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Modelling of Causal Relations in Human Pathophysiology for Medical Education and Design Inspiration

机译：医学教育和设计灵感对人体病理生理学因果关系的建模

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While knowledge of general biological phenomena attracted much attention for supporting bio-inspired design, knowledge of biomedical problems has hardly been explored. However, this too can support training, diagnosis, and design. For instance, clinical expertise development during pre-clinical training depends on biomedical knowledge organized as complex causal structures in the clinician's mind. The accuracy of diagnostic expertise depends on the richness of these causal structures. Knowledge of medical problems can also act as stimuli for ideation for a designer. However, there is a lack of a standard structure for the depiction of causal relations. The proposed model for causal relations in human pathophysiology aims at describing the causes and consequences of diseases to aid pre-clinical medical education and design inspiration. The model is based on a 'systems thinking' approach to studying a complex system, where the entities of a biological system, arranged hierarchically in multiple levels, interact to fulfil a function. The model incorporates three levels of description of a disease: Hierarchical component-issue level, issue inter-relation level and issue description level. The first level incorporates knowledge of the hierarchy of all related components and issues occurring in a disease. The second level captures relational knowledge among the issues. The third level provides data at the most detailed level of human biology (biochemical processes) for each issue in a disease. Each level is accompanied with textual descriptions and images to aid comprehension. A qualitative survey is conducted with medical students and faculty members to assess the usability of the model.
机译：虽然通用生物现象的知识吸引了支持生物启发设计的巨大关注，但仍然探讨了生物医学问题的知识。但是，这也可以支持培训，诊断和设计。例如，临床前培训期间的临床专业知识依赖于临床医生心中作为复杂因果结构组织的生物医学知识。诊断专业知识的准确性取决于这些因果结构的丰富性。医学问题的知识也可以充当设计师的想法的刺激。然而，缺乏对因果关系的描述的标准结构。拟议的人体病理物理学因果关系模型旨在描述疾病的原因和后果，以援助临床前医学教育和设计灵感。该模型基于研究复杂系统的“系统思维”方法，其中一个生物系统的实体，在多个层次中分层排列，交互以实现功能。该模型包含三个疾病描述：分层组件问题级别，发布关系互动级别和发出描述级别。第一级纳入了对疾病中所有相关组分的层次结构的知识和发生的问题。第二级捕获问题之间的关系知识。第三级为疾病中每个问题提供最详细的人体生物学（生物化学过程）的数据。每个级别都伴随着文本描述和图像来援助理解。与医学生和教职员工进行定性调查，以评估模型的可用性。

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