2002
France
Ministère de la Jeunesse, de l'Education Nationale et de la Recherche dans le cadre de l'appel à projet 2002 "Action Concertée Incitative (ACI), Technologies pour la Santé".
contact
links
Dr Jean-Charles Dufour
LERTIM - Faculté de Médecine Université de la Méditerranée 27, bld Jean Moulin
13385 Marseille Cedex 5 France
E: jean-charles.dufour@medecine.univ-mrs.fr
Partners: The University departments of LERTIM (Marseille), CERIM (Lille), LIM (Rennes); Vidal SA.
PRESGUID project