publication . Doctoral thesis . 2015

Timely and efficient planning of treatments through intelligent scheduling

Braaksma, Aleida;
Open Access English
  • Published: 25 Sep 2015
  • Publisher: Centre for Telematics and Information Technology (CTIT)
Abstract
When people experience health problems, this often leads to a period of concern and stress. Both for patients’ physical and mental well-being, it is essential that healthcare processes are organized in the best possible way. This thesis aims to support hospitals in realizing excellent quality of patient service, whilst utilizing resources efficiently. By developing methodologies based on techniques from operations research, also known as mathematical decision theory, the research presented provides decision support for the planning and scheduling of healthcare processes. Three specific challenges are addressed in the three parts this thesis consists of. Part I f...
Subjects
acm: InformationSystems_GENERAL
free text keywords: Diagnostic services, Surgical block schedule, One-stop-shop, Patient flow, Online appointment scheduling, Wards, Staffing, flexibility, Nursing workload, Workforce planning, Heuristics, Inpatient care, Stochastic models, multidisciplinary treatment, Markov Processes, Computer Simulation, Surgical care, Hospital, Resource capacity planning and control, Nurse-to-patient assignment, Queueing Theory, Outpatient care, Bed occupancy, Health services accessibility, EWI-26264, Literature Review, Quality of care, METIS-311610, Mathematical Programming, Capacity dimensioning, Operations Research, Health care management, Emergency care, Rehabilitation care, Patient-centeredness, IR-97139
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Universiteit Twente Repository
Doctoral thesis . 2015
Provider: NARCIS
28 references, page 1 of 2

[513] P.D. Wright, K.M. Bretthauer, and M.J. Côté. Reexamining the nurse scheduling problem: staffing ratios and nursing shortages. Decision Sciences, 37(1):39-70, 2006.

[514] S. Wu and D. Kotak. Agent-based collaborative project management system for distributed manufacturing. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, volume 2, pages 1223-1228, Washington, DC, 2003.

[515] X.D. Wu, M.T. Khasawneh, D.M. Yue, Y.N. Chu, and Z.T. Gao. A simulation study of outpatient scheduling with multiple providers and a single device. International Journal of Computational Intelligence Systems, 7(supplement 2):15-25, 2014.

[516] P. Xiao, P. Qu, and X. Qu. An adaptive redundant reservation strategy in distributed high-performance computing environments. International Journal of Hybrid Information Technology, 6(6):51-64, 2013.

[517] C. Yan, J. Tang, and B. Jiang. Sequential appointment scheduling considering walk-in patients. Mathematical Problems in Engineering, 2014:Article ID 564832, 2014.

[518] K.K. Yang, M.L. Lau, and S.A. Quek. A new appointment rule for a single-server, multiplecustomer service system. Naval Research Logistics, 45(3):313-326, 1998.

[519] M. Yang and X. Lu. On-line and semi-online scheduling for flow shop problems on two machines. Optimization, 62(4):499-507, 2013.

[520] R. Yang, S. Bhulai, R. van der Mei, and F. Seinstra. Optimal resource allocation for timereservation systems. Performance Evaluation, 68(5):414-428, 2011.

[521] Y. Yang, W. Jin, and X. Hao. Car rental logistics problem: a review of literature. In Proceedings of the IEEE International Conference on Service Operations and Logistics, and Informatics, volume 2, pages 2815-2819, Beijing, China, 2008.

[522] N. Yankovic and L.V. Green. Identifying good nursing levels: a queuing approach. Operations Research, 59(4):942-955, 2011.

[523] D. Ye and G. Zhang. On-line scheduling with extendable working time on a small number of machines. Information Processing Letters, 85(4):171-177, 2003.

[524] H.J. Yoon and D.Y. Lee. Online scheduling of integrated single-wafer processing tools with temporal constraints. IEEE Transactions on Semiconductor Manufacturing, 18(3): 390-398, 2005.

[525] L. Yuan, C.K. Tham, and A.L. Ananda. A probing approach for effective distributed resource reservation. In M.A. Marsan, G. Corazza, M. Listanti, and A. Roveri, editors, Quality of Service in Multiservice IP Networks, volume 2601 of Lecture Notes in Computer Science, pages 672-688. Springer-Verlag, Berlin Heidelberg, Germany, 2003. [OpenAIRE]

[526] C. Zacharias and M. Armony. Joint panel sizing and appointment scheduling in outpatient care. Working paper (available at: http://people.stern.nyu.edu/cz464), Stern School of Business, New York University, New York, NY, 2015.

[527] C. Zacharias and M. Pinedo. Managing customer arrivals in service systems with multiple servers. Working paper (available at: http://ssrn.com), Stern School of Business, New York University, New York, NY, 2014.

