intensive care unit (ICU) , admission and discharge decisions , decision making , Markov decision process , dynamic programming , simulation , operations research
Abstract:
The intensive care unit (ICU) is one of the most crucial resources in the hospital. Improper ICU management causes many negative effects in the ICU itself and in other connected departments along the patient care path. This dissertation presents three papers on optimizing the ICU management decisions. The first paper provides the first structured and comprehensive review of ICU problems in OR/MS. The relevant papers are discussed based on a new framework. The second paper proposes a discrete-time MDP model to find admission and early discharge policies that minimize these negative consequences. By minimizing the medical consequences, the approach demonstrated significantly outperforms a myopic policy as applied by most hospitals in practice. The third paper compares eleven different management policies based on different KPIs by a simulation study. In comparison to the baseline case running on a FCFS rule, any management policy is superior regardless of the evaluation criteria.
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