Relevant bibliographies by topics / Operating Theatre Scheduling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Operating Theatre Scheduling'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Operating Theatre Scheduling"

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SPRATT, BELINDA. "REACTIVE OPERATING THEATRE SCHEDULING." Bulletin of the Australian Mathematical Society 98, no. 3 (August 15, 2018): 520–21. http://dx.doi.org/10.1017/s0004972718000631.

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Dekhici, L., and K. Belkadi. "Operating Theatre Scheduling Under Constraints." Journal of Applied Sciences 10, no. 14 (July 1, 2010): 1380–88. http://dx.doi.org/10.3923/jas.2010.1380.1388.

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Augusto, V., X. Xie, and V. Perdomo. "Operating theatre scheduling using Lagrangian relaxation." European J. of Industrial Engineering 2, no. 2 (2008): 172. http://dx.doi.org/10.1504/ejie.2008.017350.

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Stuart, Kari, and Erhan Kozan. "Reactive scheduling model for the operating theatre." Flexible Services and Manufacturing Journal 24, no. 4 (August 4, 2011): 400–421. http://dx.doi.org/10.1007/s10696-011-9111-6.

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Souki, Mejdi, and Abdelwaheb Rebai. "Heuristics for the Operating Theatre Planning and Scheduling." Journal of Decision Systems 19, no. 2 (January 2010): 225–52. http://dx.doi.org/10.3166/jds.19.225-252.

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Saadani, Nour El Houda, and Alain Guinet. "Heuristics for Operating Theatre Scheduling: Following the Patient." Supply Chain Forum: An International Journal 13, no. 1 (January 2012): 38–49. http://dx.doi.org/10.1080/16258312.2012.11517286.

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Roland, B., C. Di Martinelly, F. Riane, and Y. Pochet. "Scheduling an operating theatre under human resource constraints." Computers & Industrial Engineering 58, no. 2 (March 2010): 212–20. http://dx.doi.org/10.1016/j.cie.2009.01.005.

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Huang, Guo Xun, Wei Xiang, Chong Li, Qian Zheng, Shan Zhou, Bing Qian Shen, and Sai Feng Chen. "Surgical Scheduling Based on Hybrid Flow-Shop Scheduling." Applied Mechanics and Materials 201-202 (October 2012): 1004–7. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.1004.

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The efficient surgical scheduling of the operating theatre plays a significant role in hospital’s income and cost. Currently surgical scheduling only considered the surgery process in operating room and ignored other stages which should not be left out in real situations. The surgical scheduling problem is regarded as the hybrid flow-shop scheduling problem in this study. Each elective surgery which need local anesthesia has to go through a two-stage surgery procedure. Beds and operating rooms are represented as parallel machines. A mathematical model for such surgical scheduling problem is proposed and solved by LINGO. A case study with its optimal solution is also presented to verify the model.
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Fitzgerald, Anneke, and Yong Wu. "Beyond clinical priority: what matters when making operational decisions about emergency surgical queues?" Australian Health Review 41, no. 4 (2017): 384. http://dx.doi.org/10.1071/ah16009.

