Clinical Decision Support System for PIM in Elderly Patients: Implementation and Initial Evaluation in Ambulatory Care.

Clinical Decision Support systems Elderly Electronic Health Records Potentially Inappropriate Medication

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
25 May 2022
Historique:
entrez: 25 5 2022
pubmed: 26 5 2022
medline: 27 5 2022
Statut: ppublish

Résumé

The high prevalence of PIMs in elderly is a major healthcare concern and indicates the need for medication monitoring systems. Most PIM CDSS have shown positive effects respecting PIM prescription but these results were more consistently in hospital settings compared with ambulatory care. We describe the post-implementation evaluation of a PIM CDSS for general practitioners (GP) in the ambulatory setting and explore GP interactions with the PIM alerts. The CDSS generated 3218 unique alerts and involved 2863 elderly patients. Benzodiazepines was the drug with the most alerts triggered. Only 129 (4 %) were opened by GP during patient appointments. We need to develop an understanding of how alerts should be designed and display information to support the workflow of general practitioners. Pos-implementation evaluations are the key of CDSS improvements.

Identifiants

pubmed: 35612125
pii: SHTI220504
doi: 10.3233/SHTI220504
doi:

Types de publication

Journal Article

Langues

eng

Pagination

475-479

Auteurs

Eliana Frutos (E)

Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.

Martin Kakazu (M)

Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.

Matias Tajerian (M)

Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.

Alejandro Gaiera (A)

Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.

Luciana Rubin (L)

Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.

Carlos Otero (C)

Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.

Daniel Luna (D)

Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.

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Classifications MeSH