Sistemas de agendamento em serviços de saúde ambulatoriais: revisão sistemática da literatura

Autores

  • Marcelo Oleskovicz Universidade de São Paulo (USP) Departamento de Administração Faculdade de Economia, Administração e Contabilidade (FEA) Universidade de São Paulo (USP) https://orcid.org/0000-0002-6994-0549
  • Marcelo Caldeira Pedroso Universidade de São Paulo (USP) Departamento de Administração Faculdade de Economia, Administração e Contabilidade (FEA) Universidade de São Paulo (USP) http://orcid.org/0000-0002-2623-293X

DOI:

https://doi.org/10.20397/2177-6652/2023.v23i2.2178

Palavras-chave:

Serviços de saúde, sistema de saúde, agendamento de consultas ambulatoriais, revisão sistemática da literatura.

Resumo

Objetivo do estudo: este estudo buscou revisar a teoria acerca de sistemas de agendamento em serviços de saúde ambulatoriais.

Metodologia/abordagem: foi realizada uma revisão sistemática de literatura a partir da base Web of Science, contemplando artigos em inglês e português publicados a partir de 2003.

Originalidade/relevância: ao mesmo tempo em que atualiza e organiza dados sobre a literatura relativa ao tema, o estudo aponta oportunidades relevantes para novas pesquisas.

Principais resultados: foram selecionados 65 estudos para análise, sendo observado um crescimento expressivo de pesquisas relacionadas ao tema nos últimos anos, assim como o predomínio de estudos analíticos de sistemas de agendamento com um servidor e um único estágio. Constatou-se também, dentro da segmentação adotada, diversos contextos não cobertos pelos sistemas de agendamento presentes na literatura.

Contribuições teóricas/metodológicas: entre as lacunas identificadas, destaca-se o potencial de exploração da heterogeneidade dos sistemas, especialmente a heterogeneidade associada ao período da sessão de atendimento e o recálculo de horários em função da heterogeneidade dos pacientes, visando maior liberdade de escolha de horários.

Biografia do Autor

Marcelo Caldeira Pedroso, Universidade de São Paulo (USP) Departamento de Administração Faculdade de Economia, Administração e Contabilidade (FEA) Universidade de São Paulo (USP)

Marcelo Caldeira Pedroso é Professor Livre-Docente do Departamento de Administração da Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo (FEA-USP). Coordenador do Programa de Mestrado Profissional em Empreendedorismo (FEA-USP). Coordenador de área (Pesquisa para inovação - PIPE) na Fapesp. É livre-docente pelo Departamento de Administração da FEA-USP, e também possui pós-doutorado nesta instituição. É doutor em ciências pela Faculdade de Medicina (USP), com pesquisa desenvolvida em gestão em saúde. É doutor, mestre e graduado em Engenharia de Produção pela Escola Politécnica (USP). Apresenta experiência executiva em serviços intensivos em conhecimento, tais como consultoria empresarial (Deloitte, Ernst&Young Consulting, IBM, i2 Technologies, KPMG Consulting/BearingPoint, TerraForum), educação (FIA) e saúde (Grupo Fleury). É membro do Conselho Curador da FIA (Fundação Instituto de Administração), membro do conselho de startups e Conselheiro de Administração certificado pelo IBGC (Instituto Brasileiro de Governança Corporativa). Criador de uma abordagem estruturada denominada Jornada da Inovação de Modelo de Negócio aplicada em startups, inovação corporativa e educação empreendedora.

Referências

Ahmadi-Javid, A., Jalali, Z., & Klassen, K. J. (2017). Outpatient appointment systems in healthcare: A review of optimization studies. European Journal of Operational Research, 258(1), 3-34.

Akhavizadegan, F., Ansarifar, J., & Jolai, F. (2017). A novel approach to determine a tactical and operational decision for dynamic appointment scheduling at nuclear medical center. Computers & Operations Research, 78, 267-277.

