Division of Digital Healthcare Research, Agency for Healthcare Research and Quality, Rockville, Maryland, USA.
Healthcare Delivery and Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, USA.
J Am Med Inform Assoc. 2021 Apr 23;28(5):1057-1061. doi: 10.1093/jamia/ocaa238.
Clinicians face competing pressures of being clinically productive while using imperfect electronic health record (EHR) systems and maximizing face-to-face time with patients. EHR use is increasingly associated with clinician burnout and underscores the need for interventions to improve clinicians' experiences. With an aim of addressing this need, we share evidence-based informatics approaches, pragmatic next steps, and future research directions to improve 3 of the highest contributors to EHR burden: (1) documentation, (2) chart review, and (3) inbox tasks. These approaches leverage speech recognition technologies, natural language processing, artificial intelligence, and redesign of EHR workflow and user interfaces. We also offer a perspective on how EHR vendors, healthcare system leaders, and policymakers all play an integral role while sharing responsibility in helping make evidence-based sociotechnical solutions available and easy to use.
临床医生面临着在使用不完善的电子健康记录 (EHR) 系统的同时保持临床工作效率并最大限度地增加与患者面对面交流时间的压力。EHR 的使用与临床医生的倦怠感越来越相关，这凸显了需要采取干预措施来改善临床医生的体验。为了满足这一需求，我们分享了基于证据的信息学方法、实用的下一步措施和未来的研究方向，以改善 EHR 负担的 3 个主要来源：（1）文档记录，（2）图表审查，以及（3）收件箱任务。这些方法利用了语音识别技术、自然语言处理、人工智能以及 EHR 工作流程和用户界面的重新设计。我们还提供了一个视角，即 EHR 供应商、医疗保健系统领导者和政策制定者在共同承担责任，帮助提供和使用基于证据的社会技术解决方案方面都发挥着不可或缺的作用。
