Decision Support Systems in Cancer Treatment: A Case Study at Brazilian National Cancer Institute

被引：0

作者：

Gonçalves A.A. ^{[1
,2
]}

De Castro Silva S.L.F. ^{[1
]}

Martins C.H.F. ^{[1
]}

Cheng C. ^{[1
]}

Barbosa J.G.P. ^{[2
]}

De Oliveira S.B. ^{[3
]}

机构：

[1] Instituto Nacional de Câncer-COAE Tecnologia da Informação, Rua do Resende 195, Rio de Janeiro

[2] Universidade Estácio de Sá-MAde, Rio de Janeiro

来源：

Studies in Health Technology and Informatics | 2018年 / 251卷

关键词：

Decision Support System; Discrete Event Simulation; Theory of Constraints;

D O I：

10.3233/978-1-61499-880-8-199

中图分类号：

学科分类号：

摘要：

Nowadays Brazil has a complex cancer care scenario. There are nearly 600.000 new cancer cases each year in Brazil, and the huge majority of patients have some contact with hospital services. However, long waiting queues for diagnostics and treatments have become common. One of the critical success factors in a cancer treatment is early diagnosis. The reduction of waiting time to start therapeutic procedures is one of the main issues for improvement of patient's quality of life and possibilities of cure. The objective of this work is to describe the development of a decision support system that improves the identification of access alternatives, appointment scheduling and employment of available resources. The Theory of Constraints was used to identify bottlenecks in patient treatment flow and a Discrete Events Simulation model was used to reduce patients' waiting time to start cancer treatment. © 2018 The authors and IOS Press. All rights reserved.

引用

页码：199 / 202

页数：3

共 5 条

[1]

INCA-Instituto Nacional de Câncer José de Alencar Gomes da Silva, (2018)

[2]

Goldblatt E.M., Lee W.H., From bench to bedside: The growing use of translational research in cancer medicine, American Journal of Translational Research, 2, 1, pp. 1-18, (2010)

[3]

Eldabi T., Implementation issues of modeling healthcare problems: Misconceptionsand lessons, Proceedings of the 2009 Winter Simulation Conference, pp. 1831-1839, (2009)

[4]

Rosenhead J., Mingers J., Rational Analysis for A Problematic World Revisited, (2001)

[5]

Perugini D., Perugini M., Characterized and personalized predictive-prescriptive analytics using agentbased simulation, International Journal of Data Analysis Techniques and Strategies, 6, 3, (2014)

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