IDEAS home Printed from https://ideas.repec.org/r/eee/ejores/v265y2018i1p1-18.html

State of the art in physician scheduling

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Jonathan Patrick & Amine Montazeri & Wojtek Michalowski & Diponkar Banerjee, 2019. "Automated Pathologist Scheduling at The Ottawa Hospital," Interfaces, INFORMS, vol. 49(2), pages 93-103, March.
  2. Eduardo Pérez & David P. Dzubay, 2021. "A scheduling-based methodology for improving patient perceptions of quality of care in intensive care units," Health Care Management Science, Springer, vol. 24(1), pages 203-215, March.
  3. David Rea & Craig Froehle & Suzanne Masterson & Brian Stettler & Gregory Fermann & Arthur Pancioli, 2021. "Unequal but Fair: Incorporating Distributive Justice in Operational Allocation Models," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2304-2320, July.
  4. Eduardo Pérez, 2022. "An Appointment Planning Algorithm for Reducing Patient Check-In Waiting Times in Multispecialty Outpatient Clinics," SN Operations Research Forum, Springer, vol. 3(3), pages 1-22, September.
  5. Bieri, Manuel & Matt, Christian, 2025. "Algorithmic Fairness in Shift Scheduling – Assessing the Fairness Perceptions of Healthcare Workers," OSF Preprints 7ghya_v1, Center for Open Science.
  6. Lotfi Hidri & Achraf Gazdar & Mohammed M. Mabkhot, 2020. "Optimized Procedure to Schedule Physicians in an Intensive Care Unit: A Case Study," Mathematics, MDPI, vol. 8(11), pages 1-24, November.
  7. Steven Shechter, 2023. "Case Article—Pediatrician Scheduling at British Columbia Women’s Hospital," INFORMS Transactions on Education, INFORMS, vol. 24(1), pages 35-39, September.
  8. Damcı-Kurt, Pelin & Zhang, Minjiao & Marentay, Brian & Govind, Nirmal, 2019. "Improving physician schedules by leveraging equalization: Cases from hospitals in U.S," Omega, Elsevier, vol. 85(C), pages 182-193.
  9. Wolbeck, Lena Antonia, 2019. "Fairness aspects in personnel scheduling," Discussion Papers 2019/16, Free University Berlin, School of Business & Economics.
  10. Sinha, Priyank & Kumar, Sameer & Garg, Chandra Prakash & Chandra, Charu, 2025. "A novel framework for optimizing job rotation schedules across industries," Omega, Elsevier, vol. 132(C).
  11. Akbarzadeh, Babak & Maenhout, Broos, 2025. "A dedicated branch-price-and-cut algorithm for advance patient planning and surgeon scheduling," European Journal of Operational Research, Elsevier, vol. 322(2), pages 448-466.
  12. Melanie Erhard, 2021. "Flexible staffing of physicians with column generation," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 212-252, March.
  13. Wang, Fan & Zhang, Chao & Zhang, Hui & Xu, Liang, 2021. "Short-term physician rescheduling model with feature-driven demand for mental disorders outpatients," Omega, Elsevier, vol. 105(C).
  14. Frederick M Howard & Catherine A Gao & Christopher Sankey, 2020. "Implementation of an automated scheduling tool improves schedule quality and resident satisfaction," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-9, August.
  15. Renata Mansini & Roberto Zanotti, 2020. "Optimizing the physician scheduling problem in a large hospital ward," Journal of Scheduling, Springer, vol. 23(3), pages 337-361, June.
  16. Na Li & Xiaorui Li & Paul Forero, 2022. "Physician scheduling for outpatient department with nonhomogeneous patient arrival and priority queue," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 879-915, December.
  17. Zerui Wu & Ran Liu & Ershun Pan, 2023. "Server Routing-Scheduling Problem in Distributed Queueing System with Time-Varying Demand and Queue Length Control," Transportation Science, INFORMS, vol. 57(5), pages 1209-1230, September.
