Operations research as a decision-making tool in the health sector: A state of the art
La utilización de la investigación de operaciones como soporte a la toma de decisiones en el sector salud: Un estado del arte
Date
2017
2017
Metadata
Show full item record
Show full item record
Abstract
The contributions of Operations Research (OR) in the healthcare field have been extensively studied in the scientific literature since the 1960s, covering decision support tools with operational, tactical, and strategic approaches. The aim of this article is to analyze the historical development of the application of OR models in healthcare. The application trends for optimization, planning, and decision- making models are studied through a descriptive literature review and a bibliometric analysis of scientific papers published between 1952 and 2016. An upward trend in the usage of operational models is observed with the predominance of resource optimization approaches and strategic decision-making for public health.
Referencias:
[1] Feldstein, M., Operational research and efficiency in the health service. Lancet. 281(7279), pp.491-492. 1963. DOI: 10.1016/S0140- 6736(63)92381-X [2] Lam, S.S.W., Ng, Y.S., Lakshmanan, M.R., Ng, Y.Y. and Ong, M.E.H., Ambulance deployment under demand uncertainty. J Adv Manag Sci. 4(3), pp. 187-194, 2016. [3] Belciug, S. and Gorunescu, F., A hybrid genetic algorithm-queuing multicompartment model for optimizing inpatient bed occupancy and associated costs. Artif Intell Med. 68, pp. 59-69, 2016. DOI: 10.1016/j.artmed.2016.03.001 [4] Gedik, R., Zhang, S. and Rainwater, C,. Strategic level proton therapy patient admission planning: A Markov decision process modeling approach. Health Care Manag Sci. 20(2), pp. 286-302, 2017. DOI: 10.1007/s10729-016-9354-6 [5] Ivlev, I., Jablonsky, J. and Kneppo, P., Multiple-criteria comparative analysis of magnetic resonance imaging systems. Int J Med Eng Inform. 8(2), pp. 124-141, 2016. DOI: 10.1504/IJMEI.2016.075757 [6] Khalid, M.H., Tuszyński. P.K., Kazemi, P., Szlek, J., Jachowicz, R. and Mendyk. A., Transparent computational intelligence models for pharmaceutical tableting process. Complex Adapt Syst Model. Springer Berlin Heidelberg. 4(7) pp. 1-11, 2016. DOI 10.1186/s40294-016-0019-6 [7] Saleem, J.J., Militello, L.G., Russ, A.L. and Wilck, N.R., The divide between applied research and operations in health information technology advancement: reducing the Gap. Proc Hum Factors Ergon Soc Annu Meet. SAGE Publications. 59(1) pp. 460-460, 2015. DOI: 10.1177/1541931215591098 [8] Flagle, C.D., Operational research in the health services. Ann N Y Acad Sci. 107(2), pp. 748-759, 1962. DOI: 10.1111/j.1749-6632.1963.tb13318.x [9] Fries, B.E., Bibliography of operations research in health-care systems. Oper Res. INFORMS. 24(5), pp. 801-814, 1976. DOI: 10.1287/opre.24.5.801 [10] Fries, B.E., Technical note—bibliography of operations research in healthcare systems: An update. Oper Res. INFORMS. 27(2), pp. 408-419, 1979. DOI: 10.1287/opre.27.2.408 [11] Papageorgiou, J.C., Some operations research applications to problems of health care systems (A survey). Int J Biomed Comput. 9(2), pp. 1-14, 1978. DOI: 10.1016/0020-7101(78)90002-8 [12] Rosenhead, J., Operational research in health services planning. Eur J Oper Res. 2(2), pp. 75-85, 1978. DOI: 10.1016/0377-2217(78)90103-0 [13] Barber, B., The implementation and utilisation of operational research in the reorganised National Health Service Part II. Eur J Oper Res. 1(3), pp. 146-153, 1977. DOI: 10.1016/0377-2217(77)90021-2 [14] Boldy, D.P. and O'Kane, P.C., Health operational research — A selective overview. Eur J Oper Res. 10(1), pp. 1-9, 1982. DOI: 10.1016/0377- 2217(82)90124-2 [15] Hull, J.C., Operational research applied to health services. J Oper Res Soc. Nature Publishing Group. 32(8), pp.736-737. 1981. [16] Kemball-Cook, D. and Wright, D.J., The search for appropriate O.R.: A review of operational research in developing countries. J Oper Res Soc. Nature Publishing Group. 