Moon Mark Chun, Hills Rebecca, Demiris George
Rush University Medical Center.
University of Washington.
J Innov Health Inform. 2018 Jun 30;25(2):109-125. doi: 10.14236/jhi.v25i2.1011.
Little is known about optimization of electronic health records (EHR) systems in the hospital setting while adoption of EHR systems continues in the United States.
To understand optimization processes of EHR systems undertaken in leading healthcare organizations in the United States.
Informed by grounded theory approach, a qualitative study was undertaken that involved 11 in-depth interviews and a focus group with the EHR experts from the high performing healthcare organizations across the United States.
The study describes EHR optimization processes characterized by prioritizing exponentially increasing requests with predominant focus on improving efficiency of EHR, building optimization teams or advisory groups, and standardization. The study discusses 16 types of optimization that interdependently produced 16 results along with identifying 11 barriers and 20 facilitators to optimization.
The study describes overall experiences of optimizing electronic health records in select high performing healthcare organizations in the US. The findings highlight the importance of optimizing the EHR after, and even before, go-live and dedicating resources exclusively for optimization.
在美国，电子健康记录（EHR）系统的采用仍在持续，而医院环境中电子健康记录系统的优化情况却鲜为人知。
了解美国领先医疗组织中电子健康记录系统的优化过程。
采用扎根理论方法进行定性研究，对来自美国各地高绩效医疗组织的11名电子健康记录专家进行了深入访谈，并组织了一次焦点小组讨论。
该研究描述了电子健康记录优化过程，其特点是优先处理呈指数级增长的请求，主要侧重于提高电子健康记录的效率、组建优化团队或咨询小组以及标准化。该研究讨论了16种相互依赖产生16种结果的优化类型，同时确定了11个优化障碍和20个优化促进因素。
该研究描述了美国部分高绩效医疗组织中优化电子健康记录的总体经验。研究结果强调了在上线前甚至上线后优化电子健康记录以及专门投入资源进行优化的重要性。
