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J Am Med Inform Assoc. 2017 Apr 1;24(e1):e185-e190. doi: 10.1093/jamia/ocw103.

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

Author information

1
US National Library of Medicine, Bethesda, Maryland.
2
School of Biomedical Informatics, University of Texas Health Science Center at Houston.
3
Department of Systems Biology, Columbia University, New York.
4
School of Nursing, University of Minnesota, Minneapolis.
5
US Centers for Disease Control and Prevention, Atlanta, Georgia.
6
Department of Human Centered Design and Engineering, University of Washington, Seattle.
7
Department of Applied Health Technology, Blekinge Institute of Technology, Blekinge, Sweden.
8
Department of Biomedical and Health Informatics, University of Washington.
9
Department of Biomedical Informatics, Stanford University School of Medicine, Stanford, California.
10
Department of Systems, Population, and Leadership, University of Michigan School of Nursing, Ann Arbor.
11
School of Nursing, University of Wisconsin-Madison.

Abstract

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.

KEYWORDS:

biomedical informatics; consumer engagement; electronic health records; learning health system; year in review

PMID:
27497798
PMCID:
PMC6080724
DOI:
10.1093/jamia/ocw103
[Indexed for MEDLINE]
Free PMC Article

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