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Objective This paper describes the perceptions of operating theatre staff in Australia and The Netherlands regarding the influence of logistical or operational reasons that may affect the scheduling of unplanned surgical cases. It is proposed that logistical or operational issues can influence the priority determination of queue position of surgical cases on the emergency waiting list. Methods A questionnaire was developed and conducted in 15 hospitals across The Netherlands and Australia, targeting anaesthetists, managers, nurses and surgeons. Statistical analyses revolved around these four professional groups. Six hypotheses were then developed and tested based on the responses collected from the participants. Results There were significant differences in perceptions of logistics delay factors across different professional groups when patients were waiting for unplanned surgery. There were also significant differences among different groups when setting logistical priority factors for planning and scheduling unplanned cases. The hypotheses tests confirm these differences, and the findings concur with the paradigmatic differences mentioned in the literature. These paradigmatic differences among the four professional groups may explain some of the tensions encountered when making decisions about scheduling emergency surgical queues, and therefore should be taken into consideration for management of operating theatres. Conclusions Queue positions of patients waiting for unplanned surgery, or emergency surgery, are determined by medical clinicians according to clinicians’ indication of clinical priority. However, operating theatre managers are important in facilitating smooth operations when planning for emergency surgeries. It is necessary for surgeons to understand the logistical challenges faced by managers when requesting logistical priorities for their operations. What is known about the topic? Tensions exist about the efficient use of operating theatres and negotiating individual surgeon’s demands, especially between surgeons and managers, because in many countries surgeons only work in the hospital and not for the hospital. What does this paper add? The present study examined the logistical effects on functionality and purports the notion that, while recognising the importance of clinical precedence, logistical factors influence queue order to ensure efficient use of operating theatre resources. What are the implications for practitioners? The results indicate that there are differences in the perceptions of healthcare professionals regarding the sequencing of emergency patients. These differences may lead to conflicts in the decision making process about triaging emergency or unplanned surgical cases. A clear understanding of the different perceptions of different functional groups may help address the conflicts that often arise in practice.
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Goel, Raghav, Harsh Kanhere, and Markus Trochsler. "The 'Surgical Time': a myth or reality? Surgeons' prediction of operating time and its effect on theatre scheduling." Australian Health Review 44, no. 5 (2020): 772. http://dx.doi.org/10.1071/ah19222.

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ObjectiveIn Australia, 2.7 million surgical procedures were performed in the year 2016–17. This number is ever increasing and requires effective management of operating theatre (OT) time. Preoperative prediction of theatre time is one of the main constituents of OT scheduling, and anecdotal evidence suggests that surgeons grossly underestimate predicted surgical time. The aim of this study is to assess surgeons’ accuracy at predicting OT times across different specialties and effective theatre scheduling. MethodsA database was created with de-identified patient information from a 3-month period (late 2016). The collected data included variables such as the predicted time, actual surgery time, and type of procedure (i.e. Emergency or Elective). These data were used to make quantifiable comparisons. ResultsData were categorised into a ‘Theatre list’ and ‘Scopes list’. This was further compared as ‘Actual–Predicted’ time, which ranged from an average underestimation of each procedure by 19min (Ear Nose and Throat surgeons) to an average overprediction of 13.5min (Plastic Surgery). Urgency of procedures (i.e. Emergency and Elective procedures) did not influence prediction time for the ‘Theatre list’, but did so for the ‘Scopes list’ (P<0.001). Surgeons were poor at predicting OT times for complex operations and patients with high American Society of Anaesthesiologists grades. Overall, surgeons were fairly accurate with their OT prediction times across 1450 procedures, with an average underestimation of only 2.3 min. ConclusionsIn terms of global performance at The Queen Elizabeth Hospital institution, surgeons are fairly accurate at predicting OT times. Surgeons’ estimates should be used in planning theatre lists to avoid unnecessary over or underutilisation of resources. What is known about the topic?It is known that variables such as theatre changeover times and anaesthesia time are some of the factors that delay the scheduled start time of an OT. Furthermore, operating time depends on the personnel within the operating rooms such as the nursing staff, anaesthesiologists, team setup and day of time. Studies outside of Australia have shown that prediction models for OT times using individual characteristics and the surgeon’s estimate are effective. What does this paper add?This paper advocates for surgeons’ predicted OT time to be included in the process of theatre scheduling, which currently does not take place. It also provides analysis of a wide range of surgical specialties and assesses each professions’ ability to accurately predict the surgical time. This study encompasses a substantial number of procedures. Moreover, it compares endoscopic procedures separately to laparoscopic/open procedures. It contributes how different variables such as the urgency of procedure (Emergency/Elective), estimated length of procedure and patient comorbidities affect the prediction of OT time. What are the implications for practitioners?This will encourage hospital administrators to use surgeons’ predicted OT time in calculations for scheduling theatre lists. This will facilitate more accurate predictions of OT time and ensure that theatre lists are not over or underutilised. Moreover, surgeons will be encouraged to make OT time predictions with serious consideration, after understanding its effect on theatre scheduling and associated costs. Hence, the aim is to try to make an estimation of OT time, which is closer to the actual time required.
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Dissertations / Theses on the topic "Operating Theatre Scheduling"

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Spratt, Belinda G. "Reactive operating theatre scheduling." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/116885/1/Belinda_Spratt_Thesis.pdf.

