American College of Medical Informatics fellows, 2010 and 2011.
Author(s): Masys, Daniel, Williamson, Jeffrey J
DOI: 10.1136/amiajnl-2012-001054
Author(s): Masys, Daniel, Williamson, Jeffrey J
DOI: 10.1136/amiajnl-2012-001054
Author(s): Fickenscher, Kevin M
DOI: 10.1136/amiajnl-2012-001225
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
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
The utility of healthcare utilization data from US emergency departments (EDs) for rapid monitoring of changes in influenza-like illness (ILI) activity was highlighted during the recent influenza A (H1N1) pandemic. Monitoring has tended to rely on detection algorithms, such as the Early Aberration Reporting System (EARS), which are limited in their ability to detect subtle changes and identify disease trends.
Author(s): Kass-Hout, Taha A, Xu, Zhiheng, McMurray, Paul, Park, Soyoun, Buckeridge, David L, Brownstein, John S, Finelli, Lyn, Groseclose, Samuel L
DOI: 10.1136/amiajnl-2011-000793
Applying multiprofessional electronic health records (EHRs) is expected to improve the quality of patient care and patient safety. Both EHR systems and system users depend on semantic interoperability to function efficiently. A shared clinical terminology comprising unambiguous terms is required for semantic interoperability. Empirical studies of clinical terminology, such as predefined headings, in EHR systems are scarce and limited to one profession or one clinical specialty.
Author(s): Terner, Annika, Lindstedt, Helena, Sonnander, Karin
DOI: 10.1136/amiajnl-2012-000855
Author(s): Russ, Alissa L, Weiner, Michael, Saleem, Jason J, Wears, Robert L
DOI: 10.1136/amiajnl-2012-001193
In parts of the developing world traditionally modeled healthcare systems do not adequately meet the needs of the populace. This can be due to imbalances in both supply and demand--there may be a lack of sufficient healthcare and the population most at need may be unable or unwilling to take advantage of it. Home-based care has emerged as a possible mechanism to bring healthcare to the populace in a cost-effective [...]
Author(s): Rajput, Zeshan A, Mbugua, Samuel, Amadi, David, Chepngeno, Viola, Saleem, Jason J, Anokwa, Yaw, Hartung, Carl, Borriello, Gaetano, Mamlin, Burke W, Ndege, Samson K, Were, Martin C
DOI: 10.1136/amiajnl-2011-000476
Although trait-associated genes identified as complex versus single-gene inheritance differ substantially in odds ratio, the authors nonetheless posit that their mechanistic concordance can reveal fundamental properties of the genetic architecture, allowing the automated interpretation of unique polymorphisms within a personal genome.
Author(s): Regan, Kelly, Wang, Kanix, Doughty, Emily, Li, Haiquan, Li, Jianrong, Lee, Younghee, Kann, Maricel G, Lussier, Yves A
DOI: 10.1136/amiajnl-2011-000656