32(11), pp. 1021-1037, 1981. [17] Reynolds, J., Introduction: Operations research in primary health care. Socioecon Plann Sci. 21(2), pp. 73-77, 1987. DOI: 10.1016/0038- 0121(87)90016-4 [18] Eaton, D., Church, R., Bennett, V., Hamon, B. and Lopez, L., On deployment of health resources in rural Valle Del Cauca Colombia. In: Cook, W. and Kuhn, T., editors. Planning processes in developing countries: Techniques and achievements. Amsterdam: Amsterdam Netherlands and New York, North-Holland, 1982. [19] Boldy, D., The relationship between decision support systems and operational research: Health care examples. Eur J Oper Res. 29(2), pp. 128- 134, 1987. DOI: 10.1016/0377-2217(87)90102-0 [20] Sprague, R., A framework for the development of decision support systems. MIS Q. 6(4), pp. 1-26, 1980. DOI: 10.2307/248957 [21] Parker, B.R., In quest of useful health care decision models for developing countries. European Journal of Operation Research. 49(2), pp. 279-288, 1990. DOI: 10.1016/0377-2217(90)90346-D [22] Datta, S., Applications of O.R. in health in developing countries: A review. Soc Sci Med. 37(12), pp. 1441-1450, 1993. DOI: 10.1016/0277- 9536(93)90178-7 [23] Heidenberger, K., Strategic decision support in preventive health care. Socioecon Plann Sci. 26(2), pp. 129-146, 1992. DOI: 10.1016/0038- 0121(92)90019-2 [24] Pierskalla, W.P. and Brailer, D.J., Applications of operations research in health care delivery. In: Pollock, S.M., Rothkopf, M.H. and Barnett, A., editors. Handbooks in OR & MS. Vol. 6. Amsterdam, The Netherlands: Elsevier Science, pp. 469-505, 1994. [25] Royston, G., Shifting the balance of health care into the 21st century. Eur J Oper Res. 105(2), pp. 267-276, 1998. DOI: 10.1016/S0377- 2217(97)00234-8 [26] Lagergren, M., What is the role and contribution of models to management and research in the health services? A view from Europe. Eur J Oper Res., 105(2), pp. 257-266, 1998. DOI: 10.1016/S0377-2217(97)00233-6 [27] Rauner, M.S. and Vissers, J.M.H., OR applied to health services: Planning for the future with scarce resources. Eur J Oper Res. 150(1), pp. 1-2, 2003. DOI: 10.1016/S0377-2217(02)00775-0 [28] Berner, E.S., Clinical decision support systems: State of the art [online]. Agency for Healthcare Research and Quality. 2009. Available at: https://healthit.ahrq.gov/sites/default/files/docs/page/09-0069-EF_1.pdf [29] Bonis, J.J., Sancho, J.J. y Sanz, F., Sistemas informáticos de soporte a la decisión clínica. Med Clin. Elsevier. 122(1), pp. 39-44, 2004. DOI: 10.1157/13057545 [30] Dexter, P.R., Perkins, S., Overhage, J.M., Maharry, K., Kohler, R.B. and McDonald, C.J., A computerized reminder system to increase the use of preventive care for hospitalized patients. N Engl J Med. 345, pp.965-970, 2001. DOI: 10.1056/NEJMsa010181 [31] McCowan, C., Neville, R.G., Ricketts, I.W., Warner, F.C. and Hoskins, G.T., Lessons from a randomized controlled trial designed to evaluate computer decision support software to improve the management of asthma. Med Inf Internet Med. 18, pp. 586-596, 2001. [32] Frijling, B.D., Lobo, C.M., Hulscher, M.E., Akkermans, R.P., Braspenning, J.C., Prins, A. et al., Multifaceted support to improve clinical decision making in diabetes care: A randomised controlled trial in general practice. Diabet Med. 1910, pp. 836-842, 2002. DOI: 10.1046/j.1464- 5491.2002.00810.x [33] Friedlin, J., Dexter, P.R. and Overhage, J.M., Details of a successful clinical decision support system. AMIA 2007 Symposium Proceedings. American Medical Informatics Association. pp. 254-258, 2007. [34] Kaplan, B., Evaluating informatics applications—clinical decision support systems literature review. Int J Med Inform. 64(1), pp.15-37, 2001. DOI: 10.1016/S1386-5056(01)00183-6 [35] Bouaud, J., Seroussi, B., Antoine, E.C. and Zelek, L.S.M., A before-after study using OncoDoc, a guideline-based decision support-system on breast cancer management: Impact upon physician prescribing behaviour. Medinfo. 10, pp. 420-424, 2001. [36] Rais, A. and Viana, A., Operations Research in healthcare: A survey. Int Trans Oper Res. 18(1), pp. 1-31, 2010. DOI: 10.1111/j.1475- 3995.2010.00767.x [37] Podgorelec, V., Kokol, P., Stiglic, B. and Rozman, I., Decision trees: An overview and their use in medicine. J Med Syst. Kluwer Academic Publishers-Plenum Publishers, 26(5), pp. 445-463, 2002. [38] Torres, P., Ria-o, D. and López-Vallverdú, J., Inducing decision trees from medical decision processes. In: Ria-o, D., Ten Teije, A., Miksch, S. and Peleg, M., editors., Knowledge representation for health-care SE - 4. Springer Berlin Heidelberg. pp. 40-55, 2011. DOI: 10.1007/978-3-642- 18050-7_4 [39] Cornalba, C., Clinical and operational risk: A bayesian approach. Methodol Comput Appl Probab. 11(1), pp. 47-63, 2008. DOI: 10.1007/s11009-007- 9068-9 [40] Gardino, S.L., Jeruss, J.S. and Woodruff, T.K,. Using decision trees to enhance interdisciplinary team work: The case of oncofertility. J Assist Reprod Genet. 