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This project considers the planning and scheduling of an operating theatre at a large Australian public hospital, with the aim of reducing the length of elective surgery waiting lists. Operating theatre planning and scheduling is performed using an integrated approach, where specialties, surgeons, and patients are scheduled simultaneously. Hyper and hybrid metaheuristic techniques are presented, as the case study instances are too difficult for commercial solvers. Results indicate that these methods can be implemented in real-life to improve surgical departments at public hospitals by reducing surgical overtime, increasing patient throughput, and increasing operating theatre utilisation.
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Stuart, Kari Louise. "Using operations research methodologies to improve operating theatre scheduling." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/48697/1/Kari_Stuart_Thesis.pdf.

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A hospital consists of a number of wards, units and departments that provide a variety of medical services and interact on a day-to-day basis. Nearly every department within a hospital schedules patients for the operating theatre (OT) and most wards receive patients from the OT following post-operative recovery. Because of the interrelationships between units, disruptions and cancellations within the OT can have a flow-on effect to the rest of the hospital. This often results in dissatisfied patients, nurses and doctors, escalating waiting lists, inefficient resource usage and undesirable waiting times. The objective of this study is to use Operational Research methodologies to enhance the performance of the operating theatre by improving elective patient planning using robust scheduling and improving the overall responsiveness to emergency patients by solving the disruption management and rescheduling problem. OT scheduling considers two types of patients: elective and emergency. Elective patients are selected from a waiting list and scheduled in advance based on resource availability and a set of objectives. This type of scheduling is referred to as ‘offline scheduling’. Disruptions to this schedule can occur for various reasons including variations in length of treatment, equipment restrictions or breakdown, unforeseen delays and the arrival of emergency patients, which may compete for resources. Emergency patients consist of acute patients requiring surgical intervention or in-patients whose conditions have deteriorated. These may or may not be urgent and are triaged accordingly. Most hospitals reserve theatres for emergency cases, but when these or other resources are unavailable, disruptions to the elective schedule result, such as delays in surgery start time, elective surgery cancellations or transfers to another institution. Scheduling of emergency patients and the handling of schedule disruptions is an ‘online’ process typically handled by OT staff. This means that decisions are made ‘on the spot’ in a ‘real-time’ environment. There are three key stages to this study: (1) Analyse the performance of the operating theatre department using simulation. Simulation is used as a decision support tool and involves changing system parameters and elective scheduling policies and observing the effect on the system’s performance measures; (2) Improve viability of elective schedules making offline schedules more robust to differences between expected treatment times and actual treatment times, using robust scheduling techniques. This will improve the access to care and the responsiveness to emergency patients; (3) Address the disruption management and rescheduling problem (which incorporates emergency arrivals) using innovative robust reactive scheduling techniques. The robust schedule will form the baseline schedule for the online robust reactive scheduling model.
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Viscio, Francesca. "Algoritmi euristici per il Robust Operating Theatre Scheduling." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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La tesi affronta il problema dell'Operating Theatre Scheduling, ossia della pianificazione degli interventi nelle sale operatorie nell'orizzonte temporale di breve periodo. In lavori precedenti, è stato sviluppato un algoritmo euristico atto a fornire soluzioni robuste a particolari variazioni che possono alterare le durate medie di tali interventi rispetto a quelle deterministiche, misurate precedentemente. Sono state prese in considerazione, data una lista d'attesa di 1017 pazienti, 11 diverse istanze. Tali istanze, sono un campione della lista completa e su di esse sono stati effettuati veri test, considerando i possibili ritardi medi che gli interventi possono comportare. In relazione a ciò, si è ritenuto opportuno calcolare il tasso di saturazione medio delle sale operatorie a fronte di queste possibili variazioni. Uno step successivo è stato quello modificare una porzione di codice per apportare un ulteriore miglioramento, muovendosi verso un tipo di "ricerca locale": inserire dei buffer tra i diversi interventi in modo da assorbire al meglio eventuali ritardi. Sono stati riportati e commentati i risultati computazionali delle diverse casistiche considerate e proposti ulteriori sviluppi futuri.
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Caliendo, Mara. "Modelli e algoritmi per l'Operating Theatre Scheduling." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Negli ultimi anni i presidi ospedalieri hanno dovuto fronteggiare una domanda crescente di servizi, pur avendo a disposizione un budget di spesa sanitaria limitato. In questo contesto nasce la ricerca di approcci innovativi per ottimizzare la gestione delle risorse e delle attività coinvolte nei blocchi ospedalieri. Una delle strutture più critiche da gestire è l’unità chirurgica, caratterizzata da costi molti elevati e da un significativo rischio clinico per il paziente. A fronte di tale criticità nasce e si sviluppa la disciplina dell’Operating Room Management. In questo lavoro di tesi è stato trattato uno dei principali problemi legati a questa disciplina: L’Operating Theatre Scheduling. Tale problema parte da una lista d’attesa in cui sono presenti tutti i pazienti che devono subire un intervento chirurgico. L’operazione di Scheduling consiste nella selezione e programmazione di questi interventi nelle diverse sale del blocco operatorio, su un orizzonte temporale definito. In particolare il problema è stato esaminato utilizzando dati reali provenienti da un importante presidio ospedaliero dell’Emilia Romagna. Nel corso di questo elaborato sono stati studiati due diversi approcci risolutivi: un modello matematico processato con AMPL e un algoritmo euristico. Entrambi gli approcci sono volti al raggiungimento di obiettivo quali: 1 La schedulazione di molti pazienti, dando la priorità ai pazienti più urgenti in modo da evitare sforamenti della deadline e ridurre i tempi di attesa in lista 2 La saturazione delle sale operatorie 3 Il miglioramento dell’utilizzo delle sale, evitando di schedulare in sala operatoria trattamenti pre e post operatori che avrebbero potuto svolgersi nelle sale dedicate.
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Penn, Marion Louise. "Developing a multi-methodological approach to hospital operating theatre scheduling." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/366470/.

