Difference between revisions of "Template:Article of the week"

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(Updated article of the week text.)
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1_Joyce_2015.png|220px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Kruse JMIRMedInfo2014 2-1.jpg|220px]]</div>
'''"[[Journal:Generalized procedure for screening free software and open-source software applications|Generalized procedure for screening free software and open-source software applications]]"'''
'''"[[Journal:Factors associated with adoption of health information technology: A conceptual model based on a systematic review|Factors associated with adoption of health information technology: A conceptual model based on a systematic review]]"'''


Free software and [[:Category:Open-source software|open-source software projects]] have become a popular alternative tool in both scientific research and other fields. However, selecting the optimal application for use in a project can be a major task in itself, as the list of potential applications must first be identified and screened to determine promising candidates before an in-depth analysis of systems can be performed. To simplify this process, we have initiated a project to generate a library of in-depth reviews of free software and open-source software applications. Preliminary to beginning this project, a review of evaluation methods available in the literature was performed. As we found no one method that stood out, we synthesized a general procedure using a variety of available sources for screening a designated class of applications to determine which ones to evaluate in more depth. In this paper, we examine a number of currently published processes to identify their strengths and weaknesses. By selecting from these processes we synthesize a proposed screening procedure to triage available systems and identify those most promising of pursuit. ('''[[Journal:Generalized procedure for screening free software and open-source software applications|Full article...]]''')<br />
The purpose of this systematic review is to identify a full-spectrum of both internal organizational and external environmental factors associated with the adoption of [[health information technology]] (HIT), specifically the EHR. The result is a conceptual model that is commensurate with the complexity of with the health care sector. We performed a systematic literature search in PubMed (restricted to English), EBSCO Host, and Google Scholar for both empirical studies and theory-based writing from 1993-2013 that demonstrated association between influential factors and three modes of HIT: EHR, [[electronic medical record]] (EMR), and computerized provider order entry (CPOE). We also looked at published books on organizational theories. We made notes and noted trends on adoption factors. These factors were grouped as adoption factors associated with various versions of EHR adoption. The resulting conceptual model summarizes the diversity of independent variables (IVs) and dependent variables (DVs) used in articles, editorials, books, as well as quantitative and qualitative studies (n=83). ('''[[Journal:Factors associated with adoption of health information technology: A conceptual model based on a systematic review|Full article...]]''')<br />


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''Recently featured'': [[Journal:Human–information interaction with complex information for decision-making|Human–information interaction with complex information for decision-making]], [[Journal:Making big data useful for health care: A summary of the inaugural MIT Critical Data Conference|Making big data useful for health care: A summary of the inaugural MIT Critical Data Conference]], [[Journal:Beyond information retrieval and electronic health record use: Competencies in clinical informatics for medical education|Beyond information retrieval and electronic health record use: Competencies in clinical informatics for medical education]]
''Recently featured'': [[Journal:Generalized procedure for screening free software and open-source software applications|Generalized procedure for screening free software and open-source software applications]], [[Journal:Human–information interaction with complex information for decision-making|Human–information interaction with complex information for decision-making]], [[Journal:Making big data useful for health care: A summary of the inaugural MIT Critical Data Conference|Making big data useful for health care: A summary of the inaugural MIT Critical Data Conference]]

Revision as of 17:20, 16 November 2015

Fig1 Kruse JMIRMedInfo2014 2-1.jpg

"Factors associated with adoption of health information technology: A conceptual model based on a systematic review"

The purpose of this systematic review is to identify a full-spectrum of both internal organizational and external environmental factors associated with the adoption of health information technology (HIT), specifically the EHR. The result is a conceptual model that is commensurate with the complexity of with the health care sector. We performed a systematic literature search in PubMed (restricted to English), EBSCO Host, and Google Scholar for both empirical studies and theory-based writing from 1993-2013 that demonstrated association between influential factors and three modes of HIT: EHR, electronic medical record (EMR), and computerized provider order entry (CPOE). We also looked at published books on organizational theories. We made notes and noted trends on adoption factors. These factors were grouped as adoption factors associated with various versions of EHR adoption. The resulting conceptual model summarizes the diversity of independent variables (IVs) and dependent variables (DVs) used in articles, editorials, books, as well as quantitative and qualitative studies (n=83). (Full article...)


Recently featured: Generalized procedure for screening free software and open-source software applications, Human–information interaction with complex information for decision-making, Making big data useful for health care: A summary of the inaugural MIT Critical Data Conference