Roberts Kirk, Boland Mary Regina, Pruinelli Lisiane, Dcruz Jina, Berry Andrew, Georgsson Mattias, Hazen Rebecca, Sarmiento Raymond F, Backonja Uba, Yu Kun-Hsing, Jiang Yun, Brennan Patricia Flatley
US National Library of Medicine, Bethesda, Maryland.
School of Biomedical Informatics, University of Texas Health Science Center at Houston.
J Am Med Inform Assoc. 2017 Apr 1;24(e1):e185-e190. doi: 10.1093/jamia/ocw103.
The field of biomedical informatics experienced a productive 2015 in terms of research. In order to highlight the accomplishments of that research, elicit trends, and identify shortcomings at a macro level, a 19-person team conducted an extensive review of the literature in clinical and consumer informatics. The result of this process included a year-in-review presentation at the American Medical Informatics Association Annual Symposium and a written report (see supplemental data). Key findings are detailed in the report and summarized here. This article organizes the clinical and consumer health informatics research from 2015 under 3 themes: the electronic health record (EHR), the learning health system (LHS), and consumer engagement. Key findings include the following: (1) There are significant advances in establishing policies for EHR feature implementation, but increased interoperability is necessary for these to gain traction. (2) Decision support systems improve practice behaviors, but evidence of their impact on clinical outcomes is still lacking. (3) Progress in natural language processing (NLP) suggests that we are approaching but have not yet achieved truly interactive NLP systems. (4) Prediction models are becoming more robust but remain hampered by the lack of interoperable clinical data records. (5) Consumers can and will use mobile applications for improved engagement, yet EHR integration remains elusive.
生物医学信息学领域在2015年的研究方面成果丰硕。为了突出该研究的成果、引出发展趋势并在宏观层面识别不足之处,一个由19人组成的团队对临床和消费者信息学方面的文献进行了广泛的综述。这一过程的结果包括在美国医学信息学协会年度研讨会上进行的年度回顾报告以及一份书面报告(见补充数据)。关键发现已在报告中详细阐述,并在此进行总结。本文将2015年的临床和消费者健康信息学研究按照三个主题进行组织:电子健康记录(EHR)、学习型健康系统(LHS)和消费者参与。关键发现如下:(1)在制定电子健康记录功能实施政策方面取得了重大进展,但要使其获得广泛应用,还需要提高互操作性。(2)决策支持系统改善了医疗行为,但仍缺乏其对临床结果影响的证据。(3)自然语言处理(NLP)的进展表明,我们正在接近但尚未实现真正的交互式NLP系统。(4)预测模型正变得更加稳健,但仍因缺乏可互操作的临床数据记录而受到阻碍。(5)消费者能够且愿意使用移动应用程序来提高参与度,但电子健康记录的整合仍然难以实现。