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Operating theatres and surgeons are among the most expensive resources in any hospital, so it is vital that they are used efficiently. Due to the complexity of the challenges involved in theatre scheduling we split the problem into levels and address the tactical and day-to-day scheduling problems. Cognitive mapping is used to identify the important factors to consider in theatre scheduling and their interactions. This allows development and testing of our understanding with hospital staff, ensuring that the aspects of theatre scheduling they consider important are included in the quantitative modelling. At the tactical level, our model assists hospitals in creating new theatre timetables, which take account of reducing the maximum number of beds required, surgeons’ preferences, surgeons’ availability, variations in types of theatre and their suitability for different types of surgery, limited equipment availability and varying the length of the cycle over which the timetable is repeated. The weightings given to each of these factors can be varied allowing exploration of possible timetables. At the day-to-day scheduling level we focus on the advanced booking of individual patients for surgery. Using simulation a range of algorithms for booking patients are explored, with the algorithms derived from a mixture of scheduling literature and ideas from hospital staff. The most significant result is that more efficient schedules can be achieved by delaying scheduling as close to the time of surgery as possible, however, this must be balanced with the need to give patients adequate warning to make arrangements to attend hospital for their surgery. The different stages of this project present different challenges and constraints, therefore requiring different methodologies. As a whole this thesis demonstrates that a range of methodologies can be applied to different stages of a problem to develop better solutions.
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Radulovic, Igor, and Timmie Abrahamsson. "The Impact Of Optimized Scheduling Within The Swedish Operating Theatre." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18265.