27(5), pp.227-231, 2010. DOI: 10.1007/s10815-010-9413- 8 [41] Hazen, G.B., Stochastic trees and the stotree modeling environment: Models and software for medical decision analysis. J Med Syst. Kluwer Academic Publishers-Plenum Publishers; 26(5), pp. 399-413, 2002. [42] Stasis, A.C., Loukis, E.N., Pavlopoulos, S.A. and Koutsouris, D., A multiple decision trees architecture for medical diagnosis: The differentiation of opening snap, second heart sound split and third heart sound. Comput Manag Sci. 1(3), pp. 245-274, 2004. DOI: 10.1007/s10287- 004-0015-8 [43] Barrientos-Martínez, R.E., Cruz-Ramírez, N., Acosta-Mesa, H.G., Suárez, I.R., Gogeascoechea-Trejo. M. del C., Pavón-León ,P., et al., Árboles de decisión como herramienta en el diagnóstico médico. Rev Médica la Univ Veracruzana, 9(2), 2009. [44] Wang, J., Li, M., Hu, Y. and Zhu, Y., Comparison of hospital charge prediction models for gastric cancer patients: Neural network vs. decision tree models. BMC Health Serv Res. 9(161), pp. 1-6, 2009. DOI: 10.1186/1472-6963-9-161 [45] Bonner, G., Decision making for health care professionals: use of decision trees within the community mental health setting. J Adv Nurs. 35(3), pp. 349-356, 2001. DOI: 10.1046/j.1365-2648.2001.01851.x [46] Ali, S., Razali, A., Bakar, A. and Suradi, N., Developing treatment plan support in outpatient health care delivery with decision trees technique. In: Cao, L., Zhong, J. and Feng, Y., editors. Advanced data mining and applications SE - 47. Springer Berlin Heidelberg. pp. 475-482, 2010. DOI: 10.1007/978-3-642-17313-4_47 [47] Hu, Y-J., Ku, T-H., Jan, R-H., Wang, K., Tseng, Y-C. and Yang, S-F., Decision tree-based learning to predict patient controlled analgesia consumption and readjustment. BMC Med Inform Decis Mak. 12(131), pp. 1-15, 2012. DOI: 10.1186/1472-6947-12-131 [48] Nakayama, N., Oketan,i M., Kawamura, Y., Inao, M., Nagoshi, S., Fujiwara, K., et al., Algorithm to determine the outcome of patients with acute liver failure: a data-mining analysis using decision trees. J Gastroenterol. 47(6), pp. 664-677, 2012. DOI: 10.1007/s00535-012-0529- 8 [49] Chao, C-M., Yu, Y-W., Cheng, B-W. and Kuo, Y-L., Construction the model on the breast cancer survival analysis use support vector machine, logistic regression and decision tree. J Med Syst. 38(10), pp. 106. 2014. DOI: 10.1007/s10916-014-0106-1 [50] Tsai, M-H., Wang, H-C., Lee, G-W., Lin, Y-C. and Chiu, S-H., A decision tree based classifier to analyze human ovarian cancer cDNA microarray datasets. J Med Syst. 40(1), pp. 21, 2015. DOI: 10.1007/s10916-015-0361- 9 [51] De la Hoz-Manotas, A.K., Martínez-Palacio, U.J. y Mendoza-Palechor, F.E., Técnicas de ml en medicina cardiovascular. Memorias. Dec 5, 11(20), pp. 41-46, 2013. [52] Bayat, S., Cuggia, M., Rossille, D., Kessler, M. and Frimat, L., Comparison of Bayesian network and decision tree methods for predicting access to the renal transplant waiting list. Stud Health Technol Inform. 150, pp. 600-604, 2009. [53] Pham, D-N. and Klinkert, A., Surgical case scheduling as a generalized job shop scheduling problem. Eur J Oper Res. 185(3), pp. 1011-1025, 2008. DOI: 10.1016/j.ejor.2006.03.059 [54] Koeleman, P.M., Bhulai, S. and van Meersbergen, M., Optimal patient and personnel scheduling policies for care-at-home service facilities. Eur J Oper Res. 219(3), pp. 557-563, 2012. DOI: 10.1016/j.ejor.2011.10.046 [55] Pradenas-Rojas, L. y Matamala-Vergara, E., Una formulación matemática y de solución para programar cirugías con restricciones de recursos humanos en el hospital público. Ingeniare Rev Chil Ing. Universidad de Tarapacá, 20(2), pp. 230-241, 2012. [56] Cordier, J-P. and Riane, F., Towards a centralised appointments system to optimise the length of patient stay. Decis Support Syst. 55(2), pp. 629-639, 2013. DOI: 10.1016/j.dss.2012.10.017 [57] Ma, G. and Demeulemeester, E., A multilevel integrative approach to hospital case mix and capacity planning. Comput Oper Res. 40(9), pp. 2198-2207, 2013. DOI: 10.1016/j.cor.2012.01.013 [58] M'Hallah, R. amd Alkhabbaz, A., Scheduling of nurses: A case study of a Kuwaiti health care unit. Oper Res Heal Care. 2(1-2), pp. 1-19, 2013. DOI: 10.1016/j.orhc.2013.03.003 [59] Marques, I., Captivo, M.E. and Vaz-Pato. M., Scheduling elective surgeries in a Portuguese hospital using a genetic heuristic. Oper Res Heal Care. 3(2), pp. 