A Capacity Allocation Planning Model for Integrated Care and Access Management
dc.contributor.author | Deglise‐hawkinson, Jivan | |
dc.contributor.author | Helm, Jonathan E. | |
dc.contributor.author | Huschka, Todd | |
dc.contributor.author | Kaufman, David L. | |
dc.contributor.author | Van Oyen, Mark P. | |
dc.date.accessioned | 2019-01-15T20:26:36Z | |
dc.date.available | 2020-02-03T20:18:24Z | en |
dc.date.issued | 2018-12 | |
dc.identifier.citation | Deglise‐hawkinson, Jivan ; Helm, Jonathan E.; Huschka, Todd; Kaufman, David L.; Van Oyen, Mark P. (2018). "A Capacity Allocation Planning Model for Integrated Care and Access Management." Production and Operations Management (12): 2270-2290. | |
dc.identifier.issn | 1059-1478 | |
dc.identifier.issn | 1937-5956 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/146954 | |
dc.publisher | Kluwer Academic Publishers | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.subject.other | health care operations | |
dc.subject.other | advance planning and scheduling | |
dc.subject.other | access waiting time management | |
dc.subject.other | patient flow modeling | |
dc.subject.other | mixed integer programming | |
dc.subject.other | queueing networks | |
dc.title | A Capacity Allocation Planning Model for Integrated Care and Access Management | |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | |
dc.subject.hlbtoplevel | Engineering | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/146954/1/poms12941-sup-0001-AppendixS1.pdf | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/146954/2/poms12941_am.pdf | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/146954/3/poms12941.pdf | |
dc.identifier.doi | 10.1111/poms.12941 | |
dc.identifier.source | Production and Operations Management | |
dc.identifier.citedreference | Kocher, R., N. R. Sahni. 2010. Physicians versus hospitals as leaders of accountable care organizations. New. Engl. J. Med. 363 ( 27 ): 2579 â 2582. | |
dc.identifier.citedreference | Erdelyi, A., H. Topaloglu. 2010. Approximate dynamic programming for dynamic capacity allocation with multiple priority levels. IIE Trans. 43 ( 2 ): 129 â 142. | |
dc.identifier.citedreference | Feldman, J., N. Liu, H. Topaloglu, S. Ziya. 2014. Appointment scheduling under patient preference and noâ show behavior. Oper. Res. 62 ( 4 ): 794 â 811. | |
dc.identifier.citedreference | Gerchak, Y., D. Gupta, M. Henig. 1996. Reservation planning for elective surgery under uncertain demand for emergency surgery. Management Sci. 42 ( 3 ): 321 â 334. | |
dc.identifier.citedreference | Gocgun, Y., A. Ghate. 2012. Lagrangian relaxation and constraint generation for allocation and advanced scheduling. Comput. Oper. Res. 39 ( 10 ): 2323 â 2336. | |
dc.identifier.citedreference | Gocgun, Y., M. L. Puterman. 2014. Dynamic scheduling with due dates and time windows: An application to chemotherapy patient appointment booking. Health Care Manage. Sci. 17 ( 1 ): 60 â 76. | |
dc.identifier.citedreference | Gupta, D., B. Denton. 2008. Appointment scheduling in health care: Challenges and opportunities. IIE Trans. 40 ( 9 ): 800 â 819. | |
dc.identifier.citedreference | Gupta, D., L. W. Liu. 2008. Revenue management for a primaryâ care clinic in the presence of patient choice. Oper. Res. 56 ( 3 ): 576 â 592. | |
dc.identifier.citedreference | Gupta, D., M. K. Natarajan, A. Gafni, L. Wang, D. Shilton, D. Holder, S. Yusuf. 2007. Capacity planning for cardiac catheterization: A case study. Health Policy 82 ( 1 ): 1 â 11. | |
dc.identifier.citedreference | Helm, J. E., M. P. Van Oyen. 2014. Design and optimization methods for elective hospital admissions. Oper. Res. 62 ( 6 ): 1265 â 1282. | |
dc.identifier.citedreference | Helm, J. E., M. P. Van Oyen. 2016. Capacity optimization to improve itinerary completion in a destination medical center. Technical Report, Dept. Industrial & Operations Engr., Univ. Michigan, Ann Arbor, MI. | |
dc.identifier.citedreference | Herbots, J., W. Herroelen, R. Leus. 2010. Singleâ pass and approximate dynamicâ programming algorithms for order acceptance and capacity planning. J. Heuristics 16 ( 2 ): 189 â 209. | |
