Greiner Ulrike, Ramsch Jan, Heller Barbara, Löffler Markus, Müller Robert, Rahm Erhard
University of Leipzig.
Stud Health Technol Inform. 2004;101:113-7.
One goal in modern medicine is to increase the treatment quality. A major step towards this aim is to support the execution of standardized, guideline-based clinical protocols, which are used in many medical domains, e.g., for oncological chemotherapies. Standardized chemotherapy protocols contain detailed and structured therapy plans describing the single therapy steps (e.g., examinations or drug applications). Therefore, workflow management systems offer good support for these processes. However, the treatment of a particular patient often requires modifications due to unexpected infections, toxicities, or social factors. The modifications are described in the treatment protocol but not as part of the standard process. To be able to further execute the therapy workflows in case of exceptions running workflows have to be adapted dynamically. Furthermore, the physician should be supported by automated exception detection and decision support for derivation of necessary modifications. The AdaptFlow prototype offers the required support for the field of oncological chemotherapies by enhancing a workflow system with dynamic workflow adaptation and rule based decision support for exception detection and handling.
现代医学的一个目标是提高治疗质量。朝着这一目标迈出的重要一步是支持执行标准化的、基于指南的临床方案，这些方案在许多医学领域都有应用，例如用于肿瘤化疗。标准化化疗方案包含详细且结构化的治疗计划，描述了单个治疗步骤（如检查或药物应用）。因此，工作流管理系统为这些流程提供了良好的支持。然而，由于意外感染、毒性或社会因素，对特定患者的治疗通常需要进行修改。这些修改在治疗方案中有描述，但不是标准流程的一部分。为了在出现异常情况时能够进一步执行治疗工作流，运行中的工作流必须进行动态调整。此外，医生应得到自动异常检测和决策支持，以推导必要的修改。AdaptFlow原型通过增强工作流系统，提供动态工作流适应以及基于规则的异常检测和处理决策支持，为肿瘤化疗领域提供了所需的支持。
