Estratégias de gestão do fluxo de pacientes: estudo de casos múltiplos em clínicas de radioterapia de Belo Horizonte

• Ano de defesa: 2017
• Autor(a) principal: Elisa Granha Lira
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Gestão do fluxo de pacientes; Gestão de serviços de saúde; Eficiência de fluxo Radioterapia Revisão sistemática de literatura; Administração
• Link de acesso: http://hdl.handle.net/1843/BUBD-AX8KVH

Patient flow management strategies assist to solve future challenges faced by the brazilian health services as radiotherapy clinics. For this purpose, the authors Jensen et al. (2007) and Jensen e Mayer (2015) proposed seven strategies: demand-capacity management; variability control; forecasting future demand; applying Queuing Theory; applying Theory of Constraints; flow as a complex adaptive system; and real-time monitoring of flow data. Therefore, this study aims to understand how these strategies are being used in radiotherapy clinics in Belo Horizonte. Based on a systematic literature review and the multiple case studies conducted, inter-relations among these strategies were verified. This complementariety and their proper combination can make the results achieved even more robust. It was verified that most of the strategies used by the three clinics studied are related to Demand-Capacity Management. This is due to the high demand for this treatment and also to the fact that one of their biggest challenges is scheduling patients across the available agenda. Moreover, many challenges that make it difficult to implement these strategies were identified such as financial, resources, technical, and legal issues. A focus on resource efficiency prevails in the clinics studied that privilege high resources utilization. However, a change which seeks a systemic analysis applying strategies like to adopt integrative practices among the companies involved in this process and to track performance indicators that embrace the whole flow could optimize the total costs and the patient clinic results (MODIG; ÅHLSTRÖM, 2015).