Knowledge Mapping Across Disparate Patient Care Datasets

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 来自大型临床数据集，用于研究和政策讨论。这个 医疗机构采用电脑化病历(CPR) 承诺扩大潜在研究数据的来源，将临床数据包括在内 病人数据。应用卫生信息学可以提高卫生服务水平 和临床研究，以及提高医疗质量。 这个卫生信息学培训的主要目标是获得专业知识。 在对临床知识进行建模并将该知识映射到 可选的分类法和元语言。这方面的一种计算方法 知识建模和映射将使创建方法成为可能 从不同的数据存储系统聚合临床数据 分析。 拟议的研究是创建区域健康数据的第一步 存储库。总的来说，这项研究将探索各种健康数据如何 私营部门为促进医疗保健提供而创建的系统将 支持对两种健康的医疗保健信息进行二次分析 服务和临床研究。具体地说，本研究将检查 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医院感染相关的知识地图 索引到集成的通用统一医学语言系统(UMLS) 综合结果分析的知识库。

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.