A research opportunity index to measure biomedical research disparities across the disease landscape.

用于衡量整个疾病领域生物医学研究差异的研究机会指数。

• 批准号: 9265936
• 负责人: Lixia Yao
• 金额: $ 17.85万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-01 至 2019-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9265936
• 关键词: Address; Affect; Area; Attention; Attitude; Biomedical Research; Biotechnology; Budgets; Clinical Trials; Communities; Complex; Cost of Illness; Custom; Data; Data Set; Data Sources; Decision Making; Developed Countries; Developing Countries; Development; Diagnostic; Disease; Drug Industry; Ecosystem; Equilibrium; Evaluation; Face; Feedback; Funding; Funding Agency; Future; Goals; Government; Guidelines; Health; Health Care Research; Health Policy; Healthcare; Human; Informatics; Institutes; Intellectual Property; Internet; Investments; Journals; K-Series Research Career Programs; Knowledge; Lead; Legal patent; Literature; Longevity; Measurable; Measures; Medical; Medical Device; Medicine; Methods; Modeling; Outcome; Paper; Perception; Pharmacologic Substance; Plug-in; Population; Population Group; Positioning Attribute; Prevalence; Principal Investigator; Private Sector; Privatization; Public Health; Publishing; Reference Books; Reporting; Research; Research Personnel; Resource Allocation; Resources; Running; Rural; Scheme; Scientist; Social Welfare; Societies; Specific qualifier value; Surveys; Terminology; Therapeutic; Time; Time trend; Treatment Cost; United States; United States Food and Drug Administration; United States National Institutes of Health; Visualization software; Weight; burden of illness; clinical development; cost effective; data visualization; high dimensionality; improved; indexing; interest; news; novel therapeutics; population health; research and development; risk mitigation; social; text searching; tool; translational medicine; user-friendly

 DESCRIPTION (provided by applicant): Even as population health improves and longevity increases around the globe, there will always be more biomedical problems than solutions. Strategically prioritizing and allocating the limited societal resources to discover and develop cost-effective pharmaceuticals, medical devices and other diagnostics for diseases and medical conditions with the highest return on investment motivates many governmental and private funding agencies, pharmaceutical and biotech companies, clinicians and scientists. Unfortunately, due to the complexity of the biomedical research ecosystem and the scarcity of relevant data, no systematic studies have been done to comprehensively survey the past allocation of resources (i.e., funding, attention from the scientific community, clinical development) or guide the future redistribution of resources for maximal societal benefit. The goal of this project is to create a disease-specific Research Opportunity Index (ROI) and a Public Health Index (PHI) to gauge the imbalance between the disease burden associated with a particular disease or all medical conditions as a whole and the associated resource allocation over time. The project has the following specific aims: 1) collect data on key measurable factors related to biomedical research resource allocation; 2) develop and evaluate quantitative models; and 3) build a visualization tool to represent and interpret high-dimensional data. More specifically, sophisticated text mining and terminology-mapping methods will be developed to identify and quantify several key factors in biomedical research ecosystem (i.e., burden of disease, focus of the scientific community, clinical development popularity, current availability o diagnostics and medicine, funding, and/or attention from public media and intellectual property protection). By integrating these data, the ROI and PHI will be calculated for about 1,400 medical conditions over a decade period, to identify ignored niches for future research. The high-dimensional data and results will be represented and delivered to various stakeholders along the healthcare value chain using an interactive visualization tool to facilitate their decisin making. In addition to advancing the field of healthcare policy and management, this career development award will position the principal investigator as an independent researcher at the intersection of informatics and public health.

 描述（由适用提供）：即使人口健康的改善和寿命在全球范围内增加，也总是会有比解决方案更多的生物医学问题。从战略上将有限的社会资源对疾病和最高投资回报率的疾病和医疗状况进行成本效益的药品，医疗设备和其他诊断剂进行战略性置于优先级和分配，以促进许多政府和私人资助机构，制药和生物技术公司，临床医生，临床医生和科学家。不幸的是，由于生物医学研究生态系统的复杂性和相关数据的稀缺性，尚未进行系统的研究来全面调查过去的资源分配（即资助，科学界的关注，临床发展）或指导未来的资源重新分配以获得最大的社交益处。 该项目的目的是创建特定疾病的研究机会指数（ROI）和公共卫生指数（PHI），以评估与特定疾病或整个医疗状况相关的疾病燃烧之间的不平衡与随着时间的流逝相关的资源分配。该项目具有以下具体目的：1）收集有关与生物医学研究资源分配有关的关键可测量因素的数据； 2）开发和评估定量模型； 3）建立一个可视化工具来表示和解释高维数据。更具体地说，将开发复杂的文本挖掘和术语映射方法，以识别和量化生物医学研究生态系统中的几个关键因素（即疾病的燃烧，科学界的焦点，临床发展，流行，当前的可用性O诊断和医学，资金，资金以及/或来自公共媒体媒体和知识产权保护的关注）。通过集成这些数据，将在十年内计算大约1,400个医疗状况的ROI和PHI，以确定忽略的未来研究的壁nik。高维数据和结果将使用交互式可视化工具沿医疗保健价值链表示并交付给各种利益相关者，以促进他们的决策。 除了促进医疗保健政策和管理领域外，该职业发展奖还将在信息与公共卫生交集的交集中将首席研究人员定位为独立研究人员。