Knowledge Mapping Across Disparate Patient Care Datasets

不同患者护理数据集的知识图谱

• 批准号: 6622211
• 负责人: RACHEL L RICHESSON
• 金额: $ 5.85万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-02-01 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/6622211
• 关键词: data collection methodology /evaluation; drug resistance; human data; indexing; informatics; information systems; information theory; medical records; nosocomial infections; patient care management; predoctoral investigator; vancomycin

DESCRIPTION: (provided by applicant) Health informatics can yield computational insight in assimilating knowledge from large clinical datasets for both research and policy discussion. The adoption of computerized patient records (CPR) by healthcare organizations promises to expand the sources potential research data to include clinical patient data. Applications of health informatics can enhance health services and clinical research, as well as improve healthcare quality. A primary goal of this traineeship in health informatics is to gain expertise in the modeling of clinical knowledge and the mapping of this knowledge to alternative taxonomies and meta-languages. A computational approach to this knowledge modeling and mapping will enable the creation of methodologies for aggregating clinical data from disparate data storage systems for large analyses. The proposed research is a first step in creating a regional health data repository. Broadly, this research will explore how various health data systems created by the private sector to facilitate healthcare delivery will support the secondary analysis of healthcare information for both health services and clinical research. Specifically, this research will examine the attributes and knowledge representation of multiple patient care data sources, and map the knowledge relevant to vancomycin-resistant nosocomial infections indexed to a common Unified Medical Language System (UMLS) integrated knowledge base for combined outcomes analyses.

描述：（申请人提供） 健康信息学可以在吸收知识方面产生计算洞察力 从大型临床数据集进行研究和政策讨论。这 医疗组织采用计算机记录（CPR） 有望扩大潜在研究数据的来源以包括临床 患者数据。健康信息学的应用可以增强卫生服务 和临床研究，并提高医疗保健质量。 这项健康信息学实习的主要目标是获得专业知识 在临床知识的建模和将这些知识映射到 替代分类学和元语言。一种计算方法 知识建模和映射将使创建方法论 从不同的数据存储系统中汇总临床数据 分析。 拟议的研究是创建区域健康数据的第一步 存储库。从广义上讲，这项研究将探讨各种健康数据 私营部门为促进医疗保健提供的系统将 支持医疗信息的二级分析 服务和临床研究。具体来说，这项研究将研究 多个患者护理数据源的属性和知识表示， 并绘制与万古霉素耐药的医院感染相关的知识 索引统一的统一医学语言系统（UMLS） 合并结果分析的知识库。