59-72, 2014. DOI: 10.1016/j.orhc.2013.12.001 [60] Lanzarone, E. and Matta, A., Robust nurse-to-patient assignment in home care services to minimize overtimes under continuity of care. Oper Res Heal Care. 3(2), pp. 48-58, 2014. DOI: 10.1016/j.orhc.2014.01.003 [61] Marques, I. and Captivo, M.E., Bicriteria elective surgery scheduling using an evolutionary algorithm. Oper Res Heal Care, 18, pp. 251-266, 2015. [62] Vancroonenburg, W., Smet, P. and Vanden-Berghe, G., A two-phase heuristic approach to multi-day surgical case scheduling considering generalized resource constraints. Oper Res Heal Care. 7, pp. 27-39, 2015. [63] Xiang, W., Yin, J. and Lim, G,. An ant colony optimization approach for solving an operating room surgery scheduling problem. Comput Ind Eng. 85, pp. 335-345, 2015. DOI: 10.1016/j.cie.2015.04.010 [64] Riise, A., Mannino, C. and Burke, E.K., Modelling and solving generalised operational surgery scheduling problems. Comput Oper Res. 66, pp. 1-11, 2016. DOI: 10.1016/j.cor.2015.07.003 [65] Lakshmi, C. and Sivakumar, A.I.. Application of queueing theory in health care: A literature review. Oper Res Heal Care. 2(1-2), pp. 25-39, 2013. DOI: 10.1016/j.orhc.2013.03.002 [66] Wu, G., Application of the queueing theory with Monte Carlo simulation to inhalation toxicology. Arch Toxicol. 72(6), pp. 330-335, 1998. DOI: 10.1007/s002040050510 [67] Izady, N. and Worthington, D., Setting staffing requirements for time dependent queueing networks: The case of accident and emergency departments. Eur J Oper Res. 219(3), pp. 531-540, 2012. DOI: 10.1016/j.ejor.2011.10.040 [68] Sharif, A., Stanford, D.A., Taylor, P. and Ziedins, I., A multi-class multiserver accumulating priority queue with application to health care. Oper Res Heal Care. 3(2), pp. 73-79, 2014. DOI: 10.1016/j.orhc.2014.01.002 [69] Asaduzzaman, M. and Chaussalet, T.J., Capacity planning of a perinatal network with generalised loss network model with overflow. Eur J Oper Res. 232(1), pp. 178-185, 2014. DOI: 10.1016/j.ejor.2013.06.037 [70] Kozlowski, D. and Worthington, D., Use of queue modelling in the analysis of elective patient treatment governed by a maximum waiting time policy. Eur J Oper Res. 244, pp. 331-338, 2015. DOI: 10.1016/j.ejor.2015.01.024 [71] Rahman, S. and Smith, D.K., Use of location-allocation models in health service development planning in developing nations. Eur J Oper Res. 123(3), pp. 437-452, 2000. DOI: 10.1016/S0377-2217(99)00289-1 [72] Mitropoulos, P., Mitropoulos, I. and Giannikos, I., Combining DEA with location analysis for the effective consolidation of services in the health sector. Comput Oper Res. 40(9), pp. 2241-2250, 2013. DOI: 10.1016/j.cor.2012.01.008 [73] Broyles, J.R., Cochran, J.K. and Montgomery, D.C., A statistical Markov chain approximation of transient hospital inpatient inventory. Eur J Oper Res. 207(3), pp. 1645-1657, 2010. DOI: 10.1016/j.ejor.2010.06.021 [74] Almehdawe, E., Jewkes, B. and He, Q-M., A Markovian queueing model for ambulance offload delays. Eur J Oper Res. 226(3), pp. 602-614, 2013. DOI: 10.1016/j.ejor.2012.11.030 [75] Sáez, P. and Herrera, C., Proposición de un método basado en cadenas de Markov para el pronóstico de fibrilaciones auriculares paroxísticas. Ingeniare Rev Chil. Ing. 23(3), pp.449-457, 2015. DOI: 10.4067/S0718- 33052015000300014 [76] Jun, J.B., Jacobson, S.H. and Swisher, J.R., Application of discrete-event simulation in health care clinics: A survey. J Oper Res Soc. Nature Publishing Group. 50(2), pp. 109-123, 1999. [77] Brailsford, S. and Schmidt, B., Towards incorporating human behaviour in models of health care systems: An approach using discrete event simulation. Eur J Oper Res. 150(1), pp. 19-31, 2003. DOI: 10.1016/S0377- 2217(02)00778-6 [78] Hosseinifard, S.Z., Abbasi, B. and Minas, J.P., Intensive care unit discharge policies prior to treatment completion. Oper Res Heal Care. 3(3), pp. 168- 175, 2014. DOI: 10.1016/j.orhc.2014.06.001 [79] Viana, J., Brailsford, S.C., Harindra, V. and Harper, P.R., Combining discrete-event simulation and system dynamics in a healthcare setting: A composite model for Chlamydia infection. Eur J Oper Res. 237(1), pp. 196- 206, 2014. DOI: 10.1016/j.ejor.2014.02.052 [80] Atkins, D., Noonan, V.K., Santos, A., Lewis, R., Fehlings, M., Burns, A., et al., Secondary complications in SCI across the continuum: using operations research to predict the impact and optimize management strategies. Top Spinal Cord Inj Rehabil. 18(1), pp. 57-66, 2012. DOI: 10.1310/sci1801-57 [81] Liu, Z., Cabrera, E., Taboada, M., Epelde, F., Rexachs, D. and Luque, E., Quantitative evaluation of decision effects in the management of emergency department problems. Procedia Comput Sci. 51, pp. 433-442, 2015. DOI: 10.1016/j.procs.2015.05.265 [82] De Angelis, V., Felici, G. and Impelluso, P., Integrating simulation and optimisation in health care centre management. Eur J Oper Res. 150(1), pp. 101-114, 2003. DOI: 10.1016/S0377-2217(02)00791-9
