Translation of the REMEDI[e]S (Review of potentially inappropriate MEDIcation pr[e]scribing in Seniors) explicit criteria into seminatural language for use in prescription support systems: A multidisciplinary consensus.
Clinical decision support systems
Potentially inappropriate drugs
Prescription support systems
Seminatural language
Journal
Therapie
ISSN: 1958-5578
Titre abrégé: Therapie
Pays: France
ID NLM: 0420544
Informations de publication
Date de publication:
05 Oct 2024
05 Oct 2024
Historique:
received:
13
03
2024
revised:
01
08
2024
accepted:
10
09
2024
medline:
26
10
2024
pubmed:
26
10
2024
entrez:
25
10
2024
Statut:
aheadofprint
Résumé
By recovering data in an ordered manner and at the right time, clinical decision support systems (CDSSs) are designed to help healthcare professionals make decisions that improve patient care. The aim of the present study was to translate the REMEDI[e]s tool's explicit criteria, France's first reference list of potentially inappropriate drugs for the elderly, into seminatural language, in order to implement these criteria as alert rules and then enable their computer coding in a CDSS. This work was carried out at Lille University Hospital by a team of clinical pharmacists with expertise in the use of pharmaceutical decision support systems, in collaboration with the authors of the REMEDI[e]s tool. A total of 3 multi-professional consensus meetings were required to discuss the construction of each rule in seminatural language and the coding choices. All REMEDIES criteria (n=104) were translated into seminatural language. This study is the first to have translated the 104 REMEDI[e]s explicit criteria into seminatural language. One of the study's strengths relates to the close collaboration between the authors of the REMEDI[e]s tool and experts in CDSS programming rules; this ensured the exactitude of the seminatural language translations and limited (mis)interpretations.
Sections du résumé
BACKGROUND
BACKGROUND
By recovering data in an ordered manner and at the right time, clinical decision support systems (CDSSs) are designed to help healthcare professionals make decisions that improve patient care.
OBJECTIVES
OBJECTIVE
The aim of the present study was to translate the REMEDI[e]s tool's explicit criteria, France's first reference list of potentially inappropriate drugs for the elderly, into seminatural language, in order to implement these criteria as alert rules and then enable their computer coding in a CDSS.
METHODS
METHODS
This work was carried out at Lille University Hospital by a team of clinical pharmacists with expertise in the use of pharmaceutical decision support systems, in collaboration with the authors of the REMEDI[e]s tool. A total of 3 multi-professional consensus meetings were required to discuss the construction of each rule in seminatural language and the coding choices.
RESULTS
RESULTS
All REMEDIES criteria (n=104) were translated into seminatural language. This study is the first to have translated the 104 REMEDI[e]s explicit criteria into seminatural language.
CONCLUSIONS
CONCLUSIONS
One of the study's strengths relates to the close collaboration between the authors of the REMEDI[e]s tool and experts in CDSS programming rules; this ensured the exactitude of the seminatural language translations and limited (mis)interpretations.
Identifiants
pubmed: 39455303
pii: S0040-5957(24)00100-8
doi: 10.1016/j.therap.2024.09.002
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2024 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.