An optimization based on simulation approach to the patient admission scheduling problem: Diagnostic imaging department case study

• Tipo: Artigo em Revista Científica Internacional
• Data: 2014

Autores

Conceição Granja (Autor) FEUP; Bernardo Almada Lobo (Autor) FEUP; Filipe Janela (Autor) FADEUP; João Seabra (Autor) FADEUP; Adélio Mendes (Autor) FEUP

Revista

Título: Journal of Digital Imaging

Páginas: 33-40

ISSN: 0897-1889

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 3 Citações

ISI Web of Science

Scopus - 7 Citações

INSPEC

Classificação Científica

FOS: Ciências médicas e da saúde

CORDIS: Ciências da Saúde

Projetos Associados

UI0511 - PROJECTO ESTRATÉGICO - UI 511 - 2013-2014

Outras Informações

ID Authenticus: P-009-5ZC

DOI: 10.1007/s10278-013-9626-3

Abstract (EN): The growing influx of patients in healthcare providers is the result of an aging population and emerging self-consciousness about health. In order to guarantee the welfare of all the healthcare stakeholders, it is mandatory to implement methodologies that optimize the healthcare providers' efficiency while increasing patient throughput and reducing patient's total waiting time. This paper presents a case study of a conventional radiology workflow analysis in a Portuguese healthcare provider. Modeling tools were applied to define the existing workflow. Re-engineered workflows were analyzed using the developed simulation tool. The integration of modeling and simulation tools allowed the identification of system bottlenecks. The new workflow of an imaging department entails a reduction of 41 % of the total completion time. © 2013 Society for Imaging Informatics in Medicine.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8