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Improved utilization of scarce resources such as health care personnel is necessary to address well-known problem of long waiting times within the health care. Implementing mathematically modeled scheduling in the operating theatre has the potential to result in more efficient allocation of resources and financial gains. Despite the promising results, the adoption rate of such models is low. This thesis examines the impact of a mixed-integer linear programming model using an overlapping strategy. We perform a computational experiment where both sequential and parallel schedules are produced with real surgery data from an orthopedic department at a Swedish university hospital. The generated schedules are compared against each other in measurements of cost productivity. Statistical analysis shows that there is a statistical significant difference between the two schedules, favoring the optimized schedule. The results further suggest that three operating rooms and four surgery teams is the most optimal combination of the 18 combinations analyzed, where operating rooms and surgery teams varies between 1-4 and 1-6, respectively.
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Velásquez, Flores Jorge Rafael. "Hierarchical multi-criteria operating theatre scheduling solving the tactical, operational and online planning problems with mathematical programming." Tönning Lübeck Marburg Der Andere Verl, 2008. http://d-nb.info/995846022/04.

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Hallmann, Frank. "Optimizing operational and logistical planning in a theater of operations." Thesis, Monterey, Calif. : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Jun/09Jun%5FHallmann.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2009.
Thesis Advisor(s): Brown, Gerald G. "June 2009." Description based on title screen as viewed on July 10, 2009. Author(s) subject terms: Optimization, Navy Logistics, Operational Planning , Navy Mission Planner, Combat Logistic Force Planner, Ship scheduling, Optimization decision aid, Integer Programming, Mathematical Programming. Includes bibliographical references (p. 71-72). Also available in print.
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Bouguerra, Afef. "Optimisation et aide à la décision pour la programmation des opérations électives et urgentes." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0171/document.

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Au sein d’un établissement hospitalier, le bloc opératoire représente un des secteurs les plus emblématiques et les plus coûteux. Le fonctionnement du bloc opératoire est orchestré par un programme opératoire qui consiste à construire un planning prévisionnel des interventions chirurgicales à réaliser pendant un horizon donné. La littérature abondante sur le sujet est unanime sur le fait que la construction du programme opératoire est une tâche complexe, car il s’agit non seulement de planifier et d’ordonnancer les interventions, mais aussi de satisfaire des exigences souvent antagonistes. Ce projet est le fruit d’une collaboration entre la Communauté d’Agglomération de Sarreguemines Confluences et la Région Lorraine, des membres du secteur hospitalier (Hôpital Robert Pax de Sarreguemines) et l’équipe Gestion Industrielle et Logistique (GIL) du Laboratoire de Génie Industriel, de Production et de Maintenance (LGIPM). L’objectif de cette recherche est d’apporter une aide aux gestionnaires du bloc opératoire, qui ont besoin de plus en plus des méthodes et des outils d’aide à la décision en vue d’optimiser leur fonctionnement. Pour répondre à ce besoin nous nous intéressons dans la première partie de cette thèse à la gestion des opérations électives en prenant en compte différentes contraintes et en particulier la disponibilité des chirurgiens. Nous nous plaçons dans le contexte d’une stratégie « open scheduling » et nous proposons deux modèles mathématiques permettant d’élaborer le programme opératoire. La complexité des modèles mathématiques et leur explosion combinatoire rendent difficile la recherche de l’optimum pour des tailles réalistes. Ceci nous a donc amené à proposer une heuristique constructive utilisant le modèle proposé et permettant d’obtenir des solutions là où la méthode exacte ne nous le permettait pas. Dans la seconde partie de cette thèse, nous considérons l’intégralité du processus opératoire (brancardage vers le bloc opératoire, préparation et anesthésie, acte chirurgicale et réveil). Nous modélisons ce processus comme un flow shop hybride à 4 étages avec contrainte de blocage de type RSb, et nous le résolvons à l’aide d’un algorithme génétique dont l’objectif est de synchroniser toutes les ressources nécessaires, en respectant au mieux le programme opératoire prévisionnel. Outre les opérations électives, nous nous intéressons dans la dernière partie aux opérations urgentes. Nous proposons un outil d’aide à la décision pour la gestion des opérations urgentes. En prenant en considération la pathologie et la gravité de l’état du patient, nous distinguons principalement 3 degrés d’urgences et proposons pour chacune un algorithme permettant d’intégrer en temps réel ces opérations dans le programme prévisionnel, tout en minimisant différents critères (temps d’attente avant affectation, heures supplémentaires, décalage par rapport aux anciennes dates de débuts)
The operating theater is one of the most critical and expensive hospital resources. Indeed, a high percentage of hospital admissions are due to surgical interventions. Rising expenditures spur health care organizations to organize their processes more efficiently and effectively. This thesis is supported by the urban community of Sarreguemines-France and the region of Lorraine-France, and is carried out in collaboration with the Centre Hospitalier de Sarreguemines - Hôpital Robert Pax. In the first part of this work, we propose two mathematical programming models to help operating theater managers in developing an optimal operating rooms scheduling. We also propose a constructive heuristic to obtain near optimal results for realistic sizes of the problem. In the second part of our work, the whole scheduling process is modeled as a hybrid four-stage flow shop problem with RSb blocking constraint, and is solved by a genetic algorithm. The objective is to synchronize all the needed resources around the optimal daily schedule obtained with the proposed mathematical model. The last part of our work is dedicated to non-elective surgeries. We propose a decision support tool, guiding the operating room manager, to handle this unpredictable flow of patients. Non-elective patients are classified according to their medical priority. The main contribution of the proposed decision support tool is to provide online assignment strategies to treat each non elective patient category. Proposed assignments are riskless on patient’s health. According to non-elective surgery classes, the proposed adjusted schedule minimizes different criteria such as patient’s waiting time, deviation from the firstly scheduled starting time of a surgery and the amount of resulting overtime
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Naldini, Federico. "Algoritmi Euristici per la Schedulazione degli Interventi nel Blocco Operatorio." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11685/.