  18. Kai Sun & Minghe Sun & Deepak Agrawal & Ronald Dravenstott & Frank Rosinia & Arkajyoti Roy, 2023. "Equitable anesthesiologist scheduling under demand uncertainty using multiobjective programming," Production and Operations Management, Production and Operations Management Society, vol. 32(11), pages 3699-3716, November.
  19. Jan Schoenfelder & Christian Pfefferlen, 2018. "Decision Support for the Physician Scheduling Process at a German Hospital," Service Science, INFORMS, vol. 10(3), pages 215-229, September.
  20. Yuli Wang & Wenjuan Fan & Shaowen Lan & Shuwan Zhu & Jianmei Du, 2025. "An integrated operating room and physician scheduling problem solved by a hybrid variable neighborhood search-based algorithm," Journal of Combinatorial Optimization, Springer, vol. 50(1), pages 1-35, August.
  21. Daniel Garcia-Vicuña & Laida Esparza & Fermin Mallor, 2022. "Hospital preparedness during epidemics using simulation: the case of COVID-19," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 213-249, March.
  22. Marchesi, Janaina F. & Hamacher, Silvio & Peres, Igor Tona, 2025. "Stochastic model for physician staffing and scheduling in emergency departments with multiple treatment stages," European Journal of Operational Research, Elsevier, vol. 324(2), pages 492-505.
  23. Paola Cappanera & Filippo Visintin & Roberta Rossi, 2022. "The emergency department physician rostering problem: obtaining equitable solutions via network optimization," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 916-959, December.
  24. Safae Er-Rbib & Guy Desaulniers & Issmail Elhallaoui & Patrick Munroe, 2021. "Preference-based and cyclic bus driver rostering problem with fixed days off," Public Transport, Springer, vol. 13(2), pages 251-286, June.
  25. Sebastian Kling & Sebastian Kraul & Jens O. Brunner, 2024. "Customized GRASP for rehabilitation therapy scheduling with appointment priorities and accounting for therapist satisfaction," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(3), pages 821-872, September.
  26. Kraul, Sebastian & Brunner, Jens O., 2023. "Stable annual scheduling of medical residents using prioritized multiple training schedules to combat operational uncertainty," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1263-1278.
  27. Sebastian Kraul, 2020. "Annual scheduling for anesthesiology medicine residents in task-related programs with a focus on continuity of care," Flexible Services and Manufacturing Journal, Springer, vol. 32(1), pages 181-212, March.
  28. Sandeep Rath & Kumar Rajaram & Mark E. Hudson & Aman Mahajan, 2026. "Multilocation, Dynamic Staff Planning for a Healthcare System: Methodology and Application," Operations Research, INFORMS, vol. 74(1), pages 199-223, January.
  29. Hainan Guo & Haobin Gu & Yu Zhou & Jiaxuan Peng, 2022. "A data-driven multi-fidelity simulation optimization for medical staff configuration at an emergency department in Hong Kong," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 238-262, June.
  30. Caballini, Claudia & Paolucci, Massimo, 2020. "A rostering approach to minimize health risks for workers: An application to a container terminal in the Italian port of Genoa," Omega, Elsevier, vol. 95(C).
  31. Milena Grieger & Steffen Heider & Sebastian McRae & Thomas Koperna & Jens O. Brunner, 2024. "Managing the patient portfolio using mathematical programming: decision support guidelines using a real-world use case at a university hospital," Journal of Business Economics, Springer, vol. 94(9), pages 1245-1260, November.
  32. Aygül, Özge & Hellgren, Teodor & Azizi, Shima & Trapp, Andrew C., 2026. "A predict-and-prescribe framework for dynamic course scheduling toward strategic university scaling," Omega, Elsevier, vol. 138(C).
  33. Elín Björk Böðvarsdóttir & Thomas Stidsen, 2026. "A review of multi-objective optimization methods for personnel rostering problems," Journal of Scheduling, Springer, vol. 29(1), pages 1-19, February.
