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
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Web-Based Counseling for Problem Gambling: Exploring Motivations and Recommendations by Simone Rodda, Dan I Lubman, Nicki A Dowling, Anna Bough, Alun C Jackson (Published on 24 May 2013) Background: For highly stigmatized disorders, such as problem gambling, Web-based counseling has the potential to address common barriers to treatment, including issues of shame and stigma. Despite the exponential growth in the uptake of immediate synchronous Web-based counseling (ie, provided without appointment), little is known about why people choose this service over other modes of treatment. Objective: The aim of the current study was to determine motivations for choosing and recommending Web-based counseling over telephone or face-to-face services. Methods: The study involved 233 Australian participants who had completed an online counseling session for problem gambling on the Gambling Help Online website between November 2010 and February 2012. Participants were all classified... |
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Web-Based Newborn Screening System for Metabolic Diseases: Machine Learning Versus Clinicians by Wei-Hsin Chen, Sheau-Ling Hsieh, Kai-Ping Hsu, Han-Ping Chen, Xing-Yu Su, Yi-Ju Tseng, Yin-Hsiu Chien, Wuh-Liang Hwu, Feipei Lai (Published on 23 May 2013) Background: A hospital information system (HIS) that integrates screening data and interpretation of the data is routinely requested by hospitals and parents. However, the accuracy of disease classification may be low because of the disease characteristics and the analytes used for classification. Objective: The objective of this study is to describe a system that enhanced the neonatal screening system of the Newborn Screening Center at the National Taiwan University Hospital. The system was designed and deployed according to a service-oriented architecture (SOA) framework under the Web services .NET environment. The system consists of sample collection, testing, diagnosis, evaluation, treatment, and follow-up services among collaborating hospitals. To improve the accuracy of newborn... |
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