Data Structuring and Visualization System for Neuro-oncology

神经肿瘤学数据结构和可视化系统

基本信息

批准号：
7877057
负责人：
RICKY K. TAIRA
金额：
$ 77.15万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-07-01 至 2013-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7877057
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 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 operation physical state satisfaction tool

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 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 operation physical state satisfaction tool

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项目摘要

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）：神经肿瘤患者的病历很复杂，通常包括大量文本和成像数据。它包括有关先前的观察，解释和干预措施的描述，这些描述需要集成到有关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个临床文件，同时在精神上注明了与发现的问题，事件的年代，疾病进展的空间/时间模式，干预措施的效果以及观察到的发现的解释的可能因果关系。此外，成像数据和成像衍生的结论融入了患者护理和管理决策中。医师还需要滤除与当前护理临床环境无关的那些信息。考虑到时间限制，数据复杂性和与慢性患者病例相关的数据量，实际上对患者图表进行了适当的审查。此外，缺乏为当前和以前病例的说明形式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发展。该建议介绍了一个系统的开发，该系统促进了临床患者数据的审查，该数据旨在促进有序的医学问题理解和护理过程。提案的具体目的总结如下：1）开发后端工具，以促进医学报告中所述的观察，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接口。 3）评估应用在神经肿瘤领域的有效性。与公共卫生有关。如果可以实现该提案的目标，与当前的运营方式（HIS，RIS，PAC）相比，神经综合医生应该能够更容易地寻求所需的患者数据并检测证据模式。结构工具应导致临床研究数据库质量的提高。