Innovative approaches to support patient decision making, improve safety, and enable large-scale clinical research.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000707
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000707
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 [...]
Author(s): Kim, Hyeon-Eui, Jiang, Xiaoqian, Kim, Jihoon, Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000706
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.
Author(s): Hripcsak, George, Albers, David J, Perotte, Adler
DOI: 10.1136/amiajnl-2011-000463
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.
Author(s): Goel, Mita Sanghavi, Brown, Tiffany L, Williams, Adam, Cooper, Andrew J, Hasnain-Wynia, Romana, Baker, David W
DOI: 10.1136/amiajnl-2011-000473
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.
Author(s): Boxwala, Aziz A, Rocha, Beatriz H, Maviglia, Saverio, Kashyap, Vipul, Meltzer, Seth, Kim, Jihoon, Tsurikova, Ruslana, Wright, Adam, Paterno, Marilyn D, Fairbanks, Amanda, Middleton, Blackford
DOI: 10.1136/amiajnl-2011-000334
The re-use of patient data from electronic healthcare record systems can provide tremendous benefits for clinical research, but measures to protect patient privacy while utilizing these records have many challenges. Some of these challenges arise from a misperception that the problem should be solved technically when actually the problem needs a holistic solution.
Author(s): Murphy, Shawn N, Gainer, Vivian, Mendis, Michael, Churchill, Susanne, Kohane, Isaac
DOI: 10.1136/amiajnl-2011-000316
Medication-related decision support can reduce the frequency of preventable adverse drug events. However, the design of current medication alerts often results in alert fatigue and high over-ride rates, thus reducing any potential benefits.
Author(s): Zachariah, Marianne, Phansalkar, Shobha, Seidling, Hanna M, Neri, Pamela M, Cresswell, Kathrin M, Duke, Jon, Bloomrosen, Meryl, Volk, Lynn A, Bates, David W
DOI: 10.1136/amiajnl-2011-000362
Many clinical research data integration platforms rely on the Entity-Attribute-Value model because of its flexibility, even though it presents problems in query formulation and execution time. The authors sought more balance in these traits.
Author(s): Wade, Ted D, Hum, Richard C, Murphy, James R
DOI: 10.1136/amiajnl-2011-000339
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.
Author(s): Strom, Brian L, Schinnar, Rita, Jones, Joshua, Bilker, Warren B, Weiner, Mark G, Hennessy, Sean, Leonard, Charles E, Cronholm, Peter F, Pifer, Eric
DOI: 10.1136/amiajnl-2010-000057
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 [...]
Author(s): Weber, Griffin M, Barnett, William, Conlon, Mike, Eichmann, David, Kibbe, Warren, Falk-Krzesinski, Holly, Halaas, Michael, Johnson, Layne, Meeks, Eric, Mitchell, Donald, Schleyer, Titus, Stallings, Sarah, Warden, Michael, Kahlon, Maninder, ,
DOI: 10.1136/amiajnl-2011-000200