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

• Type: Article in International Scientific Journal
• Date: 2014

Authors

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

Journal

Title: Journal of Digital Imaging

Pages: 33-40

ISSN: 0897-1889

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 3 Citations

ISI Web of Science

Scopus - 7 Citations

INSPEC

Scientific classification

FOS: Medical and Health sciences

CORDIS: Health sciences

Associated Projects

UI0511 - PROJECTO ESTRATÉGICO - UI 511 - 2013-2014

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8