Automated matching of relevant research studies to patient records for EBM

描述(由申请人提供)：相关研究研究与循证医学项目摘要患者记录的自动匹配迫切需要使医疗保健的提供、管理和评估与已公布的临床试验结果中可用的最新证据保持一致。这可能会在很大程度上改善医疗保健结果和成本效益。但目前拿出证据的程序有限，应用也不均衡。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，但目前可用的工具并不完整，仅限于将简化的预先消化的指南应用于可用的预先结构化的患者数据，这错过了原始临床记录中表达的许多重要方面。拟议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。拟议的软件将通过创建并匹配研究研究和临床记录的自动构建摘要来实现这一点(包括处理其完整的原始非结构化文本)。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，这一努力将带来软件产品，可以提高医疗评估的效率和准确性，并显著提高医生对影响患者护理的相关证据的认识。 公共卫生相关性：循证医学项目叙事中相关研究研究与患者记录的自动匹配今天，已发表的医学研究中的大量证据被不均衡地应用。如果成功，拟议的项目将产生软件产品，根据患者的完整医疗记录，自动准确地识别与患者个人最相关的医学证据。这样的软件产品将有可能大规模改善医疗保健结果和成本效益。

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.