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Questa tesi riguarda il problema della schedulazione degli interventi nel blocco operatorio di un presidio ospedaliero, noto anche come Operating Theatre Planning & Scheduling. Il blocco operatorio è la struttura che eroga servizi a più alto impatto sui costi di un presidio ospedaliero ed è legato ad attività ad alto rischio. E' quindi fondamentale gestire in modo ottimale questa risorsa. In questa tesi, si considera come caso studio l'applicazione reale di un presidio ospedaliero dell'Emilia Romagna con un orizzonte temporale di una settimana, ovvero la cosiddetta programmazione operativa. L'obiettivo è quello di ottenere un utilizzo efficiente del blocco operatorio, garantendo al contempo la priorità agli interventi più urgenti. Data la complessità del problema, vengono proposti algoritmi euristici che permettano di ottenere buone soluzioni in tempi di calcolo ridotti. Studi precedenti hanno infatti evidenziato la difficoltà di trovare soluzioni ottime al problema, mediante l'utilizzo di solver commerciali per modelli di Programmazione Lineare Intera, senza introdurre ipotesi semplificative. Sono stati elaborati tre algoritmi euristici costruttivi di tipo multi-start che permettono di generare soluzioni ammissibili con diverse caratteristiche. Gli algoritmi si differenziano principalmente per le modalità con cui collocano gli interventi nel tempo disponibile delle risorse (induction room, operating room, recovery room), cercando di migliorarne l’utilizzazione e dando priorità ai pazienti più urgenti. Gli algoritmi sono stati implementati utilizzando il linguaggio JAVA e sono stati testati su istanze realistiche fornite dal presidio ospedaliero. I risultati hanno evidenziato un alto grado di utilizzazione delle sale operatorie, un fattore molto rilevante per una ottimale gestione del blocco operatorio. E' stata, infine, svolta un'analisi di sensitività alla variabilità delle durate.
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Books on the topic "Operating Theatre Scheduling"

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Owens, Bernadette. The attitudes of consultant surgeons to the introduction of an operating theatre scheduling system. [s.l: The Author], 1996.

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Book chapters on the topic "Operating Theatre Scheduling"

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Hans, Erwin W., and Peter T. Vanberkel. "Operating Theatre Planning and Scheduling." In Handbook of Healthcare System Scheduling, 105–30. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-1734-7_5.

