[Use of a pharmaceutical decision support system in the valuation of hospital stays: Evaluation through 3 examples in collaboration with the department of medical information].

Utilisation d’un système d’aide à la décision pharmaceutique dans la valorisation des séjours hospitaliers : évaluation à travers 3 exemples en collaboration avec le département de l’information médicale.
Clinical decision support system Department of medical information Département de l’information médicale Système d’aide à la décision pharmaceutique Valorisation

Journal

Therapie
ISSN: 1958-5578
Titre abrégé: Therapie
Pays: France
ID NLM: 0420544

Informations de publication

Date de publication:
31 Jul 2024
Historique:
received: 06 05 2024
revised: 11 07 2024
accepted: 22 07 2024
medline: 28 8 2024
pubmed: 28 8 2024
entrez: 27 8 2024
Statut: aheadofprint

Résumé

Pharmacy decision support systems (PDSS) help clinical pharmacists to prevent and detect adverse drug events. The coding of hospital stays by the department of medical information (DMI) requires expertise, as it determines hospital revenues and the epidemiological data transmitted via the French national hospital database. The aim was to study the interest and feasibility of using a PDSS, in collaboration with the DMI, to help with the coding of hospital stays. Over 5 months, three rules were implemented in the PDSS to detect gout, Parkinson's disease and oro-pharyngeal candidiasis. The PDSS alerts were analyzed by a pharmacy resident and then forwarded to the DMI, who analyzed the stays to see whether or not the coding for the disease corresponding to the alert was present. The absence of coding was evaluated and tracked, along with the resulting change in severity and valuation. Three hundred and ninety-nine alerts from the PDSS were analyzed and sent to the DMI, representing 211 stays and 309 uniform hospital standardized discharge abstract (UHSDA) in the fields of medicine, surgery and obstetrics. Two hundred and eight (67.3%) UHSDA did not have the coding corresponding to the alert. For the majority of these UHSDAs, apart from diagnostic precision, there was no impact on the valuation of stays. For 4 UHSDAs, the addition of the diagnosis code led to an increase in the value of the stay and the severity of the homogeneous patient groups. The total revaluation corresponding to this modification was €5416. The use of PDSS has helped in the precision of diagnosis coding and the valuation of stays. This result must be weighed against the time invested in analyzing alerts and associated coding. An improvement in disease detection and data processing is needed to be feasible in practice, given the more than 227,600 RSS performed per year at our facility.

Identifiants

pubmed: 39191598
pii: S0040-5957(24)00082-9
doi: 10.1016/j.therap.2024.07.004
pii:
doi:

Types de publication

English Abstract Journal Article

Langues

fre

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Société française de pharmacologie et de thérapeutique. Published by Elsevier Masson SAS. All rights reserved.

Auteurs

Laurine Robert (L)

CHU de Lille, institut de Pharmacie, 59000 Lille, France. Electronic address: laurine.robert@chu-lille.fr.

Ali Laraba (A)

CHU de Lille, institut de Pharmacie, 59000 Lille, France.

Amélie Bruandet (A)

CHU de Lille, département d'information médicale, 59000 Lille, France.

Alexandra Royer (A)

CHU de Lille, département d'information médicale, 59000 Lille, France.

Pascal Odou (P)

Université de Lille, CHU de Lille, ULR 7365-GRITA : groupe de recherche sur les formes injectables et les technologies associées, 59000 Lille, France.

Bertrand Décaudin (B)

Université de Lille, CHU de Lille, ULR 7365-GRITA : groupe de recherche sur les formes injectables et les technologies associées, 59000 Lille, France.

Chloé Rousselière (C)

CHU de Lille, institut de Pharmacie, 59000 Lille, France.

Classifications MeSH