Data Structuring and Visualization System for Neuro-oncology

描述(由申请人提供)： 神经肿瘤患者的医疗记录是复杂的，通常由大量的文本和成像数据组成。它包括对先前的观察、解释和干预的描述，这些需要被整合到关于当前患者护理的决策中。对患者病历的适当审查通常要求医生审查多份临床文件，同时在脑海中记录与发现的内容、事件的时间顺序、疾病进展的空间/时间模式、干预措施的效果以及对观察到的发现的可能的因果关系的解释有关的问题。此外，成像数据和成像得出的结论在患者护理和管理决策中的整合程度很低。医生还需要过滤掉那些与当前护理的临床背景无关的信息。考虑到与慢性患者病例相关的时间限制、数据复杂性和数据量，实际上很少对患者的病历进行适当的审查。此外，缺乏将当前和以前病例的描述正规化的工具，阻碍了最终可用于了解疾病模式的临床数据库的发展。 该提案旨在开发一个促进临床患者数据审查的系统，旨在促进对医疗问题的理解和护理的有序过程。该提案的具体目标概括如下：1)开发一个后端工具，以促进医疗报告中陈述的观察、事件和推论的结构化表示。2)开发用于可视化、导航和编辑结构化患者数据的应用程序界面。3)神经肿瘤学领域应用效果评价。 与公共卫生的关系。如果这项建议的目标能够实现，与当前的操作模式(HIS、RIS、PACS)相比，神经肿瘤学家应该能够更容易地寻找所需的患者数据和检测证据模式。结构化工具应有助于提高临床研究数据库的质量。

DESCRIPTION (provided by applicant): The medical record for a neuro-oncology patient is complex, consisting of typically a large number of both text and imaging data. It includes descriptions of prior observations, interpretations, and interventions which need to be integrated into decisions regarding current patient care. An appropriate review of a patient's medical record often requires that a physician review multiple clinical documents while mentally noting issues related to what the findings were, the chronology of events, spatial/temporal patterns of disease progression, the effects of interventions, and the possible causal lines of explanation of observed findings. Additionally, imaging data and imaging- derived conclusions are poorly integrated into patient care and management decisions. The physician also needs to filter out those pieces of information not related to the current clinical context of care. Given the time constraints, data complexity and data volume associated with chronic patient cases, an appropriate review of a patient's chart is in reality rarely performed. Additionally, the lack of tools for formalizing the representation of the accounts of current and prior cases impedes the development of clinical databases that can be ultimately used to learn patterns of disease. This proposal addresses the development of a system for facilitating the review of clinical patient data intended to promote an orderly process of medical problem understanding and care. The specific aims of the proposal are summarized as follows: 1) Development of a backend tool to facilitate the structured representation of observations, events, and inferences stated within medical reports. 2) Development of an application interface for visualizing, navigating, and editing structured patient data. 3) Evaluation of the effectiveness of the application in the domain of neuro-oncology. Relation to public health. If the goals of this proposal can be realized, neuro-oncologist should be able to more easily seek desired patient data and detect patterns of evidence as compared to the current mode of operation (HIS, RIS, PACS). The structuring tools should lead to improvements in the quality of clinical research databases.