Informatics that works for you.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2013-001667
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2013-001667
Clinical documentation is central to the medical record and so to a range of healthcare and business processes. As electronic health record adoption expands, computerized provider documentation (CPD) is increasingly the primary means of capturing clinical documentation. Previous CPD studies have focused on particular stakeholder groups and sites, often limiting their scope and conclusions. To address this, we studied multiple stakeholder groups from multiple sites across the USA.
Author(s): Embi, Peter J, Weir, Charlene, Efthimiadis, Efthimis N, Thielke, Stephen M, Hedeen, Ashley N, Hammond, Kenric W
DOI: 10.1136/amiajnl-2012-000946
To create annotated clinical narratives with layers of syntactic and semantic labels to facilitate advances in clinical natural language processing (NLP). To develop NLP algorithms and open source components.
Author(s): Albright, Daniel, Lanfranchi, Arrick, Fredriksen, Anwen, Styler, William F, Warner, Colin, Hwang, Jena D, Choi, Jinho D, Dligach, Dmitriy, Nielsen, Rodney D, Martin, James, Ward, Wayne, Palmer, Martha, Savova, Guergana K
DOI: 10.1136/amiajnl-2012-001317
Author(s): Fickenscher, Kevin
DOI: 10.1136/amiajnl-2012-001515
Author(s): Malin, Bradley A, Emam, Khaled El, O'Keefe, Christine M
DOI: 10.1136/amiajnl-2012-001509
To assess patients' desire for granular level privacy control over which personal health information should be shared, with whom, and for what purpose; and whether these preferences vary based on sensitivity of health information.
Author(s): Caine, Kelly, Hanania, Rima
DOI: 10.1136/amiajnl-2012-001023
In 2011, the US Supreme Court decided Sorrell v. IMS Health, Inc., a case that addressed the mining of large aggregated databases and the sale of prescriber data for marketing prescription drugs. The court struck down a Vermont law that required data mining companies to obtain permission from individual providers before selling prescription records that included identifiable physician prescription information to pharmaceutical companies for drug marketing. The decision was based [...]
Author(s): Petersen, Carolyn, Demuro, Paul, Goodman, Kenneth W, Kaplan, Bonnie
DOI: 10.1136/amiajnl-2012-001123
Online health knowledge resources contain answers to most of the information needs raised by clinicians in the course of care. However, significant barriers limit the use of these resources for decision-making, especially clinicians' lack of time. In this study we assessed the feasibility of automatically generating knowledge summaries for a particular clinical topic composed of relevant sentences extracted from Medline citations.
Author(s): Jonnalagadda, Siddhartha Reddy, Del Fiol, Guilherme, Medlin, Richard, Weir, Charlene, Fiszman, Marcelo, Mostafa, Javed, Liu, Hongfang
DOI: 10.1136/amiajnl-2012-001347
To develop, evaluate, and share: (1) syntactic parsing guidelines for clinical text, with a new approach to handling ill-formed sentences; and (2) a clinical Treebank annotated according to the guidelines. To document the process and findings for readers with similar interest.
Author(s): Fan, Jung-wei, Yang, Elly W, Jiang, Min, Prasad, Rashmi, Loomis, Richard M, Zisook, Daniel S, Denny, Josh C, Xu, Hua, Huang, Yang
DOI: 10.1136/amiajnl-2013-001810
To investigate machine learning for linking image content, human perception, cognition, and error in the diagnostic interpretation of mammograms.
Author(s): Tourassi, Georgia, Voisin, Sophie, Paquit, Vincent, Krupinski, Elizabeth
DOI: 10.1136/amiajnl-2012-001503