Integrating Data, Models, and Reasoning in Critical Care

在重症监护中整合数据、模型和推理

• 批准号: 7660296
• 负责人: ROGER GREENWOOD MARK
• 金额: $ 117.82万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-30 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7660296
• 关键词: Academia; Adult; Algorithms; Beds; Biological Models; Biomedical Engineering; Boston; Classification; Clinical; Clinical Medicine; Collaborations; Collection; Communities; Critical Care; Data; Databases; Decision Making; Decision Support Systems; Development; Effectiveness; Evaluation; Funding; Goals; Head; Imagery; Industry; Intensive Care; Intensive Care Units; Intention; Intervention; Investigation; Israel; Laboratory Study; Medical; Medical center; Methods; Modeling; Monitor; Neonatal; Neonatal Intensive Care Units; Newborn Infant; North America; Online Systems; Outcome; Patient Care; Patient Monitoring; Patients; Pattern; Phase; Physiological; Records; Research; Resources; Site; System; Technology; Testing; Work; base; computerized data processing; data mining; data modeling; design; improved; prospective; public health relevance; research clinical testing; tool

DESCRIPTION (provided by applicant): The objective of this Bioengineering Research Partnership, established in October 2003, is to develop and evaluate advanced ICU patient monitoring and decision support systems that will improve the efficiency, accuracy, and timeliness of clinical decision-making in critical care. The partnership combines the resources of a powerful interdisciplinary team from academia (MIT), industry (Philips Medical Systems and Philips Research North America), and clinical medicine (Beth Israel Deaconess Medical Center). During the initial funding period of this BRP substantial progress has been achieved, including the development of a massive new research database from more than 30,000 ICU patients (the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC) II database) and a number of promising advanced monitoring concepts and algorithms. Our initial work has substantiated the hypothesis that sophisticated analysis of the rich multi-parameter data gathered from ICU patients can illuminate their changing pathophysiologic state, and can even provide alerts of impending changes in state. The major goals for the second phase of this BRP are to develop and demonstrate the effectiveness of advanced monitoring concepts and algorithms in laboratory studies utilizing the resources of MIMIC II, and then to carry successful concepts forward into clinical tests in the ICUs of Beth Israel Deaconess Medical Center (BIDMC) and elsewhere with the collaboration of our clinical and industrial partners. We also will enhance the value and availability of the MIMIC II database by adding new adult and neonatal data, designing and improving sophisticated data mining and signal processing tools, and freely distributing to the research community the database and its associated exploration tools via PhysioNet (www.physiionet.org). PUBLIC HEALTH RELEVANCE The objective of this Bioengineering Research Partnership, established in October 2003, is to develop and evaluate advanced ICU patient monitoring and decision support systems that will improve the efficiency, accuracy, and timeliness of clinical decision-making in critical care.

描述（由申请人提供）：该生物工程研究合作伙伴关系成立于2003年10月，目标是开发和评估先进的ICU患者监测和决策支持系统，以提高重症监护临床决策的效率、准确性和及时性。该合作伙伴关系结合了来自学术界（麻省理工学院），工业界（飞利浦医疗系统和飞利浦北美研究）和临床医学（贝斯以色列女执事医疗中心）的强大跨学科团队的资源。