Critical Care Informatics

重症监护信息学

• 批准号: 9116842
• 负责人: Leo Anthony G Celi
• 金额: $ 63.31万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9116842
• 关键词: Advanced Development; Agreement; Archives; Awareness; Biomedical Engineering; Boston; Caring; Clinical; Clinical Data; Clinical Research; Communities; Computer software; Country; Critical Care; Data; Data Collection; Databases; Effectiveness; Equipment; Funding; Guidelines; Health; Hospitals; Image; Informatics; Intensive Care; Intensive Care Units; Intervention; Israel; Knowledge; Life; Liquid substance; Medical center; Modeling; Monitor; Nomenclature; Outcome; Patients; Pharmaceutical Preparations; Physiological; Pilot Projects; Public Health; Records; Research; Research Personnel; Resolution; Resources; Sampling; Series; Signal Transduction; Software Tools; Students; System; Technology; Therapeutic; Therapeutic Intervention; Time; Update; base; care delivery; comparative effectiveness; cost; data archive; data integration; data mining; design; international center; open source; patient population; petabyte; predictive modeling; prognostic; tool; web site

DESCRIPTION (provided by applicant): Patients in hospital intensive care units (ICUs) are physiologically fragile and unstable, generally have life-threatening conditions, and require close monitoring and rapid therapeutic interventions. They are connected to an array of equipment and monitors, and are carefully attended by the clinical staff. Staggering amounts of data are collected daily on each patient in an ICU: multi-channel waveform data sampled hundreds of times each second, vital sign time series updated each second or minute, alarms and alerts, lab results, imaging results, records of medication and fluid administration, staff notes and more. Petabytes of data are captured daily during care delivery in the country's ICUs; however, most of these data are not used to generate evidence or to discover new knowledge. The technology now exists to collect, archive and organize finely detailed ICU data, resulting in research resources of enormous potential. Since 2003, our group has been building the Multi-parameter Intelligent Monitoring in Intensive Care II (MIMIC II) Database, which now holds clinical data from about 40,000 entire stays in the ICUs of the Beth Israel Deaconess Medical Center (BIDMC) in Boston, including waveform data (continuous multi-channel recordings of physiologic signals and vital signs) for a subset of these stays. We have meticulously de-identified the data and freely shared them with the research community via the PhysioNet web site. The database is an unparalleled research resource and its value is widely recognized. More than 725 researchers have no-cost access to the clinical data under data use agreements (DUAs). This worldwide community includes academic, clinical, and industrial investigators from more than 32 countries and is growing by over 50% per year. In addition, thousands of investigators, educators, and students have used the waveform data, which we have made freely available to all without restriction. MIMIC II's demonstrated and substantial relevance for research can be enhanced by incorporation of new data, reflecting changes in patient populations, public health challenges, available medications, clinical interventions, and care guidelines, and by development of advanced software to facilitate user access to MIMIC II. Its value can be further enhanced by integration of data from multiple centers. This proposal seeks funding: a) to maintain, enhance, and document the open-source software that we have created to build and update MIMIC II, to incorporate established and emerging standards, and to provide the tools needed to create parallel data collections at other centers; b) to establish the first public, multi-center, international, scalable, continuously updatable, high-resolution data archive for critical care research; and c) to create new knowledge and to develop clinical tools, based on the data archive, to inform and support clinical decisions and practice in critical care.

描述（由申请人提供）：医院重症监护病房（ICU）的患者在生理上脆弱且不稳定，通常有生命的状况，需要关闭 监测和快速治疗干预措施。它们连接到一系列设备和监视器，并由临床人员仔细参加。每天在ICU中收集大量的数据：多通道波形数据每秒采样数百次，生命符号时间序列序列序列序列序列序列序列序列序列序列，每隔或分钟更新，警报和警报，实验室结果，成像结果，药物和流体的记录和流体的记录，员工注释等。在该国ICU的护理运送期间，每天都会捕获数据的数据；但是，这些数据中的大多数不用于生成证据或发现新知识。现在，该技术已经存在，用于收集，存档和组织精细详细的ICU数据，从而产生了巨大潜力的研究资源。 Since 2003, our group has been building the Multi-parameter Intelligent Monitoring in Intensive Care II (MIMIC II) Database, which now holds clinical data from about 40,000 entire stays in the ICUs of the Beth Israel Deaconess Medical Center (BIDMC) in Boston, including waveform data (continuous multi-channel recordings of physiologic signals and vital signs) for a subset of these stays.我们已经精心识别了数据，并通过Physionet网站自由地与研究社区共享了数据。 数据库是无与伦比的研究资源，其价值得到了广泛认可。根据数据使用协议（DUAS），超过725位研究人员无需访问临床数据。这个全球社区包括来自32多个国家 /地区的学术，临床和工业研究者，每年增长50％以上。此外，成千上万的调查人员，教育工作者和学生都使用了波形数据，我们已经无限制地自由使用了波形数据。 模仿II的证明和实质性与 可以通过合并新数据，反映患者人群，公共卫生挑战，可用药物，临床干预和护理指南的变化以及开发高级软件以促进用户访问MIMIC II的变化来增强研究。通过整合来自多个中心的数据，可以进一步增强其价值。 该提案寻求资金：a）维护，增强和记录我们为构建和更新Mimic II的开源软件，以合并已建立和新兴标准，并提供在其他中心创建并行数据收集所需的工具； b）建立第一个公众，多中心，国际，可扩展，不断更新，高分辨率数据存档 进行重症监护研究； c）创建新知识并根据数据存档开发临床工具，以告知和支持重症监护中的临床决策和实践。