Data Structuring and Visualization System for Neuro-oncology

神经肿瘤学数据结构和可视化系统

• 批准号: 7567140
• 负责人: RICKY K. TAIRA
• 金额: $ 95.32万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7567140
• 关键词: Abnormal coordination; Accounting; Address; Anatomy; Appearance; Assimilations; Caregivers; Caring; Chronic; Chronology; Clinic; Clinical; Clinical Investigator; Clinical Research; Complex; Computer software; Data; Databases; Decision Making; Development; Diagnosis; Disease; Disease Progression; Disease model; Effectiveness; Etiology; Evaluation; Event; Goals; Image; Imagery; Intervention; Lead; Learning; Medical; Medical Records; Metric; Natural Language Processing; Oncologist; Operative Surgical Procedures; Patient Care; Patient Care Management; Patients; Pattern; Performance; Physicians; Process; Property; Public Health; Recording of previous events; Reporting; Research Personnel; Structure; System; Technology; Text; Time; Training; abstracting; follow-up; improved; innovation; intervention effect; neuro-oncology; novel; open source; physical state; satisfaction; tool

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.

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。它包括以前的观察，解释和干预，需要整合到当前的病人护理决策的描述。对患者病历的适当审查通常需要医生审查多个临床文件，同时在脑海中注意与发现内容相关的问题，事件的时间顺序，疾病进展的空间/时间模式，干预措施的影响以及观察到的发现的可能的因果解释。此外，成像数据和成像导出的结论很难整合到患者护理和管理决策中。医生还需要过滤掉那些与当前临床护理背景无关的信息。考虑到与慢性病患者病例相关的时间限制、数据复杂性和数据量，实际上很少执行对患者图表的适当审查。此外，缺乏用于将当前和先前病例的描述形式化的工具阻碍了最终可用于学习疾病模式的临床数据库的开发。 本提案旨在开发一个便于审查临床患者数据的系统，以促进医疗问题理解和护理的有序过程。该提案的具体目标概述如下：1）开发后端工具，以促进医疗报告中所述的观察、事件和推断的结构化表示。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)评价在神经肿瘤学领域应用的有效性。 与公共卫生的关系。如果该提案的目标能够实现，与当前的操作模式（HIS、RIS、PACS）相比，神经肿瘤学家应该能够更轻松地寻找所需的患者数据并检测证据模式。结构化工具应导致临床研究数据库质量的提高。