McCormack James L, Ash Joan S
Oregon Health & Science University, Portland, OR, USA.
AMIA Annu Symp Proc. 2012;2012:1302-9. Epub 2012 Nov 3.
Clinical decision support (CDS), defined broadly as patient-specific information and knowledge provided at the point of care, depends on a foundation of high quality electronic patient data. Little is known about how clinicians perceive the quality and value of data used to support CDS within an electronic health record (EHR) environment.
During a three-year research study, we collected ethnographic data from ten diverse organizations, including community hospitals, academic medical centers and ambulatory clinics.
An in-depth analysis of the theme "data as a foundation for CDS" yielded a descriptive framework incorporating five subthemes related to data quality: completeness, accessibility, context specificity, accuracy, and reliability.
We identified several multi-dimensional models that might be used to conceptualize data quality characteristics for future research. These results could provide new insights to system designers and implementers on the importance clinicians place on specific data quality characteristics regarding electronic patient data for CDS.
临床决策支持(CDS)广义上定义为在医疗点提供的针对特定患者的信息和知识,它依赖于高质量电子患者数据这一基础。对于临床医生如何看待用于支持电子健康记录(EHR)环境中CDS的数据的质量和价值,我们知之甚少。
在一项为期三年的研究中,我们从十个不同的机构收集了人种学数据,这些机构包括社区医院、学术医疗中心和门诊诊所。
对“数据作为CDS的基础”这一主题的深入分析产生了一个描述性框架,该框架包含与数据质量相关的五个子主题:完整性、可及性、上下文特异性、准确性和可靠性。
我们确定了几个多维模型,可用于为未来研究概念化数据质量特征。这些结果可为系统设计者和实施者提供新的见解,使其了解临床医生对用于CDS的电子患者数据的特定数据质量特征的重视程度。