Authors:
Mariana Carvalho
and
Ana Borges
Affiliation:
CIICESI, Escola Superior de Tecnologia e Gestão, Politécnico do Porto, Rua do Curral, Casa do Curral, Margaride, Felgueiras, 4610-156, Portugal
Keyword(s):
Patient Profiling, Data Mining, Clustering, Healthcare, Emergency Departments.
Abstract:
Improving healthcare delivery in emergency departments (EDs) is of paramount importance to ensure efficient and effective patient care. This study aims to enhance healthcare in the ED by employing cluster analysis techniques to profile patients and external conditions. Through a comprehensive analysis of patient data and factors associated with the ED environment, we seek to identify patterns, optimize resource allocation, and tailor interventions for improved outcomes. The identification of distinct patient profiles and understanding of the impact of external factors allows to understand the complex dynamics of the ED. Additionally, it enables healthcare professionals to better understand patient populations, anticipate healthcare needs, and tailor treatment plans accordingly. Therefore, in this paper, we apply a clustering technique to obtain three clusters with different characteristics, both at the patient level and at the level of external factors, with different emergency room
inflows.
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