医疗保健领域的决策通常依赖于叙述性指导方针；然而，这些工具很难用于支持临床决策。本研究探讨了基于规则的决策逻辑在算法建模中的应用，强调其在临床决策支持和研究中的巨大潜力。将基于规则的算法与现有信息系统和现实世界数据集成提出了严峻的挑战。将决策算法与信息标准集成可以提高其在各种应用程序中的有效性。本研究概述了一种构建临床决策树（CDT）的方法，强调其透明度和可解释性，使用信息标准作为设计原则。我们以通过 CDT 实现荷兰乳腺癌指南的数字化作为案例研究，以例证其多功能性和实际意义。流程步骤“初级治疗”已成功从叙述指南格式转换为预期的 ted 计算格式。

Decision-making in healthcare often relies on narrative guidelines; however, these instruments are poorly accessible for supporting clinical decision-making. This study explores the application of rule-based decision logic in algorithmic modeling, emphasizing its great potential in clinical decision support and research. Integrating rule-based algorithms with existing information systems and real-world data poses a serious challenge. Integrating decision algorithms with information standards increases their effectiveness across various applications. This study outlines a method for constructing clinical decision trees (CDTs), highlighting their transparency and interpretability, using information standards as a design principle. We use the digitization of the Dutch breast cancer guideline through CDTs as a case study to exemplify their versatility and practical significance. The process step 'primary treatment' has been successfully translated from the narrative guidelines format to the anticipated ted computational format.