Alrefaei, M. H., & Diabat, A. (2015). Modelling and optimization of outpatient appointment scheduling. RAIRO-Operations Research, 49(3), 435-450.

Anderson, K., Zheng, B., Yoon, S. W., & Khasawneh, M. T. (2015). An analysis of overlapping appointment scheduling model in an outpatient clinic. Operations Research for Health Care, 4, 5-14.

Bailey, N. T. (1952). A study of queues and appointment systems in hospital out‐patient departments, with special reference to waiting‐times. Journal of the Royal Statistical Society: Series B (Methodological), 14(2), 185-199.

Berg, B. P., Denton, B. T., Erdogan, S. A., Rohleder, T., & Huschka, T. (2014). Optimal booking and scheduling in outpatient procedure centers. Computers & Operations Research, 50, 24-37.

Bhattacharjee, P., & Ray, P. K. (2016). Simulation modelling and analysis of appointment system performance for multiple classes of patients in a hospital: a case study. Operations Research for Health Care, 8, 71-84.

Cayirli, T., & Gunes, E. D. (2014). Outpatient appointment scheduling in presence of seasonal walk-ins. Journal of the Operational Research Society, 65(4), 512-531.

Cayirli, T., & Veral, E. (2003). Outpatient scheduling in health care: a review of literature. Production and Operations Management, 12(4), 519-549.

Cayirli, T., & Yang, K. K. (2014). A universal appointment rule with patient classification for service times, no-shows, and walk-ins. Service Science, 6(4), 274-295.

Cayirli, T., Veral, E., & Rosen, H. (2008). Assessment of patient classification in appointment system design. Production and Operations Management, 17(3), 338-353.

Cayirli, T., Yang, K. K., & Quek, S. A. (2012). A universal appointment rule in the presence of no‐shows and walk‐ins. Production and Operations Management, 21(4), 682-697.

Chakraborty, S., Muthuraman, K., & Lawley, M. (2010). Sequential clinical scheduling with patient no-shows and general service time distributions. IIE Transactions, 42(5), 354-366.

Chakraborty, S., Muthuraman, K., & Lawley, M. (2013). Sequential clinical scheduling with patient no-show: The impact of pre-defined slot structures. Socio-Economic Planning Sciences, 47(3), 205-219.

Chen, P. S., Robielos, R. A. C., Palaña, P. K. V. C., Valencia, P. L. L., & Chen, G. Y. H. (2015). Scheduling patients’ appointments: Allocation of healthcare service using simulation optimization. Journal of Healthcare Engineering, 6(2), 259-280.

Choi, S. S., & Banerjee, A. A. (2016). Comparison of a branch-and-bound heuristic, a newsvendor-based heuristic and periodic Bailey rules for outpatients appointment scheduling systems. Journal of the Operational Research Society, 67(4), 576-592.

Creps, J., & Lotfi, V. (2017). A dynamic approach for outpatient scheduling. Journal of Medical Economics, 20(8), 786-798.

De Vuyst, S., Bruneel, H., & Fiems, D. (2014). Computationally efficient evaluation of appointment schedules in health care. European Journal of Operational Research, 237(3), 1142-1154.

Deceuninck, M., Fiems, D., & De Vuyst, S. (2018). Outpatient scheduling with unpunctual patients and no-shows. European Journal of Operational Research, 265(1), 195-207.

Denton, B., & Gupta, D. (2003). A sequential bounding approach for optimal appointment scheduling. IIE Transactions, 35(11), 1003-1016.

Erdogan, S. A., & Denton, B. (2013). Dynamic appointment scheduling of a stochastic server with uncertain demand. INFORMS Journal on Computing, 25(1), 116-132.

Erdogan, S. A., Gose, A., & Denton, B. T. (2015). Online appointment sequencing and scheduling. IIE Transactions, 47(11), 1267-1286.

Fry, J. (1964). Appointments Systems in Hospitals and General Practice: Appointments in General Practice. Journal of the Operational Research Society, 15(3), 233-237.

