K-means clustering to identify high risk of early revisits in patients with drug-related problems attending the emergency department

Patients admitted to the ED due DRPs exhibit varying revisit rates across different clinical phenotypes. K-means clustering aids in identifying patients who derive the greatest rates of readmission, and is a useful tool to prioritise interventions in these units.

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Publication Details

Journal
European Journal of Hospital Pharmacy
Published
2025-02-04
DOI
https://doi.org/10.1136/ejhpharm-2024-004414
Citations
1
Primary Topic
Pharmacy and Medical Practices
Type
article
Field-Weighted Citation Impact
1.56
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article

K-means clustering to identify high risk of early revisits in patients with drug-related problems attending the emergency department

Marta Blázquez-Andión, Mireia Puig, Jesús Ruiz Ramos, Adrián Plaza‐Díaz et al.
1 citations
European Journal of Hospital Pharmacy
Pharmacy and Medical Practices
1.56
article

K-means clustering to identify high risk of early revisits in patients with drug-related problems attending the emergency department

Marta Blázquez-Andión, Mireia Puig, Jesús Ruiz Ramos, Adrián Plaza‐Díaz, Ana Juanes‐Borrego, Caterina Sampol-Mayol, Alicia Serrano-García-Calvo, Natalia Sanz-López, Xenia Acebes-Roldán
article en
1 citations

Abstract

Patients admitted to the ED due DRPs exhibit varying revisit rates across different clinical phenotypes. K-means clustering aids in identifying patients who derive the greatest rates of readmission, and is a useful tool to prioritise interventions in these units.

European Journal of Hospital PharmacyVol. 33(1)
Hospital de Sant Pau (ES)
Good health and well-being
Openalex Percentile: Top 23%
Pharmacy and Medical Practices
1.56
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