Sharing data for the public good and protecting individual privacy: informatics solutions to combine different goals.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2012-001513
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2012-001513
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
DNA samples are often processed and sequenced in facilities external to the point of collection. These samples are routinely labeled with patient identifiers or pseudonyms, allowing for potential linkage to identity and private clinical information if intercepted during transmission. We present a cryptographic scheme to securely transmit externally generated sequence data which does not require any patient identifiers, public key infrastructure, or the transmission of passwords.
Author(s): Cassa, Christopher A, Miller, Rachel A, Mandl, Kenneth D
DOI: 10.1136/amiajnl-2012-001366
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 evaluate how clinical chemistry test results were assessed by volunteers when presented with four different visualization techniques.
Author(s): Torsvik, Torbjørn, Lillebo, Børge, Mikkelsen, Gustav
DOI: 10.1136/amiajnl-2012-001147
We describe an approach for modeling temporal relationships in a large scale association analysis of electronic health record data. The addition of temporal information can inform hypothesis generation and help to explain the relationships. We applied this approach on a dataset containing 41.2 million time-stamped International Classification of Diseases, Ninth Revision (ICD-9) codes from 1.6 million patients.
Author(s): Hanauer, David A, Ramakrishnan, Naren
DOI: 10.1136/amiajnl-2012-001117
Many methods have been developed to identify disease genes and further module biomarkers of complex diseases based on gene expression data. It is generally difficult to distinguish whether the variations in gene expression are causative or merely the effect of a disease. The limitation of relying on gene expression data alone highlights the need to develop new approaches that can explore various data to reflect the casual relationship between network [...]
Author(s): Wen, Zhenshu, Liu, Zhi-Ping, Liu, Zhengrong, Zhang, Yan, Chen, Luonan
DOI: 10.1136/amiajnl-2012-001168
Securing protected health information is a critical responsibility of every healthcare organization. We explore information security practices and identify practice patterns that are associated with improved regulatory compliance.
Author(s): Kwon, Juhee, Johnson, M Eric
DOI: 10.1136/amiajnl-2012-000906
We explored two strategies for query expansion utilizing medical subject headings (MeSH) ontology to improve the effectiveness of medical image retrieval systems. In order to achieve greater effectiveness in the expansion, the search text was analyzed to identify which terms were most amenable to being expanded.
Author(s): Crespo Azcárate, Mariano, Mata Vázquez, Jacinto, Maña López, Manuel
DOI: 10.1136/amiajnl-2012-000943
To review the literature on clinical decision support (CDS) for genetically guided personalized medicine (GPM).
Author(s): Welch, Brandon M, Kawamoto, Kensaku
DOI: 10.1136/amiajnl-2012-000892