Automated matching of relevant research studies to patient records for EBM

描述（由申请人提供）：EBM项目摘要：迫切需要将医疗保健的交付、管理和评估与已发表的临床试验结果中可用的最新证据保持一致。这可以大规模地改善医疗保健结果和成本效益。但是，将证据带到法庭的过程目前是有限的，而且应用不均衡。循证医学的标准方法依赖于医生持续的劳动密集型努力，以识别和研究与患者相关的新证据。另一种选择是提供自动化的软件工具，但目前可用的工具是不完整的，并且仅限于将简化的预消化指南应用于可用的预结构化患者数据，这忽略了原始临床记录中表达的许多重要方面。拟议中的项目将创建一个软件系统，通过自动识别包含与特定患者临床记录最相关的证据的已发表研究，来克服这些限制。拟议中的软件将通过创建和匹配研究和临床记录的自动构建摘要（包括处理其完整的原始非结构化文本）来实现这一点。该项目将开发一个原型软件系统，并对其准确性进行严格的评估。如果成功，这项工作将产生能够提高医疗保健评估的效率和准确性的软件产品，并显著提高医生对影响患者护理的相关证据的认识。

DESCRIPTION (provided by applicant): Automated matching of relevant research studies to patient records for EBM Project Summary There is an urgent need to align the delivery, administration, and evaluation of healthcare with the most up-to-date evidence available from published results of clinical trials. This could improve healthcare outcomes and cost-effectiveness on a large scale. But the processes for bringing evidence to bear are currently limited and are applied unevenly. The standard approach to evidence-based medicine depends upon sustained labor-intensive efforts by physicians to identify and study new evidence relevant to their patients. The alternative is to provide automated software tools, but currently available tools are incomplete and are limited to applying simplified pre-digested guidelines to the available pre-structured patient data, which misses many important aspects expressed in the original clinical record. The proposed project will create a software system that overcomes these limitations by automatically identifying published research studies that contain the evidence most relevant to specific patient clinical records. The proposed software will do this by creating and then matching automatically-constructed summaries of both research studies and clinical records (including processing their full original unstructured text). This project will develop a prototype software system and conduct a rigorous evaluation of its accuracy. If successful, this effort will lead to software products that can improve efficiency and precision of healthcare evaluations and significantly raise physician awareness of relevant evidence affecting patient care. PUBLIC HEALTH RELEVANCE: Automated matching of relevant research studies to patient records for EBM Project Narrative The wealth of evidence in published medical research studies is applied unevenly today. If successful, the proposed project will lead to software products that automatically and accurately identify the medical evidence most relevant for individual patients based on their complete medical records. Such software products would have the potential to improve healthcare outcomes and cost-effectiveness on a large scale.