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Chaari, Tarek, and Imen Omezine. "A Bi-objective Algorithm for Robust Operating Theatre Scheduling." In Operations Research and Simulation in Healthcare, 63–80. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45223-0_3.

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Saleh, Bilal Bou, Ghazi Bou Saleh, and Oussama Barakat. "Operating Theater Management System: Block-Scheduling." In Artificial Intelligence and Data Mining in Healthcare, 83–98. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45240-7_5.

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Beroule, Benoit, Olivier Grunder, Oussama Barakat, Olivier Aujoulat, and Helene Lustig. "Particle Swarm Optimization for Operating Theater Scheduling Considering Medical Devices Sterilization." In Swarm Intelligence Based Optimization, 41–56. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50307-3_3.

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Bou Saleh, Bilal, Abdallah El Moudni, Mohammad Hajjar, and Oussama Barakat. "A Multi-Agent Architecture for Dynamic Scheduling of Emergencies in Operating Theater." In Advances in Intelligent Systems and Computing, 1256–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01057-7_95.

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Han, Low Qiau, Suliadi F. Sufahani, and Mohd Fahmy-Abdullah. "Analyze Scheduling Problem on Operation Theatre in Malaysian Public Hospital Using Integer Linear Programming Method." In Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, 313–27. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7597-3_25.

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Fitzgerald, Janna Anneke, Martin Lum, and Ann Dadich. "How Human Technology Improve the Scheduling of Unplanned Surgical Cases." In Encyclopedia of Healthcare Information Systems, 686–94. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-889-5.ch087.

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Human technology in health care includes managerial knowledge required to marshal a health care workforce, operate hospitals and equipment, obtain and administer funds, and, increasingly, identify and establish markets. In this article, the authors focus on human technology and improvement of decision-making processes in the context of operating theatre scheduling of unplanned surgical cases. Unplanned surgery refers to unscheduled and unexpected surgical procedures in distinction to planned, elective surgery. The management of unplanned surgery is a strategic function in hospitals with potential clinical, administrative, economical, social, and political implications. Making health care management decisions is complex due to the multidisciplinary and the multifocussed nature of decision-making processes. The complexity of multidisciplinary and multifocussed decision-making is further exacerbated by perceived professional identity differences. This article presents findings from interviews with doctors and nurses about the scheduling of unplanned surgical cases. The interviews focused on current decision- making determinants, the acceptability of using a model to guide decision-making, and enablers and barriers to implementing the model. The key finding was the limited practicality of a model to guide the scheduling of unplanned surgery. While it could guide decisions around clinical determinants, logistical determinants, and ideal timeframes, it would have difficulty reshaping inter- and intra-professional dynamics.
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Dekhici, Latifa, Khaled Guerraiche, and Khaled Belkadi. "Bat Algorithm With Generalized Fly for Combinatorial Production Optimization Problems." In Technological Innovations in Knowledge Management and Decision Support, 34–66. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6164-4.ch003.

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A set of metaheuristics has proved its efficiency in solving rapidly NP-hard problems. Several combinatorial and continuous optimization areas drew profit from these powerful alternative techniques. This chapter intends to describe a discrete version of bat algorithm (BA) combined to generalized walk evolutionary (GEWA), also called bat algorithm with generalized fly or walk (BAG) in order to solve discrete industrial optimization. The first case of study is the well-known hybrid flow shop scheduling. The second one concerns the operating theatre that represents a critical manufacturing system, as the products delivered are patients. The last problem is the redundancy optimization (ROP) for series-parallel multi-state power system (MSS). Its resolution involves the selection of components with an appropriate level of redundancy to maximize system reliability with constrained cost. A universal moment generating function (UMGF) is used to estimate reliabilities. The modified bat algorithm on specific benchmarks was compared with the original one, and other results taken from the literature of each case study.
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Gomes, Carlos, Fabrício Sperandio, Arnon Peles, José Borges, António Carvalho Brito, and Bernardo Almada-Lobo. "An Operating Theater Planning Decision Support System." In Information Systems and Technologies for Enhancing Health and Social Care, 69–86. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3667-5.ch005.

