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This report, based on a workshop jointly sponsored the National Institute of Biomedical Imaging and Biomedical Engineering and the Office of the National Coordinator for Health Information Technology, examines the role and value of images as multimedia data in electronic health records (EHRs). The workshop, attended by a wide range of stakeholders, was motivated in part by the absence of image data from discussions of meaningful use of health information [...]

To develop a theoretically informed and empirically validated survey instrument for assessing prescribers' perception of computerized drug-drug interaction (DDI) alerts.

Biomedical informatics is a young, highly interdisciplinary field that is evolving quickly. It is important to know which published topics in generalist biomedical informatics journals elicit the most interest from the scientific community, and whether this interest changes over time, so that journals can better serve their readers. It is also important to understand whether free access to biomedical informatics articles impacts their citation rates in a significant way, so [...]

To demonstrate that a large, heterogeneous clinical database can reveal fine temporal patterns in clinical associations; to illustrate several types of associations; and to ascertain the value of exploiting time.

Previous studies of patient portals have found low rates of enrollment and significant disparities in enrollment by race and ethnicity. As the reasons for these findings are unclear, we sought to identify patient reported barriers to enrollment in a patient portal.

To determine whether a rule-based algorithm applied to an outpatient electronic medical record (EMR) can identify patients who are pregnant and prescribed medications proved to cause birth defects.

There are several challenges in encoding guideline knowledge in a form that is portable to different clinical sites, including the heterogeneity of clinical decision support (CDS) tools, of patient data representations, and of workflows.

Research-networking tools use data-mining and social networking to enable expertise discovery, matchmaking and collaboration, which are important facets of team science and translational research. Several commercial and academic platforms have been built, and many institutions have deployed these products to help their investigators find local collaborators. Recent studies, though, have shown the growing importance of multiuniversity teams in science. Unfortunately, the lack of a standard data-exchange model and resistance of [...]