Outstanding submissions to the AMIA annual symposium now featured in JAMIA.
Author(s): Ohno-Machado, Lucia, Miller, Randolph A
DOI: 10.1197/jamia.m3021
Author(s): Ohno-Machado, Lucia, Miller, Randolph A
DOI: 10.1197/jamia.m3021
Medication errors constitute a major problem in all hospitals. Between 20% and 46% of prescriptions requiring dosage adjustments based on renal function are inappropriate. This study aimed to determine whether implementing alerts at the time of ordering medication integrated into the computerized physician order entry decreases the proportion of inappropriate prescriptions based on the renal function of inpatients.
Author(s): Sellier, Elodie, Colombet, Isabelle, Sabatier, Brigitte, Breton, Gaelle, Nies, Julie, Zapletal, Eric, Arlet, Jean-Benoit, Somme, Dominique, Durieux, Pierre
DOI: 10.1197/jamia.M2805
Health care information technology can be a means to improve quality and efficiency in the primary care setting. However, merely applying technology without addressing how it fits into provider workflow and existing systems is unlikely to achieve improvement goals. Improving quality of primary care, such as cancer screening rates, requires addressing barriers at system, provider, and patient levels. The authors report the development, implementation, and preliminary use of a new [...]
Author(s): Lester, William T, Ashburner, Jeffrey M, Grant, Richard W, Chueh, Henry C, Barry, Michael J, Atlas, Steven J
DOI: 10.1197/jamia.M2813
The authors implemented what is possibly the first secure messaging system in a VA Medical Center. Since reimbursement for secure messaging is not of great concern and clinical data systems are fully computerized, several evaluation strategies were used to assess clinical adoption. To address known concerns of clinicians, the authors analyzed secure messaging use and performed a content analysis. Message volumes were low and content analysis demonstrated that messages were [...]
Author(s): Byrne, John M, Elliott, Shane, Firek, Anthony
DOI: 10.1197/jamia.M2835
Biomedical named entity recognition (BNER) is a critical component in automated systems that mine biomedical knowledge in free text. Among different types of entities in the domain, gene/protein would be the most studied one for BNER. Our goal is to develop a gene/protein name recognition system BioTagger-GM that exploits rich information in terminology sources using powerful machine learning frameworks and system combination.
Author(s): Torii, Manabu, Hu, Zhangzhi, Wu, Cathy H, Liu, Hongfang
DOI: 10.1197/jamia.M2844
This study sought to investigate user interactions with an electronic health records (EHR) system by uncovering hidden navigational patterns in the EHR usage data automatically recorded as clinicians navigated through the system's software user interface (UI) to perform different clinical tasks.
Author(s): Zheng, Kai, Padman, Rema, Johnson, Michael P, Diamond, Herbert S
DOI: 10.1197/jamia.M2852
While our Y2K worries about old computers "retiring" at midnight captured the television and news media attention, a more significant "old age" phenomenon snuck onto the scene with hardly a headline: the dawn of the age of the aged. (1) The over burdened health care system will face a worldwide wave of retirees who will live longer, cost more to treat, and demand new goods and services to help them [...]
Author(s): Chatterjee, Samir, Price, Alan
DOI: 10.1197/jamia.M2859
In public health and health services research, the inclusion of geographic information in data sets is critical. Because of concerns over the re-identification of patients, data from small geographic areas are either suppressed or the geographic areas are aggregated into larger ones. Our objective is to estimate the population size cut-off at which a geographic area is sufficiently large so that no data suppression or further aggregation is necessary.
Author(s): El Emam, Khaled, Brown, Ann, AbdelMalik, Philip
DOI: 10.1197/jamia.M2902
The purpose of this study was to evaluate the adequacy of the International Classification of Nursing Practice (1) (ICPN) Version 1.0 as a representational model for nursing assessment documentation.
Author(s): Dykes, Patricia C, Kim, Hyeon-eui, Goldsmith, Denise M, Choi, Jeeyae, Esumi, Kumiko, Goldberg, Howard S
DOI: 10.1197/jamia.M2956
To measure the uncertainty of temporal assertions like "3 weeks ago" in clinical texts.
Author(s): Hripcsak, George, Elhadad, Noémie, Chen, Yueh-Hsia, Zhou, Li, Morrison, Frances P
DOI: 10.1197/jamia.M3007