Gotowe bibliografie tematyczne / Patient admission scheduling

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Części książek
  4. Streszczenia konferencji

Gotowa bibliografia na temat „Patient admission scheduling”

Autor: Grafiati
Data publikacji: 21 grudnia 2024
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Patient admission scheduling"

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Zhang, Li Ming, Hui You Chang, and Rui Tian Xu. "The Patient Admission Scheduling of an Ophthalmic Hospital Using Genetic Algorithm." Advanced Materials Research 756-759 (September 2013): 1423–32. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1423.

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Currently, FCFS scheduling method is widely used in hospitals for patient admission scheduling, which ignores the impacts of patient length of stay and surgery arrangement on the usage of hospital resources. This paper proposes a more comprehensive mathematical model and evaluation mechanism for the patient admission scheduling of an ophthalmic hospital. A genetic algorithm (GA) is proposed to optimize the model, which can provide detailed scheduling of patient admission in the hospital for everyday. The result is compared with that of the traditional FCFS method, which indicates that the GA h
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Abu Doush, Iyad, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, et al. "Harmony Search Algorithm for Patient Admission Scheduling Problem." Journal of Intelligent Systems 29, no. 1 (2018): 540–53. http://dx.doi.org/10.1515/jisys-2018-0094.

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Abstract The patient admission scheduling (PAS) problem is an optimization problem in which we assign patients automatically to beds for a specific period of time while preserving their medical requirements and their preferences. In this paper, we present a novel solution to the PAS problem using the harmony search (HS) algorithm. We tailor the HS to solve the PAS problem by distributing patients to beds randomly in the harmony memory (HM) while respecting all hard constraints. The proposed algorithm uses five neighborhood strategies in the pitch adjustment stage. This technique helps in incre
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Abdalkareem, Zahraa A., Mohammed Azmi Al-Betar, Amiza Amir, Phaklen Ehkan, Abdelaziz I. Hammouri, and Omar H. Salman. "Discrete flower pollination algorithm for patient admission scheduling problem." Computers in Biology and Medicine 141 (February 2022): 105007. http://dx.doi.org/10.1016/j.compbiomed.2021.105007.

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Barz, Christiane, and Kumar Rajaram. "Elective Patient Admission and Scheduling under Multiple Resource Constraints." Production and Operations Management 24, no. 12 (2015): 1907–30. http://dx.doi.org/10.1111/poms.12395.

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Ashraf, Shahzaib, Noor Rehman, Saleem Abdullah, Bushra Batool, Mingwei Lin, and Muhammad Aslam. "Decision support model for the patient admission scheduling problem based on picture fuzzy aggregation information and TOPSIS methodology." Mathematical Biosciences and Engineering 19, no. 3 (2022): 3147–76. http://dx.doi.org/10.3934/mbe.2022146.

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<abstract><p>Health care systems around the world do not have sufficient medical services to immediately offer elective (e.g., scheduled or non-emergency) services to all patients. The goal of patient admission scheduling (PAS) as a complicated decision making issue is to allocate a group of patients to a limited number of resources such as rooms, time slots, and beds based on a set of preset restrictions such as illness severity, waiting time, and disease categories. This is a crucial issue with multi-criteria group decision making (MCGDM). In order to address this issue, we first
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Chaouch, Rihab, Jihene Tounsi, Issam Nouaouri, and Sabeur Elkosantini. "Mixed Integer Programming For Patient Admission Scheduling in Hospital Network." IFAC-PapersOnLine 58, no. 19 (2024): 259–64. http://dx.doi.org/10.1016/j.ifacol.2024.09.185.

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Ceschia, Sara, and Andrea Schaerf. "Dynamic patient admission scheduling with operating room constraints, flexible horizons, and patient delays." Journal of Scheduling 19, no. 4 (2014): 377–89. http://dx.doi.org/10.1007/s10951-014-0407-8.

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Bolaji, Asaju La’aro, Akeem Femi Bamigbola, and Peter Bamidele Shola. "Late acceptance hill climbing algorithm for solving patient admission scheduling problem." Knowledge-Based Systems 145 (April 2018): 197–206. http://dx.doi.org/10.1016/j.knosys.2018.01.017.

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Bastos, Leonardo S. L., Janaina F. Marchesi, Silvio Hamacher, and Julia L. Fleck. "A mixed integer programming approach to the patient admission scheduling problem." European Journal of Operational Research 273, no. 3 (2019): 831–40. http://dx.doi.org/10.1016/j.ejor.2018.09.003.

