Managing an automated clinical laboratory: optimization challenges and opportunities
Claudia Archetti (),
M. Grazia Speranza () and
Emirena Garrafa ()
Additional contact information
Claudia Archetti: University of Brescia
M. Grazia Speranza: University of Brescia
Emirena Garrafa: University of Brescia
EURO Journal on Decision Processes, 2020, vol. 8, issue 1, No 3, 60 pages
Abstract:
Abstract In this paper, we analyze and discuss the optimization challenges and opportunities raised by the decision of building an automated clinical laboratory in a hospital unit. We first describe the general decision setting from a strategic, tactical and operational perspective. We then focus on the analysis of a practical case, i.e., the Central Laboratory of a large urban academic teaching hospital in the North of Italy, the ‘Spedali Civili’ in Brescia. We will describe the present situation and the research opportunities related to the study of possible improvements of the management of the laboratory.
Keywords: Clinical laboratory automation; Optimization; Scheduling (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s40070-019-00097-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:eurjdp:v:8:y:2020:i:1:d:10.1007_s40070-019-00097-2
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/40070
DOI: 10.1007/s40070-019-00097-2
Access Statistics for this article
EURO Journal on Decision Processes is currently edited by Vincent Mousseau
More articles in EURO Journal on Decision Processes from Springer, EURO - The Association of European Operational Research Societies
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().