JMIR Medical Informatics
Clinical informatics, decision support for health professionals, electronic health records, and ehealth infrastructures.
JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals.
Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.
JMIR Medical Informatics journal features a rapid and thorough peer-review process, professional copyediting, professional production of PDF, XHTML, and XML proofs (ready for deposit in PubMed Central/PubMed). The site is optimized for mobile and iPad use.
JMIR Medical Informatics adheres to the same quality standards as JMIR and all articles published here are also cross-listed in the Table of Contents of JMIR, the worlds' leading medical journal in health sciences / health services research and health informatics (http://www.jmir.org/issue/current).
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Jul 31, 2017
Jul 31, 2017
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Latest Submissions Open for Peer-Review:View All Open Peer Review Articles
Understanding barriers to physicians adopting clinical decision support systems: A Systematic Review
Date Submitted: Sep 6, 2017
Open Peer Review Period: Sep 8, 2017 - Nov 3, 2017
Background: The purpose of this paper was to conduct an analytical review and task analysis of CDSS re-search, and to develop a new framework for CDSS design in order to achieve user acceptance. Objec...
Background: The purpose of this paper was to conduct an analytical review and task analysis of CDSS re-search, and to develop a new framework for CDSS design in order to achieve user acceptance. Objective: This paper tackles a critical issue modern healthcare systems namely, the adoption of Health Informatics Technologies (HIT). The paper provides a comprehensive literature review of the current status quo of Clinical Decision Support Systems adoption, the barriers to adoption from users stand point, and proposes novel solutions to current gaps in order to the enhancement of healthcare delivery and execution. Methods: A literature review of CDSS papers was conducted with a focus on user acceptance. In order to gain a greater understanding of the problems associated with CDSS, we conducted a task analysis to identify and describe the goals, user input, system output, knowledge requirements, and constraints from two different perspectives. Results: Based on the literature review, findings are characterized by whether user acceptance was favorable and unfavorable for clinical guidelines, reminders, and diagnostic CDSS. We propose two models: 1) the User Acceptance and System Adaptation Design (UASAD) model which includes optimizing CDSS design based on user needs/expectations and 2) the Input-Process-Output-Engage (IPOE) model which reveals to users the processes the govern CDSS outputs. Conclusions: CDSS have the capacity to decrease medical errors and improve patient outcomes. However, current CDSS designs do not consistently show such improvements. We hypothesized that the incorporation of the proposed models will improve user acceptance to support beneficial impacts of CDSS adoption. Ultimately, if a user does not accept technology this not only poses a threat to the use of the technology but can also pose a threat to the health and wellbeing of patients.
Healthcare Information Systems and Technology: A Systematic Review
Date Submitted: Jul 31, 2017
Open Peer Review Period: Jul 31, 2017 - Sep 25, 2017
The present article offers a systematic mapping of studies related to information systems and technology in the field of health care. Articles were selected and compiled from prestigious publications...
The present article offers a systematic mapping of studies related to information systems and technology in the field of health care. Articles were selected and compiled from prestigious publications that combine knowledge related to information systems, science and health. This facilitates establishing a distribution of the available literature, obtaining as a result a map of knowledge that structures the different trends and main areas of research in this area. Finally, we project and propose future research for those trends that stand out because of their interest and the possibility of deepening them.