dc.identifier.citedreference | Hsu, Hâ M., Wâ P. Wang. 2001. Possibilistic programming in production planning of assembleâ toâ order environments. Fuzzy Sets Syst. 119 ( 1 ): 59 â 70. | |
dc.identifier.citedreference | Hulshof, P. J. H., N. Kortbeek, R. J. Boucherie, E. W. Hans, P. J. M. Bakker. 2012. Taxonomic classification of planning decisions in health care: A structured review of the state of the art in OR/MS. Health Syst. 1 ( 2 ): 129 â 175. | |
dc.identifier.citedreference | Hulshof, P. J. H., R. J. Boucherie, E. W. Hans, J. L. Hurink. 2013. Tactical resource allocation and elective patient admission planning in care processes. Health Care Manage. Sci. 16 ( 2 ): 152 â 166. | |
dc.identifier.citedreference | Lamiri, M., X. Xie, A. Dolgui, F. Grimaud. 2008. A stochastic model for operating room planning with elective and emergency demand for surgery. Eur. J. Oper. Res. 185 ( 3 ): 1026 â 1037. | |
dc.identifier.citedreference | Leung, K. K., W. A. Massey, W. Whitt. 1994. Traffic models for wireless communication networks. IEEE J. Sel. Area Comm. 12 ( 8 ): 1353 â 1364. | |
dc.identifier.citedreference | Mula, J., R. Poler, J. P. Garciaâ Sabater, F. C. Lario. 2006. Models for production planning under uncertainty: A review. Int. J. Prod. Econ. 103 ( 1 ): 271 â 285. | |
dc.identifier.citedreference | Patrick, J., M. L. Puterman, M. Queyranne. 2008. Dynamic multiâ priority patient scheduling for a diagnostic resource. Oper. Res. 56 ( 6 ): 1507 â 1525. | |
dc.identifier.citedreference | Saghafian, S., W. J. Hopp, M. P. Van Oyen, J. S. Desmond, S. L. Kronick. 2014. Complexityâ augmented triage: A tool for improving patient safety and operational efficiency. Manuf. Serv. Oper. Manag. 16 ( 3 ): 329 â 345. | |
dc.identifier.citedreference | Sauré, A., J. Patrick, S. Tyldesley, M. L. Puterman. 2012. Dynamic multiâ appointment patient scheduling for radiation therapy. Eur. J. Oper. Res. 223 ( 2 ): 573 â 584. | |
dc.identifier.citedreference | Talluri, K. T., G. J. Van Ryzin. 2006. The Theory and Practice of Revenue Management. Kluwer Academic Publishers, Dordrecht, NL. | |
dc.identifier.citedreference | Truong, V.â A. 2015. Optimal advance scheduling. Management Sci. 61 ( 7 ): 1584 â 1597. | |
dc.identifier.citedreference | Turkcan, A., B. Zeng, M. Lawley. 2012. Chemotherapy operations planning and scheduling. I.I.E. Trans. Healthc. Syst. Eng. 2 ( 1 ): 31 â 49. | |
dc.identifier.citedreference | Vermeulen, I. B., S. M. Bohte, S. G. Elkhuizen, H. Lameris, P. J. M. Bakker, H. L. Poutré. 2009. Adaptive resource allocation for efficient patient scheduling. Artif. Intell. Med. 46 ( 1 ): 67 â 80. | |
dc.identifier.citedreference | Adan, I., J. Bekkers, N. Dellaert, J. Vissers, X. Yu. 2009. Patient mix optimisation and stochastic resource requirements: A case study in cardiothoracic surgery planning. Health Care Manage. Sci. 12 ( 2 ): 129 â 141. | |
dc.identifier.citedreference | Akkan, C. 1997. Finiteâ capacity schedulingâ based planning for revenueâ based capacity management. Eur. J. Oper. Res. 100 ( 1 ): 170 â 179. | |
dc.identifier.citedreference | American Hospital Association. 2015. Connecting the dots along the care continuum. White paper, Available at http://www.aha.org/content/15/15carecontinuum.pdf (accessed date August 1, 2018). | |
dc.identifier.citedreference | Bekker, R., P. M. Koeleman. 2011. Scheduling admissions and reducing variability in bed demand. Health Care Manage. Sci. 14 ( 3 ): 237. | |
dc.identifier.citedreference | Cayirli, T., E. Veral. 2003. Outpatient scheduling in health care: A review of literature. Prod. Oper. Manag. 12 ( 4 ): 519 â 549. | |
dc.identifier.citedreference | Chow, V. S., M. L. Puterman, N. Salehirad, W. Huang, D. Atkins. 2011. Reducing surgical ward congestion through improved surgical scheduling and uncapacitated simulation. Prod. Oper. Manag. 20 ( 3 ): 418 â 430. | |
dc.identifier.citedreference | Degliseâ Favreâ Hawkinson, J. 2015. Access and resource management for clinical care and clinical research in multiâ class stochastic queueing networks. Ph.D. thesis, University of Michigan. | |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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