[1] Feldstein, M., Operational research and efficiency in the health service. Lancet. 281(7279), pp.491-492. 1963. DOI: 10.1016/S0140- 6736(63)92381-X [2] Lam, S.S.W., Ng, Y.S., Lakshmanan, M.R., Ng, Y.Y. and Ong, M.E.H., Ambulance deployment under demand uncertainty. J Adv Manag Sci. 4(3), pp. 187-194, 2016. [3] Belciug, S. and Gorunescu, F., A hybrid genetic algorithm-queuing multicompartment model for optimizing inpatient bed occupancy and associated costs. Artif Intell Med. 68, pp. 59-69, 2016. DOI: 10.1016/j.artmed.2016.03.001 [4] Gedik, R., Zhang, S. and Rainwater, C,. Strategic level proton therapy patient admission planning: A Markov decision process modeling approach. Health Care Manag Sci. 20(2), pp. 286-302, 2017. DOI: 10.1007/s10729-016-9354-6 [5] Ivlev, I., Jablonsky, J. and Kneppo, P., Multiple-criteria comparative analysis of magnetic resonance imaging systems. Int J Med Eng Inform. 8(2), pp. 124-141, 2016. DOI: 10.1504/IJMEI.2016.075757 [6] Khalid, M.H., Tuszyński. P.K., Kazemi, P., Szlek, J., Jachowicz, R. and Mendyk. A., Transparent computational intelligence models for pharmaceutical tableting process. Complex Adapt Syst Model. Springer Berlin Heidelberg. 4(7) pp. 1-11, 2016. DOI 10.1186/s40294-016-0019-6 [7] Saleem, J.J., Militello, L.G., Russ, A.L. and Wilck, N.R., The divide between applied research and operations in health information technology advancement: reducing the Gap. Proc Hum Factors Ergon Soc Annu Meet. SAGE Publications. 59(1) pp. 460-460, 2015. DOI: 10.1177/1541931215591098 [8] Flagle, C.D., Operational research in the health services. Ann N Y Acad Sci. 107(2), pp. 748-759, 1962. DOI: 10.1111/j.1749-6632.1963.tb13318.x [9] Fries, B.E., Bibliography of operations research in health-care systems. Oper Res. INFORMS. 24(5), pp. 801-814, 1976. DOI: 10.1287/opre.24.5.801 [10] Fries, B.E., Technical note—bibliography of operations research in healthcare systems: An update. Oper Res. INFORMS. 27(2), pp. 408-419, 1979. DOI: 10.1287/opre.27.2.408 [11] Papageorgiou, J.C., Some operations research applications to problems of health care systems (A survey). Int J Biomed Comput. 9(2), pp. 1-14, 1978. DOI: 10.1016/0020-7101(78)90002-8 [12] Rosenhead, J., Operational research in health services planning. Eur J Oper Res. 2(2), pp. 75-85, 1978. DOI: 10.1016/0377-2217(78)90103-0 [13] Barber, B., The implementation and utilisation of operational research in the reorganised National Health Service Part II. Eur J Oper Res. 1(3), pp. 146-153, 1977. DOI: 10.1016/0377-2217(77)90021-2 [14] Boldy, D.P. and O'Kane, P.C., Health operational research — A selective overview. Eur J Oper Res. 10(1), pp. 1-9, 1982. DOI: 10.1016/0377- 2217(82)90124-2 [15] Hull, J.C., Operational research applied to health services. J Oper Res Soc. Nature Publishing Group. 32(8), pp.736-737. 1981. [16] Kemball-Cook, D. and Wright, D.J., The search for appropriate O.R.: A review of operational research in developing countries. J Oper Res Soc. Nature Publishing Group. 32(11), pp. 1021-1037, 1981. [17] Reynolds, J., Introduction: Operations research in primary health care. Socioecon Plann Sci. 21(2), pp. 73-77, 1987. DOI: 10.1016/0038- 0121(87)90016-4 [18] Eaton, D., Church, R., Bennett, V., Hamon, B. and Lopez, L., On deployment of health resources in rural Valle Del Cauca Colombia. In: Cook, W. and Kuhn, T., editors. Planning processes in developing countries: Techniques and achievements. Amsterdam: Amsterdam Netherlands and New York, North-Holland, 1982. [19] Boldy, D., The relationship between decision support systems and operational research: Health care examples. Eur J Oper Res. 29(2), pp. 128- 134, 1987. DOI: 10.1016/0377-2217(87)90102-0 [20] Sprague, R., A framework for the development of decision support systems. MIS Q. 6(4), pp. 1-26, 1980. DOI: 10.2307/248957 [21] Parker, B.R., In quest of useful health care decision models for developing countries. European Journal of Operation Research. 