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The operating theater is the biggest hospital budget expenditure. The usage of surgery related resources and its intrinsic planning must be carefully devised in order to achieve better operational performance. However, from long to short term planning, the decision processes inherent to the operating theater are often the subject of empiricism. Moreover, the current hospital information systems available in Portuguese public hospitals lack a decision support system component, which could assist in achieving better planning solutions. This work reports the development of a centralized system for the operating theater planning to support decision-making tasks of surgeons, chief specialty managers, and hospital administration. Its main components concern surgery scheduling, operating theater’s resource allocation and performance measurement. The enhancement of the planning processes, the increase of policy compliance, and the overall performance of the operating theater compared to the former methodologies are also discussed.
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Gomes, Carlos, Fabrício Sperandio, Arnon Peles, José Borges, António Carvalho Brito, and Bernardo Almada-Lobo. "An Operating Theater Planning Decision Support System." In Healthcare Administration, 868–85. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6339-8.ch045.

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The operating theater is the biggest hospital budget expenditure. The usage of surgery related resources and its intrinsic planning must be carefully devised in order to achieve better operational performance. However, from long to short term planning, the decision processes inherent to the operating theater are often the subject of empiricism. Moreover, the current hospital information systems available in Portuguese public hospitals lack a decision support system component, which could assist in achieving better planning solutions. This work reports the development of a centralized system for the operating theater planning to support decision-making tasks of surgeons, chief specialty managers, and hospital administration. Its main components concern surgery scheduling, operating theater's resource allocation and performance measurement. The enhancement of the planning processes, the increase of policy compliance, and the overall performance of the operating theater compared to the former methodologies are also discussed.
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Conference papers on the topic "Operating Theatre Scheduling"

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Perdomo, Viviana, Vincent Augusto, and Xiaolan Xie. "Operating Theatre Scheduling Using Lagrangian Relaxation." In 2006 International Conference on Service Systems and Service Management. IEEE, 2006. http://dx.doi.org/10.1109/icsssm.2006.320685.

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Lamiri, Mehdi, Vincent Augusto, and Xiaolan Xie. "Patients scheduling in a hospital operating theatre." In 2008 IEEE International Conference on Automation Science and Engineering (CASE 2008). IEEE, 2008. http://dx.doi.org/10.1109/coase.2008.4626529.

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Mc Mahon, David, and Joseph Walsh. "Operating Theatre Scheduling Using Optimisation Algorithms and Techniques: A Review." In 2019 30th Irish Signals and Systems Conference (ISSC). IEEE, 2019. http://dx.doi.org/10.1109/issc.2019.8904955.

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Fei, Hongying, Nadine Meskens, and Chengbin Chu. "An operating theatre planning and scheduling problem in the case of a "block scheduling" strategy." In 2006 International Conference on Service Systems and Service Management. IEEE, 2006. http://dx.doi.org/10.1109/icsssm.2006.320500.

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Grand Girard, Emilie, Christine Gertosio, and Alain Dussauchoy. "An operating theatre planning and scheduling problem in the case of a "block scheduling" strategy [PDF Not Yet Available In IEEE Xplore]." In 2006 International Conference on Service Systems and Service Management. IEEE, 2006. http://dx.doi.org/10.1109/icsssm.2006.320499.

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Keyhanian, Sina, Abbas Ahmadi, and Behrooz Karimi. "An Integrated Model of Scheduling and Configuration of the Operating Theater." In 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2018. http://dx.doi.org/10.1109/codit.2018.8394879.

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Dekhici, Latifa, and Khaled Belkadi. "Bi-objective Operating Theater scheduling case of the paediatric hospital of Oran." In 2014 International Conference on Logistics and Operations Management (GOL). IEEE, 2014. http://dx.doi.org/10.1109/gol.2014.6887438.

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You might also be interested in the extended bibliographies on the topic 'Operating Theatre Scheduling' for particular source types:
Journal articles
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