School of Computing and Information Systems, University of Melbourne, Melbourne, Australia.
Department of Clinical Laboratories, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile.
J Biomed Inform. 2022 Jun;130:104076. doi: 10.1016/j.jbi.2022.104076. Epub 2022 May 4.
Clinical guidelines are recommendations of how to diagnose, treat, and manage a patient's medical condition. Health organizations must measure adherence to clinical guidelines to enhance the quality of service, but due to the complexity of the medical environment, there is no simple way of measuring adherence to clinical guidelines. This scoping review will systematically assess the criteria used to measure adherence to clinical guidelines in the past 20 years and explore the suitability of using process mining techniques. We will use a workflow protocol based on declarative and temporal constraints to translate the narrative text rules in the publications into a high-level process model. This approach will enable us to explore the main patterns and gaps identified when measuring adherence to clinical guidelines and how they affect the adoption of process mining techniques. The main contributions of this paper are a) a comprehensive analysis of the criteria used for measuring adherence, considering a diverse set of medical conditions b) a framework that will classify the level of complexity of the rules used to measure adherence based on declarative and temporal constraints c) list of key trends and gaps identified in the literature and how they relate to the use of process mining techniques in healthcare.
临床指南是关于如何诊断、治疗和管理患者病情的建议。卫生组织必须衡量对临床指南的遵循程度，以提高服务质量，但由于医疗环境的复杂性，没有简单的方法来衡量对临床指南的遵循程度。本范围综述将系统评估过去 20 年来用于衡量临床指南遵循程度的标准，并探讨使用流程挖掘技术的适用性。我们将使用基于声明式和时间约束的工作流协议，将出版物中的叙述性文本规则转换为高级流程模型。这种方法将使我们能够探索在衡量临床指南遵循程度时发现的主要模式和差距，以及它们如何影响流程挖掘技术的采用。本文的主要贡献有：a）全面分析了用于衡量遵循程度的标准，考虑了一组不同的医疗条件；b）一个框架，将根据声明式和时间约束来对用于衡量遵循程度的规则的复杂程度进行分类；c）列出文献中确定的关键趋势和差距，以及它们与在医疗保健中使用流程挖掘技术的关系。
