Department of Veterans Affairs, VA Connecticut Healthcare System, West Haven, Connecticut, United States.
Section of Biomedical Informatics and Data Sciences, Yale University School of Medicine, New Haven, Connecticut, United States.
Appl Clin Inform. 2023 Oct;14(5):944-950. doi: 10.1055/a-2187-3243. Epub 2023 Oct 6.
Precise, reliable, valid metrics that are cost-effective and require reasonable implementation time and effort are needed to drive electronic health record (EHR) improvements and decrease EHR burden. Differences exist between research and vendor definitions of metrics. PROCESS: We convened three stakeholder groups (health system informatics leaders, EHR vendor representatives, and researchers) in a virtual workshop series to achieve consensus on barriers, solutions, and next steps to implementing the core EHR use metrics in ambulatory care. CONCLUSION: Actionable solutions identified to address core categories of EHR metric implementation challenges include: (1) maintaining broad stakeholder engagement, (2) reaching agreement on standardized measure definitions across vendors, (3) integrating clinician perspectives, and (4) addressing cognitive and EHR burden. Building upon the momentum of this workshop's outputs offers promise for overcoming barriers to implementing EHR use metrics.
需要精确、可靠、有效的指标,这些指标具有成本效益,并且需要合理的实施时间和精力,以推动电子健康记录 (EHR) 的改进并减轻 EHR 的负担。研究和供应商对指标的定义存在差异。
我们召集了三个利益相关者群体(卫生系统信息学领导者、EHR 供应商代表和研究人员)参加了一个虚拟研讨会系列,就实施门诊护理核心 EHR 使用指标的障碍、解决方案和下一步措施达成共识。
确定了可采取的解决方案来解决 EHR 指标实施挑战的核心类别,包括:(1)保持广泛的利益相关者参与,(2)在供应商之间就标准化衡量标准定义达成一致,(3)整合临床医生的观点,以及(4)解决认知和 EHR 负担问题。
基于本次研讨会的成果,有望克服实施 EHR 使用指标的障碍。