49(2), pp. 279-288, 1990. DOI: 10.1016/0377-2217(90)90346-D [22] Datta, S., Applications of O.R. in health in developing countries: A review. Soc Sci Med. 37(12), pp. 1441-1450, 1993. DOI: 10.1016/0277- 9536(93)90178-7 [23] Heidenberger, K., Strategic decision support in preventive health care. Socioecon Plann Sci. 26(2), pp. 129-146, 1992. DOI: 10.1016/0038- 0121(92)90019-2 [24] Pierskalla, W.P. and Brailer, D.J., Applications of operations research in health care delivery. In: Pollock, S.M., Rothkopf, M.H. and Barnett, A., editors. Handbooks in OR & MS. Vol. 6. Amsterdam, The Netherlands: Elsevier Science, pp. 469-505, 1994. [25] Royston, G., Shifting the balance of health care into the 21st century. Eur J Oper Res. 105(2), pp. 267-276, 1998. DOI: 10.1016/S0377- 2217(97)00234-8 [26] Lagergren, M., What is the role and contribution of models to management and research in the health services? A view from Europe. Eur J Oper Res., 105(2), pp. 257-266, 1998. DOI: 10.1016/S0377-2217(97)00233-6 [27] Rauner, M.S. and Vissers, J.M.H., OR applied to health services: Planning for the future with scarce resources. Eur J Oper Res. 150(1), pp. 1-2, 2003. DOI: 10.1016/S0377-2217(02)00775-0 [28] Berner, E.S., Clinical decision support systems: State of the art [online]. Agency for Healthcare Research and Quality. 2009. Available at: https://healthit.ahrq.gov/sites/default/files/docs/page/09-0069-EF_1.pdf [29] Bonis, J.J., Sancho, J.J. y Sanz, F., Sistemas informáticos de soporte a la decisión clínica. Med Clin. Elsevier. 122(1), pp. 39-44, 2004. DOI: 10.1157/13057545 [30] Dexter, P.R., Perkins, S., Overhage, J.M., Maharry, K., Kohler, R.B. and McDonald, C.J., A computerized reminder system to increase the use of preventive care for hospitalized patients. N Engl J Med. 345, pp.965-970, 2001. DOI: 10.1056/NEJMsa010181 [31] McCowan, C., Neville, R.G., Ricketts, I.W., Warner, F.C. and Hoskins, G.T., Lessons from a randomized controlled trial designed to evaluate computer decision support software to improve the management of asthma. Med Inf Internet Med. 18, pp. 586-596, 2001. [32] Frijling, B.D., Lobo, C.M., Hulscher, M.E., Akkermans, R.P., Braspenning, J.C., Prins, A. et al., Multifaceted support to improve clinical decision making in diabetes care: A randomised controlled trial in general practice. Diabet Med. 1910, pp. 836-842, 2002. DOI: 10.1046/j.1464- 5491.2002.00810.x [33] Friedlin, J., Dexter, P.R. and Overhage, J.M., Details of a successful clinical decision support system. AMIA 2007 Symposium Proceedings. American Medical Informatics Association. pp. 254-258, 2007. [34] Kaplan, B., Evaluating informatics applications—clinical decision support systems literature review. Int J Med Inform. 64(1), pp.15-37, 2001. DOI: 10.1016/S1386-5056(01)00183-6 [35] Bouaud, J., Seroussi, B., Antoine, E.C. and Zelek, L.S.M., A before-after study using OncoDoc, a guideline-based decision support-system on breast cancer management: Impact upon physician prescribing behaviour. Medinfo. 10, pp. 420-424, 2001. [36] Rais, A. and Viana, A., Operations Research in healthcare: A survey. Int Trans Oper Res. 18(1), pp. 1-31, 2010. DOI: 10.1111/j.1475- 3995.2010.00767.x [37] Podgorelec, V., Kokol, P., Stiglic, B. and Rozman, I., Decision trees: An overview and their use in medicine. J Med Syst. Kluwer Academic Publishers-Plenum Publishers, 26(5), pp. 445-463, 2002. [38] Torres, P., Ria-o, D. and López-Vallverdú, J., Inducing decision trees from medical decision processes. In: Ria-o, D., Ten Teije, A., Miksch, S. and Peleg, M., editors., Knowledge representation for health-care SE - 4. Springer Berlin Heidelberg. pp. 40-55, 2011. DOI: 10.1007/978-3-642- 18050-7_4 [39] Cornalba, C., Clinical and operational risk: A bayesian approach. Methodol Comput Appl Probab. 11(1), pp. 47-63, 2008. DOI: 10.1007/s11009-007- 9068-9 [40] Gardino, S.L., Jeruss, J.S. and Woodruff, T.K,. Using decision trees to enhance interdisciplinary team work: The case of oncofertility. J Assist Reprod Genet. 