Informatics 2.0: implications of social media, mobile health, and patient-reported outcomes for healthcare and individual privacy.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2012-001224
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2012-001224
Residual clinical samples represent a very appealing source of biomaterial for translational and clinical research. We describe the implementation of an opt-in biobank, with consent being obtained at the time of registration and the decision stored in our electronic health record, Epic. Information on that decision, along with laboratory data, is transferred to an application that signals to biobank staff whether a given sample can be kept for research. Investigators [...]
Author(s): Marsolo, Keith, Corsmo, Jeremy, Barnes, Michael G, Pollick, Carrie, Chalfin, Jamie, Nix, Jeremy, Smith, Christopher, Ganta, Rajesh
DOI: 10.1136/amiajnl-2012-000960
Author(s): Russ, Alissa L, Weiner, Michael, Saleem, Jason J, Wears, Robert L
DOI: 10.1136/amiajnl-2012-001193
The Department of Veterans Affairs (VA) operates one of the largest nationwide healthcare systems and is increasing use of internet technology, including development of an online personal health record system called My HealtheVet. This study examined internet use among veterans in general and particularly use of online health information among VA patients and specifically mental health service users.
Author(s): Tsai, Jack, Rosenheck, Robert A
DOI: 10.1136/amiajnl-2012-000971
Author(s): Handler, Jonathan A, Adams, James G
DOI: 10.1136/amiajnl-2012-001149
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
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000707
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
To develop a theoretically informed and empirically validated survey instrument for assessing prescribers' perception of computerized drug-drug interaction (DDI) alerts.
Author(s): Zheng, Kai, Fear, Kathleen, Chaffee, Bruce W, Zimmerman, Christopher R, Karls, Edward M, Gatwood, Justin D, Stevenson, James G, Pearlman, Mark D
DOI: 10.1136/amiajnl-2010-000053
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