Gocgun, Y., & Puterman, M. L. (2014). Dynamic scheduling with due dates and time windows: an application to chemotherapy patient appointment booking. Health Care Management Science, 17(1), 60-76.

Gupta, D., & Denton, B. (2008). Appointment scheduling in health care: Challenges and opportunities. IIE Transactions, 40(9), 800-819.

Hahn-Goldberg, S., Carter, M. W., Beck, J. C., Trudeau, M., Sousa, P., & Beattie, K. (2014). Dynamic optimization of chemotherapy outpatient scheduling with uncertainty. Health Care Management Science, 17(4), 379-392.

Harper, P. R., & Gamlin, H. M. (2003). Reduced outpatient waiting times with improved appointment scheduling: a simulation modelling approach. Or Spectrum, 25(2), 207-222.

Hong, T. S., Shang, P. P., Arumugam, M., & Yusuff, R. M. (2013). Use of simulation to solve outpatient clinic problems: a review of the literature. South African Journal of Industrial Engineering, 24(3), 27-47.

Huang, Y. L. (2016). Appointment standardization evaluation in a primary care facility. International Journal of Health Care Quality Assurance.

Huang, Y. L., & Bach, S. M. (2016). Appointment lead time policy development to improve patient access to care. Applied Clinical Informatics, 7(4), 954.

Huang, Y. L., & Marcak, J. (2015). Grid patient appointment template design to improve scheduling effectiveness. Journal of Healthcare Engineering, 6(2), 239-258.

Huang, Y., & Verduzco, S. (2015). Appointment template redesign in a women’s health clinic using clinical constraints to improve service quality and efficiency. Applied Clinical Informatics, 6(02), 271-287.

Jiang, R., Shen, S., & Zhang, Y. (2017). Integer programming approaches for appointment scheduling with random no-shows and service durations. Operations Research, 65(6), 1638-1656.

Johnson, W. L., & Rosenfeld, L. S. (1968). Factors affecting waiting time in ambulatory care services. Health Services Research, 3(4), 286.

Kim, S., & Giachetti, R. E. (2006). A stochastic mathematical appointment overbooking model for healthcare providers to improve profits. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 36(6), 1211-1219.

Klassen, K. J., & Yoogalingam, R. (2009). Improving performance in outpatient appointment services with a simulation optimization approach. Production and Operations Management, 18(4), 447-458.

Klassen, K. J., & Yoogalingam, R. (2013). Appointment system design with interruptions and physician lateness. International Journal of Operations & Production Management, 33(4), 394-414.

Klassen, K. J., & Yoogalingam, R. (2014). Strategies for appointment policy design with patient unpunctuality. Decision Sciences, 45(5), 881-911.

Kong, Q., Lee, C. Y., Teo, C. P., & Zheng, Z. (2013). Scheduling arrivals to a stochastic service delivery system using copositive cones. Operations Research, 61(3), 711-726.

Kortbeek, N., Zonderland, M. E., Braaksma, A., Vliegen, I. M., Boucherie, R. J., Litvak, N., & Hans, E. W. (2014). Designing cyclic appointment schedules for outpatient clinics with scheduled and unscheduled patient arrivals. Performance Evaluation, 80, 5-26.

Kuiper, A., & Mandjes, M. (2015). Appointment scheduling in tandem-type service systems. Omega, 57, 145-156.

Kuiper, A., Kemper, B., & Mandjes, M. (2015). A computational approach to optimized appointment scheduling. Queueing Systems, 79(1), 5-36.

LaGanga, L. R., & Lawrence, S. R. (2012). Appointment overbooking in health care clinics to improve patient service and clinic performance. Production and Operations Management, 21(5), 874-888.

Lee, S. J., Heim, G. R., Sriskandarajah, C., & Zhu, Y. (2018). Outpatient Appointment Block Scheduling Under Patient Heterogeneity and Patient No‐Shows. Production and Operations Management, 27(1), 28-48.

