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Requirements for the formal representation of pathophysiology mechanisms by clinicians

机译:临床医生对病理生理机制的正式代表的要求

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摘要

Knowledge of multiscale mechanisms in pathophysiology is the bedrock of clinical practice. If quantitative methods, predicting patient-specific behaviour of these pathophysiology mechanisms, are to be brought to bear on clinical decision-making, the Human Physiome community and Clinical community must share a common computational blueprint for pathophysiology mechanisms. A number of obstacles stand in the way of this sharing—not least the technical and operational challenges that must be overcome to ensure that (i) the explicit biological meanings of the Physiome's quantitative methods to represent mechanisms are open to articulation, verification and study by clinicians, and that (ii) clinicians are given the tools and training to explicitly express disease manifestations in direct contribution to modelling. To this end, the Physiome and Clinical communities must co-develop a common computational toolkit, based on this blueprint, to bridge the representation of knowledge of pathophysiology mechanisms (a) that is implicitly depicted in electronic health records and the literature, with (b) that found in mathematical models explicitly describing mechanisms. In particular, this paper makes use of a step-wise description of a specific disease mechanism as a means to elicit the requirements of representing pathophysiological meaning explicitly. The computational blueprint developed from these requirements addresses the Clinical community goals to (i) organize and manage healthcare resources in terms of relevant disease-related knowledge of mechanisms and (ii) train the next generation of physicians in the application of quantitative methods relevant to their research and practice.
机译:病理生理学中多尺度机制的知识是临床实践的基础。如果要采用定量方法来预测这些病理生理学机制的患者特定行为,以决定临床决策,那么人类生理组社区和临床社区必须共享共同的病理生理学计算蓝图。这种共享遇到许多障碍,尤其是必须克服的技术和操作挑战,以确保(i)生理组定量方法代表机制的明确生物学含义可以由以下人员进行阐明,验证和研究: (ii)为临床医生提供了工具和培训,以明确表达疾病表现并直接对建模做出贡献。为此,生理学和临床社区必须基于此蓝图共同开发一个通用的计算工具包,以桥接病理生理机制的知识表示(a)在电子健康记录和文献中隐含地描述,并与(b )在数学模型中明确描述了机制。特别是,本文利用对特定疾病机制的逐步描述作为一种手段,以明确提出代表病理生理意义的要求。从这些要求中得出的计算蓝图解决了临床界的目标,以(i)根据与疾病相关的相关机制知识来组织和管理医疗资源,以及(ii)培训下一代医师应用与其相关的定量方法研究与实践。

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