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Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics

机译:生物医学信息学推进国家卫生议程:2015年AMIA临床和消费者信息学年度回顾

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摘要

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.
机译:就研究而言,生物医学信息学领域经历了丰硕的2015年。为了突出该研究的成就,得出趋势并从宏观水平上识别缺点,一个由19人组成的小组对临床和消费者信息学方面的文献进行了广泛的综述。该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演讲和一份书面报告(请参阅补充数据)。报告中详细列出了主要发现,并在此处进行了总结。本文按照三个主题组织了2015年以来的临床和消费者健康信息学研究:电子健康记录(EHR),学习健康系统(LHS)和消费者参与度。主要发现包括以下几个方面:(1)在建立实施EHR功能的策略方面取得了重大进展,但是必须增强互操作性才能吸引人们的注意力。 (2)决策支持系统改善了实践行为,但仍缺乏证据证明其对临床结果的影响。 (3)自然语言处理(NLP)的进步表明我们正在接近但尚未实现真正的交互式NLP系统。 (4)预测模型变得越来越强大,但由于缺乏可互操作的临床数据记录而受到阻碍。 (5)消费者可以并且将使用移动应用程序来提高参与度,但是EHR集成仍然难以捉摸。

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