Leung, J. Y. (Ed.). (2004). Handbook of scheduling: algorithms, models, and performance analysis. CRC press.

Lin, C. K. Y. (2015). An adaptive scheduling heuristic with memory for the block appointment system of an outpatient specialty clinic. International Journal of Production Research, 53(24), 7488-7516.

Lin, C. K. Y., Ling, T. W. C., & Yeung, W. K. (2017). Resource Allocation and Outpatient Appointment Scheduling Using Simulation Optimization. Journal of Healthcare Engineering.

Lindley, D. V. (1952, April). The theory of queues with a single server. In Mathematical Proceedings of the Cambridge Philosophical Society (Vol. 48, No. 2, pp. 277-289). Cambridge University Press.

Luo, J., Kulkarni, V. G., & Ziya, S. (2012). Appointment scheduling under patient no-shows and service interruptions. Manufacturing & Service Operations Management, 14(4), 670-684.

Mak, H. Y., Rong, Y., & Zhang, J. (2014). Sequencing appointments for service systems using inventory approximations. Manufacturing & Service Operations Management, 16(2), 251-262.

Mak, H. Y., Rong, Y., & Zhang, J. (2015). Appointment scheduling with limited distributional information. Management Science, 61(2), 316-334.

Mancilla, C., & Storer, R. (2012). A sample average approximation approach to stochastic appointment sequencing and scheduling. IIE Transactions, 44(8), 655-670.

Morikawa, K., & Takahashi, K. (2017). Scheduling appointments for walk-ins. International Journal of Production Economics, 190, 60-66.

Morikawa, K., Takahashi, K., & Hirotani, D. (2018). Performance evaluation of candidate appointment schedules using clearing functions. Journal of Intelligent Manufacturing, 29(3), 509-518.

Nguyen, T. B. T., Sivakumar, A. I., & Graves, S. C. (2017). Scheduling rules to achieve lead-time targets in outpatient appointment systems. Health Care Management Science, 20(4), 578-589.

Oleskovicz, M., Oliva, F. L., Grisi, C. C. D. H., Lima, A. C., & Custódio, I. (2014). Técnica de overbooking no atendimento público ambulatorial em uma unidade do Sistema Único de Saúde. Cadernos de Saúde Pública, 30, 1009-1017.

Parizi, M. S., & Ghate, A. (2016). Multi-class, multi-resource advance scheduling with no-shows, cancellations and overbooking. Computers & Operations Research, 67, 90-101.

Pérez, E., Ntaimo, L., Malavé, C. O., Bailey, C., & McCormack, P. (2013). Stochastic online appointment scheduling of multi-step sequential procedures in nuclear medicine. Health Care Management Science, 16(4), 281-299.

Qi, J. (2016). Mitigating delays and unfairness in appointment systems. Management Science, 63(2), 566-583.

Riise, A., Mannino, C., & Lamorgese, L. (2016). Recursive logic-based Benders’ decomposition for multi-mode outpatient scheduling. European Journal of Operational Research, 255(3), 719-728.

Rockart, J. F., & Hofmann, P. B. (1969). Physician and patient behavior under different scheduling systems in a hospital outpatient department. Medical Care, 463-470.

Safdar, K. A., Emrouznejad, A., & Dey, P. K. (2016). Assessing the Queuing Process Using Data Envelopment Analysis: an Application in Health Centres. Journal of Medical Systems, 40(1), 32.

Salzarulo, P. A., Mahar, S., & Modi, S. (2016). Beyond patient classification: Using individual patient characteristics in appointment scheduling. Production and Operations Management, 25(6), 1056-1072.

Saremi, A., Jula, P., ElMekkawy, T., & Wang, G. G. (2015). Bi-criteria appointment scheduling of patients with heterogeneous service sequences. Expert Systems with Applications, 42(8), 4029-4041.

Schuetz, H. J., & Kolisch, R. (2013). Capacity allocation for demand of different customer-product-combinations with cancellations, no-shows, and overbooking when there is a sequential delivery of service. Annals of Operations Research, 206(1), 401-423.

