关于电子病历数据二次利用的SHARPn项目：进展、计划与可能性
The SHARPn project on secondary use of Electronic Medical Record data: progress, plans, and possibilities.
作者信息
Chute Christopher G, Pathak Jyotishman, Savova Guergana K, Bailey Kent R, Schor Marshall I, Hart Lacey A, Beebe Calvin E, Huff Stanley M
机构信息
Mayo Clinic, Dept. Health Sciences Research, Rochester, MN, USA.
出版信息
AMIA Annu Symp Proc. 2011;2011:248-56. Epub 2011 Oct 22.
Abstract
SHARPn is a collaboration among 16 academic and industry partners committed to the production and distribution of high-quality software artifacts that support the secondary use of EMR data. Areas of emphasis are data normalization, natural language processing, high-throughput phenotyping, and data quality metrics. Our work avails the industrial scalability afforded by the Unstructured Information Management Architecture (UIMA) from IBM Watson Research labs, the same framework which underpins the Watson Jeopardy demonstration. This descriptive paper outlines our present work and achievements, and presages our trajectory for the remainder of the funding period. The project is one of the four Strategic Health IT Advanced Research Projects (SHARP) projects funded by the Office of the National Coordinator in 2010.
摘要
SHARPn是由16个学术和行业合作伙伴共同开展的合作项目，致力于生产和分发支持电子病历数据二次利用的高质量软件工件。重点领域包括数据标准化、自然语言处理、高通量表型分析和数据质量指标。我们的工作利用了IBM沃森研究实验室的非结构化信息管理架构（UIMA）所提供的工业可扩展性，该框架也是沃森危险边缘演示的基础。这篇描述性论文概述了我们目前的工作和成果，并预示了我们在剩余资助期内的发展轨迹。该项目是2010年由国家协调员办公室资助的四个战略健康信息技术高级研究项目（SHARP）之一。
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