28 references, page 1 of 2
Abstract
When people experience health problems, this often leads to a period of concern and stress. Both for patients’ physical and mental well-being, it is essential that healthcare processes are organized in the best possible way. This thesis aims to support hospitals in realizing excellent quality of patient service, whilst utilizing resources efficiently. By developing methodologies based on techniques from operations research, also known as mathematical decision theory, the research presented provides decision support for the planning and scheduling of healthcare processes. Three specific challenges are addressed in the three parts this thesis consists of. Part I f...
Subjects
acm: InformationSystems_GENERAL
free text keywords: Diagnostic services, Surgical block schedule, One-stop-shop, Patient flow, Online appointment scheduling, Wards, Staffing, flexibility, Nursing workload, Workforce planning, Heuristics, Inpatient care, Stochastic models, multidisciplinary treatment, Markov Processes, Computer Simulation, Surgical care, Hospital, Resource capacity planning and control, Nurse-to-patient assignment, Queueing Theory, Outpatient care, Bed occupancy, Health services accessibility, EWI-26264, Literature Review, Quality of care, METIS-311610, Mathematical Programming, Capacity dimensioning, Operations Research, Health care management, Emergency care, Rehabilitation care, Patient-centeredness, IR-97139
Download from
Universiteit Twente Repository
Doctoral thesis . 2015
Provider: NARCIS
28 references, page 1 of 2

[513] P.D. Wright, K.M. Bretthauer, and M.J. Côté. Reexamining the nurse scheduling problem: staffing ratios and nursing shortages. Decision Sciences, 37(1):39-70, 2006.

[514] S. Wu and D. Kotak. Agent-based collaborative project management system for distributed manufacturing. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, volume 2, pages 1223-1228, Washington, DC, 2003.

[515] X.D. Wu, M.T. Khasawneh, D.M. Yue, Y.N. Chu, and Z.T. Gao. A simulation study of outpatient scheduling with multiple providers and a single device. International Journal of Computational Intelligence Systems, 7(supplement 2):15-25, 2014.

[516] P. Xiao, P. Qu, and X. Qu. An adaptive redundant reservation strategy in distributed high-performance computing environments. International Journal of Hybrid Information Technology, 6(6):51-64, 2013.

[517] C. Yan, J. Tang, and B. Jiang. Sequential appointment scheduling considering walk-in patients. Mathematical Problems in Engineering, 2014:Article ID 564832, 2014.

[518] K.K. Yang, M.L. Lau, and S.A. Quek. A new appointment rule for a single-server, multiplecustomer service system. Naval Research Logistics, 45(3):313-326, 1998.

[519] M. Yang and X. Lu. On-line and semi-online scheduling for flow shop problems on two machines. Optimization, 62(4):499-507, 2013.

[520] R. Yang, S. Bhulai, R. van der Mei, and F. Seinstra. Optimal resource allocation for timereservation systems. Performance Evaluation, 68(5):414-428, 2011.

[521] Y. Yang, W. Jin, and X. Hao. Car rental logistics problem: a review of literature. In Proceedings of the IEEE International Conference on Service Operations and Logistics, and Informatics, volume 2, pages 2815-2819, Beijing, China, 2008.

[522] N. Yankovic and L.V. Green. Identifying good nursing levels: a queuing approach. Operations Research, 59(4):942-955, 2011.

[523] D. Ye and G. Zhang. On-line scheduling with extendable working time on a small number of machines. Information Processing Letters, 85(4):171-177, 2003.

[524] H.J. Yoon and D.Y. Lee. Online scheduling of integrated single-wafer processing tools with temporal constraints. IEEE Transactions on Semiconductor Manufacturing, 18(3): 390-398, 2005.

[525] L. Yuan, C.K. Tham, and A.L. Ananda. A probing approach for effective distributed resource reservation. In M.A. Marsan, G. Corazza, M. Listanti, and A. Roveri, editors, Quality of Service in Multiservice IP Networks, volume 2601 of Lecture Notes in Computer Science, pages 672-688. Springer-Verlag, Berlin Heidelberg, Germany, 2003. [OpenAIRE]

[526] C. Zacharias and M. Armony. Joint panel sizing and appointment scheduling in outpatient care. Working paper (available at: http://people.stern.nyu.edu/cz464), Stern School of Business, New York University, New York, NY, 2015.

[527] C. Zacharias and M. Pinedo. Managing customer arrivals in service systems with multiple servers. Working paper (available at: http://ssrn.com), Stern School of Business, New York University, New York, NY, 2014.

28 references, page 1 of 2
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