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JMIR is the leading peer-reviewed eHealth/mHealth journal (Impact Factor: 4.7),
ranked #1 in Medical Informatics, and #2 in Health Sciences/Health Services Research


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Recent Articles

Video Consultation Use by Australian General Practitioners: Video Vignette Study
by Moyez Jiwa, Xingqiong Meng
(Published on 19 Jun 2013)
Background: There is unequal access to health care in Australia, particularly for the one-third of the population living in remote and rural areas. Video consultations delivered via the Internet present an opportunity to provide medical services to those who are underserviced, but this is not currently routine practice in Australia. There are advantages and shortcomings to using video consultations for diagnosis, and general practitioners (GPs) have varying opinions regarding their efficacy. Objective: The aim of this Internet-based study was to explore the attitudes of Australian GPs toward video consultation by using a range of patient scenarios presenting different clinical problems. Methods: Overall, 102 GPs were invited to view 6 video vignettes featuring patients presenting with...
 
 
Postmarket Drug Surveillance Without Trial Costs: Discovery of Adverse Drug Reactions Through Large-Scale Analysis of Web Search Queries
by Elad Yom-Tov, Evgeniy Gabrilovich
(Published on 18 Jun 2013)
Background: Postmarket drug safety surveillance largely depends on spontaneous reports by patients and health care providers; hence, less common adverse drug reactions—especially those caused by long-term exposure, multidrug treatments, or those specific to special populations—often elude discovery. Objective: Here we propose a low cost, fully automated method for continuous monitoring of adverse drug reactions in single drugs and in combinations thereof, and demonstrate the discovery of heretofore-unknown ones. Methods: We used aggregated search data of large populations of Internet users to extract information related to drugs and adverse reactions to them, and correlated these data over time. We further extended our method to identify adverse reactions to combinations of...
 
 

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