Universität zu Köln

Bai, Jie ORCID: 0000-0003-2380-1065, Fügener, Andreas ORCID: 0000-0002-4580-7444, Schoenfelder, Jan ORCID: 0000-0002-8793-955X and Brunner, Jens O. ORCID: 0000-0002-2700-4795 (2018). Operations research in intensive care unit management: a literature review. Health care management science, 21 (1). 1 - 25. NEW YORK: SPRINGER. ISSN 1572-9389

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Abstract

The intensive care unit (ICU) is a crucial and expensive resource largely affected by uncertainty and variability. Insufficient ICU capacity causes many negative effects not only in the ICU itself, but also in other connected departments along the patient care path. Operations research/management science (OR/MS) plays an important role in identifying ways to manage ICU capacities efficiently and in ensuring desired levels of service quality. As a consequence, numerous papers on the topic exist. The goal of this paper is to provide the first structured literature review on how OR/MS may support ICU management. We start our review by illustrating the important role the ICU plays in the hospital patient flow. Then we focus on the ICU management problem (single department management problem) and classify the literature from multiple angles, including decision horizons, problem settings, and modeling and solution techniques. Based on the classification logic, research gaps and opportunities are highlighted, e.g., combining bed capacity planning and personnel scheduling, modeling uncertainty with non-homogenous distribution functions, and exploring more efficient solution approaches.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Bai, Jie UNSPECIFIED orcid.org/0000-0003-2380-1065 UNSPECIFIED Fügener, Andreas UNSPECIFIED orcid.org/0000-0002-4580-7444 UNSPECIFIED Schoenfelder, Jan UNSPECIFIED orcid.org/0000-0002-8793-955X UNSPECIFIED Brunner, Jens O. UNSPECIFIED orcid.org/0000-0002-2700-4795 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-193399
DOI:	10.1007/s10729-016-9375-1
Journal or Publication Title:	Health care management science
Volume:	21
Number:	1
Page Range:	1 - 25
Date:	2018
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	1572-9389
Language:	English
Faculty:	Faculty of Management, Economy and Social Sciences
Divisions:	Faculty of Management, Economics and Social Sciences > Business Administration > Supply Chain Management > Professur für Digital Supply Chain Managment
Subjects:	Management and auxiliary services
Uncontrolled Keywords:	Keywords Language LENGTH-OF-STAY; SCHEDULING APPROACH; MATHEMATICAL-MODEL; QUEUING THEORY; HEALTH-CARE; THE-ART; ICU; CAPACITY; SIMULATION; OCCUPANCY Multiple languages Health Policy & Services Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/19339