Decision-Making Game for Simulation of Breast Cancer Biopsy and Treatment

Rafael G. Barbosa, M. A. F. Rodrigues, Thiago R. C. de Oliveira, S. P. Madeira, Juliana Amaral De Figueiredo, M. Alves, M. A. S. Medeiros, Ricardo L. Cabral Filho
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Abstract

Game-based simulations using real-world case scenarios can benefit health professionals and students regarding experience in decision-making. In this work, players can decide on breast cancer biopsy procedures and the sequence they should handle each medical device. In addition, based on breast cancer findings, players can simulate and recommend Chemotherapy and Hormone therapy treatments, choosing routes of administration, doses and periodicity schemas. In particular, with the help of expert collaborators from the health area, we compiled and structured a representative and up-to-date collection of worldwide medications to treat the most common breast cancer types used in the game. Furthermore, to contribute to the players' learning process, the history of decision-making of each player over time is saved automatically. This feature allows visualizing each patient's breast cancer treatment journey along the years and learning based on trial and error, modifications, repetitions, searches, and replaying the game as needed using different players' decisions. Players work toward a health goal, choosing actions and experiencing the consequences of those actions through active learning.
模拟乳腺癌活检和治疗的决策博弈
使用真实案例场景的基于游戏的模拟可以使卫生专业人员和学生在决策方面受益。在这项工作中,玩家可以决定乳腺癌活检程序和他们应该处理每个医疗设备的顺序。此外,根据乳腺癌的研究结果,玩家可以模拟和推荐化疗和激素治疗,选择给药路线,剂量和周期模式。特别是,在来自卫生领域的专家合作者的帮助下,我们编制并构建了一个具有代表性和最新的全球药物集合,用于治疗游戏中最常见的乳腺癌类型。此外,为了促进玩家的学习过程,每个玩家在一段时间内的决策历史被自动保存。该功能允许可视化每个患者多年来的乳腺癌治疗历程,并基于尝试和错误,修改,重复,搜索以及根据需要使用不同玩家的决定重玩游戏来学习。玩家朝着健康目标努力,通过主动学习选择行动并体验这些行动的后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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