27(5), pp.227-231, 2010. DOI: 10.1007/s10815-010-9413- 8 [41] Hazen, G.B., Stochastic trees and the stotree modeling environment: Models and software for medical decision analysis. J Med Syst. Kluwer Academic Publishers-Plenum Publishers; 26(5), pp. 399-413, 2002. [42] Stasis, A.C., Loukis, E.N., Pavlopoulos, S.A. and Koutsouris, D., A multiple decision trees architecture for medical diagnosis: The differentiation of opening snap, second heart sound split and third heart sound. Comput Manag Sci. 1(3), pp. 245-274, 2004. DOI: 10.1007/s10287- 004-0015-8 [43] Barrientos-Martínez, R.E., Cruz-Ramírez, N., Acosta-Mesa, H.G., Suárez, I.R., Gogeascoechea-Trejo. M. del C., Pavón-León ,P., et al., Árboles de decisión como herramienta en el diagnóstico médico. Rev Médica la Univ Veracruzana, 9(2), 2009. [44] Wang, J., Li, M., Hu, Y. and Zhu, Y., Comparison of hospital charge prediction models for gastric cancer patients: Neural network vs. decision tree models. BMC Health Serv Res. 9(161), pp. 1-6, 2009. DOI: 10.1186/1472-6963-9-161 [45] Bonner, G., Decision making for health care professionals: use of decision trees within the community mental health setting. J Adv Nurs. 35(3), pp. 349-356, 2001. DOI: 10.1046/j.1365-2648.2001.01851.x [46] Ali, S., Razali, A., Bakar, A. and Suradi, N., Developing treatment plan support in outpatient health care delivery with decision trees technique. In: Cao, L., Zhong, J. and Feng, Y., editors. Advanced data mining and applications SE - 47. Springer Berlin Heidelberg. pp. 475-482, 2010. DOI: 10.1007/978-3-642-17313-4_47 [47] Hu, Y-J., Ku, T-H., Jan, R-H., Wang, K., Tseng, Y-C. and Yang, S-F., Decision tree-based learning to predict patient controlled analgesia consumption and readjustment. BMC Med Inform Decis Mak. 12(131), pp. 1-15, 2012. DOI: 10.1186/1472-6947-12-131 [48] Nakayama, N., Oketan,i M., Kawamura, Y., Inao, M., Nagoshi, S., Fujiwara, K., et al., Algorithm to determine the outcome of patients with acute liver failure: a data-mining analysis using decision trees. J Gastroenterol. 47(6), pp. 664-677, 2012. DOI: 10.1007/s00535-012-0529- 8 [49] Chao, C-M., Yu, Y-W., Cheng, B-W. and Kuo, Y-L., Construction the model on the breast cancer survival analysis use support vector machine, logistic regression and decision tree. J Med Syst. 38(10), pp. 106. 2014. DOI: 10.1007/s10916-014-0106-1 [50] Tsai, M-H., Wang, H-C., Lee, G-W., Lin, Y-C. and Chiu, S-H., A decision tree based classifier to analyze human ovarian cancer cDNA microarray datasets. J Med Syst. 40(1), pp. 21, 2015. DOI: 10.1007/s10916-015-0361- 9 [51] De la Hoz-Manotas, A.K., Martínez-Palacio, U.J. y Mendoza-Palechor, F.E., Técnicas de ml en medicina cardiovascular. Memorias. Dec 5, 11(20), pp. 41-46, 2013. [52] Bayat, S., Cuggia, M., Rossille, D., Kessler, M. and Frimat, L., Comparison of Bayesian network and decision tree methods for predicting access to the renal transplant waiting list. Stud Health Technol Inform. 150, pp. 600-604, 2009. [53] Pham, D-N. and Klinkert, A., Surgical case scheduling as a generalized job shop scheduling problem. Eur J Oper Res. 185(3), pp. 1011-1025, 2008. DOI: 10.1016/j.ejor.2006.03.059 [54] Koeleman, P.M., Bhulai, S. and van Meersbergen, M., Optimal patient and personnel scheduling policies for care-at-home service facilities. Eur J Oper Res. 219(3), pp. 557-563, 2012. DOI: 10.1016/j.ejor.2011.10.046 [55] Pradenas-Rojas, L. y Matamala-Vergara, E., Una formulación matemática y de solución para programar cirugías con restricciones de recursos humanos en el hospital público. Ingeniare Rev Chil Ing. Universidad de Tarapacá, 20(2), pp. 230-241, 2012. [56] Cordier, J-P. and Riane, F., Towards a centralised appointments system to optimise the length of patient stay. Decis Support Syst. 55(2), pp. 629-639, 2013. DOI: 10.1016/j.dss.2012.10.017 [57] Ma, G. and Demeulemeester, E., A multilevel integrative approach to hospital case mix and capacity planning. Comput Oper Res. 40(9), pp. 2198-2207, 2013. DOI: 10.1016/j.cor.2012.01.013 [58] M'Hallah, R. amd Alkhabbaz, A., Scheduling of nurses: A case study of a Kuwaiti health care unit. Oper Res Heal Care. 2(1-2), pp. 1-19, 2013. DOI: 10.1016/j.orhc.2013.03.003 [59] Marques, I., Captivo, M.E. and Vaz-Pato. M., Scheduling elective surgeries in a Portuguese hospital using a genetic heuristic. Oper Res Heal Care. 3(2), pp. 59-72, 2014. DOI: 10.1016/j.orhc.2013.12.001 [60] Lanzarone, E. and Matta, A., Robust nurse-to-patient assignment in home care services to minimize overtimes under continuity of care. Oper Res Heal Care. 3(2), pp. 48-58, 2014. DOI: 10.1016/j.orhc.2014.01.003 [61] Marques, I. and Captivo, M.E., Bicriteria elective surgery scheduling using an evolutionary algorithm. Oper Res Heal Care, 18, pp. 251-266, 2015. [62] Vancroonenburg, W., Smet, P. and Vanden-Berghe, G., A two-phase heuristic approach to multi-day surgical case