Demner-Fushman Dina, Seckman Charlotte, Fisher Cheryl, Thoma George R
U.S. National Library of Medicine, NIH, Bethesda, MD, USA.
Stud Health Technol Inform. 2013;192:175-9.
Improving the safety, quality, and efficiency of care with the help of clinical decision support tools is one of the core objectives in the meaningful use of Electronic Health Records. Successful adoption of support systems depends on the quality of delivered information, its relevance to the clinical task and individual patient, integration of the system with the entire clinical workplace, and ease of use of the system. This paper presents continuous development and evaluation, as well as lessons learned in development and maintenance of an evidence-based system that supports development of individualized patient care plans. Since its deployment in August 2009, the Evidence-Based Practice InfoBot (EBP InfoBot) system is in daily use at the NIH Clinical Center and responds to 21 requests a day, on average.
借助临床决策支持工具提高医疗护理的安全性、质量和效率是有效使用电子健康记录的核心目标之一。支持系统的成功采用取决于所提供信息的质量、其与临床任务及个体患者的相关性、系统与整个临床工作场所的整合以及系统的易用性。本文介绍了一个支持个性化患者护理计划制定的循证系统的持续开发与评估，以及在开发和维护过程中吸取的经验教训。自2009年8月部署以来，循证实践信息机器人（EBP InfoBot）系统每天都在国立卫生研究院临床中心投入使用，平均每天响应21次请求。
