Core 01 - Information Technology and Systems Integration

核心01 - 信息技术和系统集成

• 批准号: 10249159
• 负责人: Adam Asare
• 金额: $ 32.83万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-08 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10249159
• 关键词: Address; Adverse event; Algorithms; Bioinformatics; Biology; Breast Cancer Patient; Breast Cancer Risk Factor; Caring; Clinic; Clinical; Code; Collection; Common Terminology Criteria for Adverse Events; Computer Analysis; Consumption; Data; Data Analyses; Data Set; Development; Ensure; Environment; Goals; Image; Individual; Information Systems; Information Technology; Infrastructure; Knowledge; Magnetic Resonance Imaging; Manuals; Measures; Modeling; Molecular; Neoadjuvant Therapy; New Agents; Outcome; Patient Monitoring; Patients; Process; Quality of life; Reporting; Research; Research Personnel; Retreatment; Role; Secure; Selection for Treatments; Sequential Treatment; Source; Summary Reports; Surveys; System; Systems Integration; Time; Toxic effect; Tumor Biology; Visualization; Woman; base; biomarker signature; chemotherapy; clinical decision support; dashboard; data infrastructure; data integration; data visualization; design; drug discovery; evidence base; feasibility testing; flexibility; high risk; imaging modality; informatics infrastructure; malignant breast neoplasm; member; molecular imaging; molecular marker; multiple omics; non-invasive imaging; predictive modeling; programs; real time monitoring; response; statistics; tool; tumor

This Program Project comprises four individual projects, which will: implement evidence-based sequential multiple treatment assignment strategies for patients predicted to have insufficient response to their initial neoadjuvant targeted and/or chemotherapy, (Project 1); qualify non-invasive imaging methods as early markers of non-response (Project 2); characterize the biology of non-responders to inform treatment selection (Project 3); and develop a portfolio of agents and decision tools for treatment re-assignment matched to biology of non- responding tumors (Project 4). The overarching goal of the Information Technology (IT) and Systems Integration Core is to develop an informatics infrastructure for the storage, integration and dashboard visualization of clinical, molecular and imaging data collected within the proposed I-SPY 2+ Program Project framework. Specifically, we will review and leverage the existing I-SPY 2 data infrastructure to design and implement a functional user interface that will enable role-based access and integrated visualization of data within and across projects with the I-SPY 2+ Program Project framework. This dashboard visualization will be extensible and capable of providing relevant data summaries and reports in support of all Projects in the Program. In addition, the dashboard will provide flexible integration of algorithms from other environments such as R code generated by the Bioinformatics and Statistics Core for longitudinal modeling of non-response based on imaging (Project 2) and molecular biomarkers (Project 3), and will allow for visualization of predictive modeling results of breast cancer data within and across project teams within the I-SPY 2+ Program Project Framework via secure, role-based access. Integration of tools to report patient adverse event and quality of life will reduce the time spent extracting information manually from disparate sources, reduce errors, and potentially allow real-time monitoring. Collectively, the capabilities enabled by the data visualization dashboard will be a critical component towards achieving the overall Program Project goal of building and implementing robust, evidence-based decision algorithms to enable treatment to be adapted for individual women with high risk breast cancer.

该计划项目由四个单独的项目组成，这些项目将： 针对预计对其初始反应不足的患者采取多种治疗分配策略 新辅助靶向和/或化疗（项目1）；将非侵入性成像方法视为早期标记 不答复的情况（项目 2）；描述无反应者的生物学特征，为治疗选择提供信息（项目 3）； 并开发与非非治疗生物学相匹配的治疗重新分配的药物和决策工具组合 反应性肿瘤（项目 4）。信息技术 (IT) 和系统集成的总体目标 核心是开发一个信息学基础设施，用于存储、集成和仪表板可视化临床、 在拟议的 I-SPY 2+ 计划项目框架内收集的分子和成像数据。具体来说，我们 将审查并利用现有的 I-SPY 2 数据基础设施来设计和实施功能用户 界面将支持基于角色的访问以及项目内部和跨项目的数据集成可视化 I-SPY 2+ 计划项目框架。 该仪表板可视化将是可扩展的，并且能够提供相关的数据摘要和报告 支持该计划中的所有项目。此外，仪表板将提供算法的灵活集成 来自其他环境，例如生物信息学和统计核心生成的 R 代码，用于纵向 基于成像（项目 2）和分子生物标志物（项目 3）的无反应建模，并将允许 I-SPY 项目团队内部和跨项目团队的乳腺癌数据预测建模结果的可视化 通过安全、基于角色的访问实现 2+ 计划项目框架。整合报告患者不良事件的工具 生活质量将减少从不同来源手动提取信息所花费的时间，减少 错误，并可能允许实时监控。总的来说，数据可视化所支持的功能 仪表板将是实现项目总体目标的关键组成部分，即构建和 实施稳健的、基于证据的决策算法，使治疗能够适应个体 患有高风险乳腺癌的女性。