CYCORE: Cyberinfrastructure for Cancer Comparative Effectiveness Research
CYCORE: Cyberinfrastructure for Cancer Comparative Effectiveness Research
批准号:
9004609
负责人:
Kevin Patrick
金额:
$49.94万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-04-01 至 2019-02-28
关键词:
AccountingAddressAdherenceAdverse effectsAlabamaAlgorithmsArchitectureAromatase InhibitorsBehaviorCaliforniaCancer CenterCancer ControlCancer PatientClinical TrialsCloud ComputingCollectionCommunitiesCommunity Clinical Oncology ProgramComputer softwareDataData AnalysesData ReportingData SecurityDehydrationDetectionDoctor of MedicineEnrollmentEnsureEnvironmental Risk FactorFundingFutureGeneric DrugsGoalsHealthImageryInstitutionLife StyleMalignant NeoplasmsMeasuresMethodsModelingMovementNCI Center for Cancer ResearchNational Cancer InstituteOutcomeOutcomes ResearchParticipantPatient Outcomes AssessmentsPatient-Focused OutcomesPatientsPerformancePerformance StatusPharmaceutical PreparationsPhysiologicalPilot ProjectsPositioning AttributePreventionPrivacyProblem SolvingProcessPrunella vulgarisQuality of lifeReportingResearchResearch InfrastructureResearch PersonnelResearch Project GrantsSecuritySeedsServicesSignal TransductionSmokingSymptomsSystemTestingUniversitiesVisionbasecancer clinical trialcancer therapycomparative effectivenesscomputerized data processingcyber infrastructuredata acquisitiondata sharingeffectiveness researchexperienceimprovedinterestmeetingsmultidisciplinaryoncologyoutreachpilot trialprogramsprototypepsychologicsensorsmoking cessationsoftware developmenttooltreatment adherencetreatment centertrenduser-friendly
中文摘要
描述(由申请人提供):我们建议在国家癌症研究所的支持下,继续并显著扩展我们于2010年开始的研究,以开发一种系统,该系统可以改善癌症临床试验中患者报告和客观测量数据的捕获。该系统CYCORE (CYberinfrastructure for COmparative effectiveness REsearch)是一个强大的基于软件的原型,用于用户友好的网络基础设施(CI),支持对癌症相关的比较有效性研究(CER)重要数据的获取、存储、可视化、分析和共享。我们最初的项目是为了解决如何收集参加癌症临床试验的患者数据的问题,这将提高癌症研究人员收集患者报告数据的能力,这些数据包括症状、生活质量、表现状态和生理参数,这些数据表明参与者在治疗中的表现如何。我们已经开发了一个初始的,非常成功的CYCORE原型,在几个用例中测试了它,现在有一个小但高度热情的用户社区。我们在此提出的建议是基于我们对系统的可扩展性和可扩展性的关键需求的评估,以及用户对他们认为CYCORE中有用的内容以及他们希望在后续版本中看到的功能的输入。因此,我们致力于CYCORE的独特定位,以支持对癌症相关CER快速增长的兴趣。我们对CYCORE的愿景是在各种研究环境中支持扩大的研究人员社区。在这个项目中,我们关注以下目标:目标1:提高可伸缩性和性能:利用面向服务的体系结构、虚拟化和云计算的新兴趋势来扩展我们的基础设施,以适应现有的和新兴的传感器、处理、分析和报告工具。目标2:扩展新传感器的能力,解决容错和自愈问题。开发和测试来自新传感器的数据采集,同时提高系统的可靠性。目标3:为CYCORE引入新的癌症控制用例。目标4:纳入支持癌症CER重要结果检测和分析的新算法。为算法定义和执行提供通用基础设施,并实现试点试验所需的一些算法(例如,脱水、性能状态、运动和戒烟)。目标5:提高CYCORE的安全性、隐私性和数据共享能力——优化CYCORE如何处理与数据安全、匿名化和保密性相关的问题,以促进数据共享。与外部系统集成,以摄取数据到CYCORE,也导出数据与其他研究人员共享。目标6:制定和实施可持续发展模式-为CYCORE制定可持续发展模式,以确保未来对规划、项目和外展人员的支持。目标7:扩展和丰富CYCORE用户社区。扩展、支持和培育CYCORE用户社区。
英文摘要
DESCRIPTION (provided by applicant): We propose to continue and significantly extend the research we began in 2010, with support from the National Cancer Institute, to develop a system that improves the capture of patient-reported as well as objectively measured data from patients in cancer clinical trials. The system, CYCORE (CYberinfrastructure for COmparative effectiveness REsearch), is a robust software-based prototype for a user-friendly, cyberinfrastructure (CI) that supports the acquisition, storage, visualization, analysis, and sharing of data important for cancer-related comparative effectiveness research (CER). Our initial project began with the intent to solve the problem of how to collect data on patients enrolled in cancer clinical trials that would improve the ability of cancer researchers to gather patient-reported data on such things as symptoms, quality of life, performance status and physiological parameters that signal how well participants are doing with their treatment. We have developed an initial, highly successful prototype of CYCORE, tested it in several use- cases, and now have a small but highly enthusiastic community of users. What we propose herein is based both on our assessment of critical needs for scalability and extensibility of the system as well as on user input about what they find useful in CYCORE and what features they would like to see in subsequent versions. Hence, we endeavor to position CYCORE uniquely to support a rapidly growing interest in cancer-related CER. Our vision for CYCORE is to support an expanded community of researchers in a variety of research settings. In this project, we focus on the following Aims: Aim 1: Improve scalability and performance: Exploit the emerging trends in service-oriented architectures, virtualization, and cloud computing to scale our infrastructure to accommodate both existing and emerging sensors, processing, analysis and reporting tools. Aim 2: Expand capability for new sensors and address fault tolerance and self-healing. Develop and test the acquisition of data from new sensors, while increasing the system's reliability. Aim 3: Introduce a new cancer control use case for CYCORE Aim 4: Incorporate new algorithms that support the detection and analysis of outcomes important in cancer CER. Provide a generic infrastructure for algorithm definition and execution and implement some of the algorithms needed for the pilot trials (e.g., dehydration, performance status, movement, and smoking cessation). Aim 5: Improve security, privacy and data sharing capabilities of CYCORE - optimize how CYCORE handles issues related to data security, anonymization, and confidentiality in order to facilitate data sharing. Integrate with external systems to ingest data into CYCORE and also to export data for sharing with other researchers. Aim 6: Develop and Implement a model for sustainability - develop a sustainability model for CYCORE to ensure support for programming, project and outreach staff in the future. Aim 7: Expand and enrich the community of CYCORE users. Expand, support and nurture the community of CYCORE users.
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