scheduling considering generalized resource constraints. Oper Res Heal Care. 7, pp. 27-39, 2015. [63] Xiang, W., Yin, J. and Lim, G,. An ant colony optimization approach for solving an operating room surgery scheduling problem. Comput Ind Eng. 85, pp. 335-345, 2015. DOI: 10.1016/j.cie.2015.04.010 [64] Riise, A., Mannino, C. and Burke, E.K., Modelling and solving generalised operational surgery scheduling problems. Comput Oper Res. 66, pp. 1-11, 2016. DOI: 10.1016/j.cor.2015.07.003 [65] Lakshmi, C. and Sivakumar, A.I.. Application of queueing theory in health care: A literature review. Oper Res Heal Care. 2(1-2), pp. 25-39, 2013. DOI: 10.1016/j.orhc.2013.03.002 [66] Wu, G., Application of the queueing theory with Monte Carlo simulation to inhalation toxicology. Arch Toxicol. 72(6), pp. 330-335, 1998. DOI: 10.1007/s002040050510 [67] Izady, N. and Worthington, D., Setting staffing requirements for time dependent queueing networks: The case of accident and emergency departments. Eur J Oper Res. 219(3), pp. 531-540, 2012. DOI: 10.1016/j.ejor.2011.10.040 [68] Sharif, A., Stanford, D.A., Taylor, P. and Ziedins, I., A multi-class multiserver accumulating priority queue with application to health care. Oper Res Heal Care. 3(2), pp. 73-79, 2014. DOI: 10.1016/j.orhc.2014.01.002 [69] Asaduzzaman, M. and Chaussalet, T.J., Capacity planning of a perinatal network with generalised loss network model with overflow. Eur J Oper Res. 232(1), pp. 178-185, 2014. DOI: 10.1016/j.ejor.2013.06.037 [70] Kozlowski, D. and Worthington, D., Use of queue modelling in the analysis of elective patient treatment governed by a maximum waiting time policy. Eur J Oper Res. 244, pp. 331-338, 2015. DOI: 10.1016/j.ejor.2015.01.024 [71] Rahman, S. and Smith, D.K., Use of location-allocation models in health service development planning in developing nations. Eur J Oper Res. 123(3), pp. 437-452, 2000. DOI: 10.1016/S0377-2217(99)00289-1 [72] Mitropoulos, P., Mitropoulos, I. and Giannikos, I., Combining DEA with location analysis for the effective consolidation of services in the health sector. Comput Oper Res. 40(9), pp. 2241-2250, 2013. DOI: 10.1016/j.cor.2012.01.008 [73] Broyles, J.R., Cochran, J.K. and Montgomery, D.C., A statistical Markov chain approximation of transient hospital inpatient inventory. Eur J Oper Res. 207(3), pp. 1645-1657, 2010. DOI: 10.1016/j.ejor.2010.06.021 [74] Almehdawe, E., Jewkes, B. and He, Q-M., A Markovian queueing model for ambulance offload delays. Eur J Oper Res. 226(3), pp. 602-614, 2013. DOI: 10.1016/j.ejor.2012.11.030 [75] Sáez, P. and Herrera, C., Proposición de un método basado en cadenas de Markov para el pronóstico de fibrilaciones auriculares paroxísticas. Ingeniare Rev Chil. Ing. 23(3), pp.449-457, 2015. DOI: 10.4067/S0718- 33052015000300014 [76] Jun, J.B., Jacobson, S.H. and Swisher, J.R., Application of discrete-event simulation in health care clinics: A survey. J Oper Res Soc. Nature Publishing Group. 50(2), pp. 109-123, 1999. [77] Brailsford, S. and Schmidt, B., Towards incorporating human behaviour in models of health care systems: An approach using discrete event simulation. Eur J Oper Res. 150(1), pp. 19-31, 2003. DOI: 10.1016/S0377- 2217(02)00778-6 [78] Hosseinifard, S.Z., Abbasi, B. and Minas, J.P., Intensive care unit discharge policies prior to treatment completion. Oper Res Heal Care. 3(3), pp. 168- 175, 2014. DOI: 10.1016/j.orhc.2014.06.001 [79] Viana, J., Brailsford, S.C., Harindra, V. and Harper, P.R., Combining discrete-event simulation and system dynamics in a healthcare setting: A composite model for Chlamydia infection. Eur J Oper Res. 237(1), pp. 196- 206, 2014. DOI: 10.1016/j.ejor.2014.02.052 [80] Atkins, D., Noonan, V.K., Santos, A., Lewis, R., Fehlings, M., Burns, A., et al., Secondary complications in SCI across the continuum: using operations research to predict the impact and optimize management strategies. Top Spinal Cord Inj Rehabil. 18(1), pp. 57-66, 2012. DOI: 10.1310/sci1801-57 [81] Liu, Z., Cabrera, E., Taboada, M., Epelde, F., Rexachs, D. and Luque, E., Quantitative evaluation of decision effects in the management of emergency department problems. Procedia Comput Sci. 51, pp. 433-442, 2015. DOI: 10.1016/j.procs.2015.05.265 [82] De Angelis, V., Felici, G. and Impelluso, P., Integrating simulation and optimisation in health care centre management. Eur J Oper Res. 150(1), pp. 101-114, 2003. DOI: 10.1016/S0377-2217(02)00791-9
Collections