Biomedical informatics: how we got here and where we are headed.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000363
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000363
The electronic medical record (EMR)/electronic health record (EHR) is becoming an integral component of many primary-care outpatient practices. Before implementing an EMR/EHR system, primary-care practices should have an understanding of the potential benefits and limitations.
Author(s): Holroyd-Leduc, Jayna M, Lorenzetti, Diane, Straus, Sharon E, Sykes, Lindsay, Quan, Hude
DOI: 10.1136/amiajnl-2010-000019
Open-source clinical natural-language-processing (NLP) systems have lowered the barrier to the development of effective clinical document classification systems. Clinical natural-language-processing systems annotate the syntax and semantics of clinical text; however, feature extraction and representation for document classification pose technical challenges.
Author(s): Garla, Vijay, Lo Re, Vincent, Dorey-Stein, Zachariah, Kidwai, Farah, Scotch, Matthew, Womack, Julie, Justice, Amy, Brandt, Cynthia
DOI: 10.1136/amiajnl-2011-000093
Due to the high cost of manual curation of key aspects from the scientific literature, automated methods for assisting this process are greatly desired. Here, we report a novel approach to facilitate MeSH indexing, a challenging task of assigning MeSH terms to MEDLINE citations for their archiving and retrieval.
Author(s): Huang, Minlie, Névéol, Aurélie, Lu, Zhiyong
DOI: 10.1136/amiajnl-2010-000055
Systematic study of clinical phenotypes is important for a better understanding of the genetic basis of human diseases and more effective gene-based disease management. A key aspect in facilitating such studies requires standardized representation of the phenotype data using common data elements (CDEs) and controlled biomedical vocabularies. In this study, the authors analyzed how a limited subset of phenotypic data is amenable to common definition and standardized collection, as well [...]
Author(s): Pathak, Jyotishman, Wang, Janey, Kashyap, Sudha, Basford, Melissa, Li, Rongling, Masys, Daniel R, Chute, Christopher G
DOI: 10.1136/amiajnl-2010-000061
Prescription drugs can be associated with adverse effects (AEs) that are unrecognized despite evidence in the medical literature, as shown by rofecoxib's late recall in 2004. We assessed whether applying information mining to PubMed could reveal major drug-AE associations if articles testing whether drugs cause AEs are over-represented in the literature.
Author(s): Shetty, Kanaka D, Dalal, Siddhartha R
DOI: 10.1136/amiajnl-2011-000096
To identify ways for improving the consistency of design, conduct, and results reporting of time and motion (T&M) research in health informatics.
Author(s): Zheng, Kai, Guo, Michael H, Hanauer, David A
DOI: 10.1136/amiajnl-2011-000083
As biomedical technology becomes increasingly sophisticated, researchers can probe ever more subtle effects with the added requirement that the investigation of small effects often requires the acquisition of large amounts of data. In biomedicine, these data are often acquired at, and later shared between, multiple sites. There are both technological and sociological hurdles to be overcome for data to be passed between researchers and later made accessible to the larger [...]
Author(s): Helmer, Karl G, Ambite, Jose Luis, Ames, Joseph, Ananthakrishnan, Rachana, Burns, Gully, Chervenak, Ann L, Foster, Ian, Liming, Lee, Keator, David, Macciardi, Fabio, Madduri, Ravi, Navarro, John-Paul, Potkin, Steven, Rosen, Bruce, Ruffins, Seth, Schuler, Robert, Turner, Jessica A, Toga, Arthur, Williams, Christina, Kesselman, Carl, ,
DOI: 10.1136/amiajnl-2010-000032
Using an eight-dimensional model for studying socio-technical systems, a multidisciplinary team of investigators identified barriers and facilitators to clinical decision support (CDS) implementation in a community setting, the Mid-Valley Independent Physicians Association in the Salem, Oregon area. The team used the Rapid Assessment Process, which included nine formal interviews with CDS stakeholders, and observation of 27 clinicians. The research team, which has studied 21 healthcare sites of various sizes over [...]
Author(s): Ash, Joan S, Sittig, Dean F, Wright, Adam, McMullen, Carmit, Shapiro, Michael, Bunce, Arwen, Middleton, Blackford
DOI: 10.1136/amiajnl-2010-000013
As computing and network capabilities continue to rise, it becomes increasingly important to understand the varied applications for using them to provide healthcare. The objective of this review is to identify key characteristics and attributes of healthcare applications involving the use of advanced computing and communication technologies, drawing upon 45 research and development projects in telemedicine and other aspects of healthcare funded by the National Library of Medicine over the [...]
Author(s): Ackerman, Michael, Locatis, Craig
DOI: 10.1136/amiajnl-2010-000054