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Patient flow-based allocation of inpatient resources: A case study
Affiliation:1. Faculty of Technology Management, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands;2. NZi Health Care Management Development, P.O. Box 9697, 3506 GR Utrecht, The Netherlands;1. School of Science, Shandong Jiaotong University, Jinan 250357, China;2. School of Construction Machinery, Shandong Jiaotong University, Jinan 250357, China;1. HERMES Logistics Modeling Team, Baltimore, MD and Pittsburgh, PA, USA;2. Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, PA, USA;3. Global Obesity Prevention Center (GOPC), Johns Hopkins University, Baltimore, MD, USA;4. Department of International Health, Johns Hopkins University, Baltimore, MD, USA;1. Cardiology and Aortic Centre, Royal Brompton and Harefield Hospital NHS Foundation Trust, London, United Kingdom;2. Faculty of Medicine, Department of Cardiology, National Heart and Lung Institute, Imperial College, London, United Kingdom;3. School of Biomedical Engineering and Imaging Science, King''s College London, St Thomas'' Hospital, London, United Kingdom;4. Department of Vascular Surgery, St George''s Hospital, London, United Kingdom;1. Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR China;2. College of Mathematics and Statistics, Chongqing University, Chongqing 401331, PR China
Abstract:The paper considers the allocation of inpatient resources such as beds, operating theatres and nursing staff to specialties within a hospital setting. It describes an allocation procedure that takes patient flows as its starting point and enables an evaluation of combined impacts on the different resources involved. The paper is written in the format of a case study, dealing with a hospital that had serious problems with the utilization of beds and was faced with many admission-stops. However, the method can be used to a wide range of resource management problems in hospitals and can contribute to improving flexibility in the use of hospital resources.
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