Annual OHDSI Symposium

年度 OHDSI 研讨会

• 批准号: 10448241
• 负责人: GEORGE M HRIPCSAK
• 金额: $ 10万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10448241
• 关键词: Annual; OHDSI; Symposium

Project Summary The Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") program is a multi- stakeholder, interdisciplinary collaborative formed to bring out the value of health data through large-scale analytics. All our solutions are open-source. OHDSI has established an international network of researchers and observational health databases with a central coordinating center housed at Columbia University’s Department of Biomedical Informatics. As a collaborative, one of our greatest strengths comes from working together with other stakeholders across the broader healthcare community. By connecting with those on the frontlines of medical decision making, we can ensure our goals are aligned with the needs of patients, clinicians and regulatory agencies. To engage with this broader audience, we propose holding an annual symposium with the objective of showcasing OHDSI’s achievements and offering hands-on training for OHDSI tools and methods. Furthermore, the symposium will provide a forum to discuss challenges facing large-scale observational research with a broad range of stakeholders, and request external feedback on how OHDSI collaboration could further foster an ecosystem designed to satisfy the needs of the healthcare community. This symposium will be a continuation of our previous symposia which has been offered annually since 2015 and hosted a wide range of stakeholder groups such as patients, clinicians, researchers, industry and government. At the event, OHDSI collaborators will present OHDSI’s vision and demonstrate our commitment to open science by sharing results from our most recent collaborative studies, carried out across our international research community. Presentations will be interactive and provide participants tangible examples of how observational data has been used to generate real world evidence about disease natural history and the effects of medical interventions. The annual symposium will give participants an opportunity to provide input on the priorities and future direction for how the OHDSI community should advance the research, development, and applications of observational research. This input will ensure the evidence generated within the OHDSI community is designed to answer the questions most important to patients, payers, providers and policy makers.

项目摘要 观察性卫生数据科学和信息学(或OHDSI，发音为“奥德赛”)计划是一个多- 利益相关者、跨学科协作，旨在通过大规模的 分析。我们所有的解决方案都是开源的。OHDSI建立了一个国际研究人员网络，并 观察健康数据库，中央协调中心设在哥伦比亚大学系 生物医学信息学的。作为一家协作型企业，我们最大的优势之一来自与 更广泛的医疗保健社区的其他利益相关者。通过与那些在前线的人联系 医疗决策，我们可以确保我们的目标与患者、临床医生和 监管机构。为了与这些更广泛的受众接触，我们建议与 目的是展示OHDSI的成就，并提供OHDSI工具和方法的实践培训。 此外，研讨会将提供一个论坛，讨论大规模观测研究面临的挑战。 与广泛的利益相关者合作，并就OHDSI协作如何进一步提供外部反馈 培育一个旨在满足医疗保健社区需求的生态系统。这次研讨会将是一个 延续我们之前的研讨会，自2015年以来每年举办一次，并举办了广泛的 利益相关者群体，如患者、临床医生、研究人员、行业和政府。在活动中，OHDSI 合作者将展示OHDSI的愿景，并通过分享成果展示我们对开放科学的承诺 来自我们最新的合作研究，在我们的国际研究界进行。 演示将是交互式的，并为参与者提供观测数据如何的有形示例 用于生成有关疾病、自然病史和医疗干预效果的真实世界证据。这个 年度研讨会将为与会者提供机会，就优先事项和未来方向提供意见 OHDSI社区应如何推进观测数据的研究、开发和应用 研究。此输入将确保在OHDSI社区内生成的证据旨在回答 对患者、付款人、提供者和政策制定者最重要的问题。