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Range, Troels Martin, Richard Martin Lusby, and Jesper Larsen. "A column generation approach for solving the patient admission scheduling problem." European Journal of Operational Research 235, no. 1 (2014): 252–64. http://dx.doi.org/10.1016/j.ejor.2013.10.050.

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Rozprawy doktorskie na temat "Patient admission scheduling"

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Liu, Haichao. "Model-driven solution approaches for patient scheduling in admission and surgery management." Electronic Thesis or Diss., Angers, 2024. http://www.theses.fr/2024ANGE0022.

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La planification efficace des patients est essentielle pour améliorer l’efficacité des ressources médicales et la satisfaction des patients dans le système de santé. Cette thèse présente des modèles mathématiques et des approches de solution pour le problème de planification des admissions de patients statiques/stochastiques et le problème de planification des cas chirurgicaux dans des salles d’opération flexibles sous incertitude. En raison de la complexité de ces problèmes, qui impliquent de multiples contraintes et incertitudes, des méthodes de résolution innovantes telles que l’optimisatio
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Części książek na temat "Patient admission scheduling"

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Guido, Rosita, Vittorio Solina, and Domenico Conforti. "Offline Patient Admission Scheduling Problems." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67308-0_14.

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Guido, Rosita, Vittorio Solina, Giovanni Mirabelli, and Domenico Conforti. "Offline Patient Admission, Room and Surgery Scheduling Problems." In AIRO Springer Series. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00473-6_30.

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Oueslati, Imen, Moez Hammami, Issam Nouaouri, Ameni Azzouz, Lamjed Ben Said, and Hamid Allaoui. "A Honey Bee Mating Optimization HyperHeuristic for Patient Admission Scheduling Problem." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69257-4_7.

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Borchani, Rahma, Malek Masmoudi, Bassem Jarboui, and Patrick Siarry. "Heuristics-based on the Hungarian Method for the Patient Admission Scheduling Problem." In Operations Research and Simulation in Healthcare. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45223-0_2.

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Nikfarjam, Adel, Amirhossein Moosavi, Aneta Neumann, and Frank Neumann. "Computing High-Quality Solutions for the Patient Admission Scheduling Problem Using Evolutionary Diversity Optimisation." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14714-2_18.

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Gartner Daniel and Padman Rema. "Improving Hospital-Wide Early Resource Allocation through Machine Learning." In Studies in Health Technology and Informatics. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-564-7-315.

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The objective of this paper is to evaluate the extent to which early determination of diagnosis-related groups (DRGs) can be used for better allocation of scarce hospital resources. When elective patients seek admission, the true DRG, currently determined only at discharge, is unknown. We approach the problem of early DRG determination in three stages: (1) test how much a Naïve Bayes classifier can improve classification accuracy as compared to a hospital's current approach; (2) develop a statistical program that makes admission and scheduling decisions based on the patients' clincial
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Streszczenia konferencji na temat "Patient admission scheduling"

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MENDES, LÚCIO GALVÃO, PEDRO OLIVEIRA ONORIO, DJONATHAN LUIZ DE OLIVEIRA QUADRAS, DANILO RIBAMAR SÁ RIBEIRO, and ENZO MOROSINI FRAZZON. "A Novel Resilient Patient Admission Scheduling Conceptual Model." In International Joint Conference on Industrial Engineering and Operations Management. International Joint Conference on Industrial Engineering and Operations Management, 2024. http://dx.doi.org/10.14488/ijcieom2024_full_0057_37982.

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Zhang, Liming, Huiyou Chang, and Ruitian Xu. "The Patient Admission Scheduling of an Ophthalmic Hospital Using Genetic Algorithm." In 2nd International Conference on Computer and Information Applications (ICCIA 2012). Atlantis Press, 2012. http://dx.doi.org/10.2991/iccia.2012.1.

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Mazier, Alexandre, Xiaolan Xie, and Marianne Sarazin. "Scheduling inpatient admission under high demand of emergency patients." In 2010 IEEE International Conference on Automation Science and Engineering (CASE 2010). IEEE, 2010. http://dx.doi.org/10.1109/coase.2010.5584679.

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Bruballa, Eva, Alvaro Wong, Dolores Rexachs, Emilio Luque, and Francisco Epelde. "Scheduling model for non-critical patients admission into a hospital emergency department." In 2017 Winter Simulation Conference (WSC). IEEE, 2017. http://dx.doi.org/10.1109/wsc.2017.8248014.

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Kaixi, Wang, and Yang Fangchun. "A Dynamically Scheduling Policy with A Greedy Admission Control Algorithm Based on the Customer (Im)Patience." In 2007 Second International Conference on Communications and Networking in China. IEEE, 2007. http://dx.doi.org/10.1109/chinacom.2007.4469335.

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