ArticleHealth care management science2013
Tactical resource allocation and elective patient admission planning in care processes.
Article in Health care management science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Optimizing patient flow logistics: strategic challenges, tactical solutions, and future directions.BMC health services research · 2025Pooled it
- Assessing resource allocation based on workload: a data envelopment analysis study on clinical departments in a class a tertiary public hospital in China.BMC health services research · 2023Article
- Article
- Wait!What does that mean?: Eliminating ambiguity of delays in healthcare from an OR/MS perspective.Health systems (Basingstoke, England) · 2023Review
- Resource optimization for cancer pathways with aggregate diagnostic demand: a perishable inventory approach.IMA journal of management mathematics · 2021Article
- A robust optimization model for tactical capacity planning in an outpatient setting.Health care management science · 2021Article
- Patient Mix Optimization in Admission Planning under Multitype Patients and Priority Constraints.Computational and mathematical methods in medicine · 2021Article
- A hybrid analytical model for an entire hospital resource optimisation.Soft computing · 2021Article
- Multi-objective admission planning problem: a two-stage stochastic approach.Health care management science · 2020Article
- Access Planning and Resource Coordination for Clinical Research Operations.IISE transactions · 2020Article
- A Capacity Allocation Planning Model for Integrated Care and Access Management.Production and operations management · 2018Article
- Decreasing patient length of stay via new flexible exam room allocation policies in ambulatory care clinics.Health care management science · 2018Article
- Multi-disciplinary planning in health care: a review.Health systems (Basingstoke, England) · 2018Review
- Static and dynamic appointment scheduling to improve patient access time.Health systems (Basingstoke, England) · 2018Article
- Decision support for hospital bed management using adaptable individual length of stay estimations and shared resources.BMC medical informatics and decision making · 2013Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tactical planning of resources in hospitals concerns elective patient admission planning and the intermediate term allocation of resource capacities. Its main objectives are to achieve equitable access for patients, to meet production targets/to serve the strategically agreed number of patients, and to use resources efficiently. This paper proposes a method to develop a tactical resource allocation and elective patient admission plan. These tactical plans allocate available resources to various care processes and determine the selection of patients to be served that are at a particular stage of their care process. Our method is developed in a Mixed Integer Linear Programming (MILP) framework and copes with multiple resources, multiple time periods and multiple patient groups with various uncertain treatment paths through the hospital, thereby integrating decision making for a chain of hospital resources. Computational results indicate that our method leads to a more equitable distribution of resources and provides control of patient access times, the number of patients served and the fraction of allocated resource capacity. Our approach is generic, as the base MILP and the solution approach allow for including various extensions to both the objective criteria and the constraints. Consequently, the proposed method is applicable in various settings of tactical hospital management.
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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.