ReviewHealth care management science2018
Operations research in intensive care unit management: a literature review.
Review in Health care management science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Optimizing patient flow logistics: strategic challenges, tactical solutions, and future directions.BMC health services research · 2025Pooled it
- Advancing evidence-based healthcare facility design: a systematic literature review.Health care management science · 2020Pooled it
- Real-time healthcare staffing optimization using fuzzy logic and genetic algorithm.Health economics review · 2026Article
- Toward generalizable and interpretable machine learning models in healthcare: Insights from ICU outcome predictions.Health care management science · 2026Article
- Machine Learning for Intensive Care Unit Length-of-Stay Prediction: A Simulation-Based Approach to Bed Capacity Management.Medical decision making : an international journal of the Society for Medical Decision Making · 2026Article
- A systematic review of operational research modelling for alcohol consumption and its consequences.Health systems (Basingstoke, England) · 2026Review
- The potential of patient-based nurse staffing - a queuing theory application in the neonatal intensive care setting.Health care management science · 2024Observational
- Fractured systems: a literature review of OR/MS methods applied to orthopaedic care settings and treatments.Health systems (Basingstoke, England) · 2024Review
- Role of Charlson comorbidity index in predicting the ICU admission in patients with thoracic aortic aneurysm undergoing surgery.Journal of orthopaedic surgery and research · 2023Article
- Observational
- A queuing model for ventilator capacity management during the COVID-19 pandemic.Health care management science · 2023Article
- A look at the past to draw lessons for the future: how the case of an urgent ICU transfer taught us to always be ready with a plan B.Frontiers in medicine · 2023Article
- Wait!What does that mean?: Eliminating ambiguity of delays in healthcare from an OR/MS perspective.Health systems (Basingstoke, England) · 2023Review
- Improving service efficiency and throughput of cardiac surgery patients using Monte Carlo simulation: a queueing setting.Scientific reports · 2022Article
- Characterizing intensive care unit rounding teams using meta-data from the electronic health record.Journal of critical care · 2022Article
- Increasing cardio-thoracic productivity at Erasmus MC.Health systems (Basingstoke, England) · 2022Article
- Managing admission and discharge processes in intensive care units.Health care management science · 2021Article
- Simulation-based evaluation of operating room management policies.BMC health services research · 2021Article
- Markov chain analysis for the neonatal inpatient flow in a hospital.Health care management science · 2021Article
- A scheduling-based methodology for improving patient perceptions of quality of care in intensive care units.Health care management science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
27518713What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.