Sickinger, S., & Kolisch, R. (2009). The performance of a generalized Bailey–Welch rule for outpatient appointment scheduling under inpatient and emergency demand. Health Care Management Science, 12(4), 408.

Su, S., & Shih, C. L. (2003). Managing a mixed-registration-type appointment system in outpatient clinics. International Journal of Medical Informatics, 70(1), 31-40.

Tai, G., & Williams, P. (2012). Optimization of scheduling patient appointments in clinics using a novel modelling technique of patient arrival. Computer Methods and Programs in Biomedicine, 108(2), 467-476.

Tai, G., & Williams, P. (2013). Quantitative analysis of investment allocation over various resources of health care systems by using views of product lines. International Journal of Systems Science, 44(11), 2057-2067.

Tang, J., Yan, C., & Cao, P. (2014). Appointment scheduling algorithm considering routine and urgent patients. Expert Systems with Applications, 41(10), 4529-4541.

Tsai, P. F. J., & Teng, G. Y. (2014). A stochastic appointment scheduling system on multiple resources with dynamic call-in sequence and patient no-shows for an outpatient clinic. European Journal of Operational Research, 239(2), 427-436.

Turkcan, A., Zeng, B., Muthuraman, K., & Lawley, M. (2011). Sequential clinical scheduling with service criteria. European Journal of Operational Research, 214(3), 780-795.

Vanden Bosch, P. M., Dietz, D. C., & Simeoni, J. R. (1999). Scheduling customer arrivals to a stochastic service system. Naval Research Logistics (NRL), 46(5), 549-559.

Vink, W., Kuiper, A., Kemper, B., & Bhulai, S. (2015). Optimal appointment scheduling in continuous time: The lag order approximation method. European Journal of Operational Research, 240(1), 213-219.

Wang, J., Chen, Y. F., & Xu, M. (2018). Optimization and approximation methods for dynamic appointment scheduling with patient choices. Computers & Operations Research, 92, 65-76.

Wang, P. P. (1993). Static and dynamic scheduling of customer arrivals to a single‐server system. Naval Research Logistics (NRL), 40(3), 345-360.

Wang, W. Y., & Gupta, D. (2011). Adaptive appointment systems with patient preferences. Manufacturing & Service Operations Management, 13(3), 373-389.

Welch, J. D., & Bailey, N. J. (1952). Appointment systems in hospital outpatient departments. The Lancet, 259(6718), 1105-1108.

White, D. L., Froehle, C. M., & Klassen, K. J. (2011). The effect of integrated scheduling and capacity policies on clinical efficiency. Production and Operations Management, 20(3), 442-455.

Xiao, G., Dong, M., Li, J., & Sun, L. (2017). Scheduling routine and call-in clinical appointments with revisits. International Journal of Production Research, 55(6), 1767-1779.

Yan, C., Tang, J., & Jiang, B. (2014). Sequential appointment scheduling considering walk-in patients. Mathematical Problems in Engineering, 2014.

Yan, C., Tang, J., Jiang, B., & Fung, R. Y. (2015). Sequential appointment scheduling considering patient choice and service fairness. International Journal of Production Research, 53(24), 7376-7395.

Zacharias, C., & Pinedo, M. (2014). Appointment Scheduling with No‐Shows and Overbooking. Production and Operations Management, 23(5), 788-801.

Zhang, Y., Shen, S., & Erdogan, S. A. (2017). Distributionally robust appointment scheduling with moment-based ambiguity set. Operations Research Letters, 45(2), 139-144.

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2023-08-20

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Oleskovicz, M., & Pedroso, M. C. (2023). Sistemas de agendamento em serviços de saúde ambulatoriais: revisão sistemática da literatura. Revista Gestão & Tecnologia, 23(2), 318–342. https://doi.org/10.20397/2177-6652/2023.v23i2.2178

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