President's column: Informatics professionals--leading the way?
Author(s): Fickenscher, Kevin M
DOI: 10.1136/amiajnl-2012-001362
Author(s): Fickenscher, Kevin M
DOI: 10.1136/amiajnl-2012-001362
Author(s): Masys, Daniel, Williamson, Jeffrey J
DOI: 10.1136/amiajnl-2012-001054
To develop and evaluate a text mining system for extracting key clinical features from vaccine adverse event reporting system (VAERS) narratives to aid in the automated review of adverse event reports.
Author(s): Botsis, Taxiarchis, Buttolph, Thomas, Nguyen, Michael D, Winiecki, Scott, Woo, Emily Jane, Ball, Robert
DOI: 10.1136/amiajnl-2012-000881
Author(s): Fickenscher, Kevin M
DOI: 10.1136/amiajnl-2012-001225
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
Accurate and informed prescribing is essential to ensure the safe and effective use of medications in pediatric patients. Computerized clinical decision support (CCDS) functionalities have been embedded into computerized physician order entry systems with the aim of ensuring accurate and informed medication prescribing. Owing to a lack of comprehensive analysis of the existing literature, this review was undertaken to analyze the effect of CCDS implementation on medication prescribing and use [...]
Author(s): Stultz, Jeremy S, Nahata, Milap C
DOI: 10.1136/amiajnl-2011-000798