  34. Kraul, Sebastian & Fügener, Andreas & Brunner, Jens O. & Blobner, Manfred, 2019. "A robust framework for task-related resident scheduling," European Journal of Operational Research, Elsevier, vol. 276(2), pages 656-675.
  35. Toni I. Wickert & Alberto F. Kummer Neto & Márcio M. Boniatti & Luciana S. Buriol, 2021. "An integer programming approach for the physician rostering problem," Annals of Operations Research, Springer, vol. 302(2), pages 363-390, July.
  36. Wang, Xiuxian & Matta, Andrea & Geng, Na & Zhou, Liping & Jiang, Zhibin, 2025. "Simulation-based emergency department staffing and scheduling optimization considering part-time work shifts," European Journal of Operational Research, Elsevier, vol. 321(2), pages 631-643.
  37. Mohammad Saeed Heidary & Devika Kannan & Saeid Dehghani & Hassan Mina, 2025. "A decision support system for physician scheduling during a public health crisis: a mathematical programming model," Annals of Operations Research, Springer, vol. 351(3), pages 1831-1881, August.
  38. Dina Bentayeb & Nadia Lahrichi & Louis-Martin Rousseau, 2023. "On integrating patient appointment grids and technologist schedules in a radiology center," Health Care Management Science, Springer, vol. 26(1), pages 62-78, March.
  39. Farzad Zaerpour & Marco Bijvank & Huiyin Ouyang & Zhankun Sun, 2022. "Scheduling of Physicians with Time‐Varying Productivity Levels in Emergency Departments," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 645-667, February.
  40. Kraul, Sebastian & Erhard, Melanie & Brunner, Jens O., 2024. "Optimizing physician schedules with resilient break assignments," Omega, Elsevier, vol. 129(C).
  41. Beliën, Jeroen & Brailsford, Sally & Demeulemeester, Erik & Demirtas, Derya & Hans, Erwin W. & Harper, Paul, 2025. "Fifty years of operational research applied to healthcare," European Journal of Operational Research, Elsevier, vol. 326(2), pages 189-206.
  42. Christopher N. Gross & Jens O. Brunner & Manfred Blobner, 2019. "Hospital physicians can’t get no long-term satisfaction – an indicator for fairness in preference fulfillment on duty schedules," Health Care Management Science, Springer, vol. 22(4), pages 691-708, December.
  43. Shutian Li & Karmel S. Shehadeh & Frank E. Curtis & Beth R. Hochman, 2025. "Equity-promoting integer programming approaches for medical resident rotation scheduling," Health Care Management Science, Springer, vol. 28(4), pages 890-929, December.
  44. Andreas Fügener & Jens O. Brunner, 2019. "Planning for Overtime: The Value of Shift Extensions in Physician Scheduling," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 732-744, October.
  45. Liu, Ran & Zhou, Bo & Wang, Shiming & Ouyang, Huiyin, 2025. "Physician scheduling in case managers style emergency departments: machine learning-aided solution approaches," European Journal of Operational Research, Elsevier, vol. 327(1), pages 326-339.
  46. Fabian Schäfer & Manuel Walther & Dominik G. Grimm & Alexander Hübner, 2023. "Combining machine learning and optimization for the operational patient-bed assignment problem," Health Care Management Science, Springer, vol. 26(4), pages 785-806, December.
  47. Man Yiu Tsang & Karmel S. Shehadeh & Frank E. Curtis & Beth R. Hochman & Tricia E. Brentjens, 2025. "Stochastic Optimization Approaches for an Operating Room and Anesthesiologist Scheduling Problem," Operations Research, INFORMS, vol. 73(3), pages 1430-1458, May.
  48. Lukas Berthold & Malte Fliedner & Arne Schulz, 2025. "A shift scheduling model for ridepooling services," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 47(2), pages 349-373, June.
  49. Shaowen Lan & Wenjuan Fan & Kaining Shao & Shanlin Yang & Panos M. Pardalos, 2022. "A column-generation-based approach for an integrated service planning and physician scheduling problem considering re-consultation," Journal of Combinatorial Optimization, Springer, vol. 44(5), pages 3446-3476, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.