Background: eHealth has an enormous potential to improve healthcare cost, effectiveness, and quality of care. However, there seems to be a gap between the foreseen benefits of research and clinical reality. Objective: Our objective was to systematically review the factors influencing the outcome of eHealth interventions in terms of success and failure. Methods: We searched the PubMed database for original peer-reviewed studies on implemented eHealth tools that reported on the factors for the success or failure, or both, of the intervention. We conducted the systematic review by following the patient, intervention, comparison, and outcome framework, with 2 of the authors independently reviewing the abstract and full text of the articles. We collected data using standardized forms that reflected the categorization model used in the qualitative analysis of the outcomes reported in the included articles. Results: Among the 903 identified articles, a total of 221 studies complied with the inclusion criteria. The studies were heterogeneous by country, type of eHealth intervention, method of implementation, and reporting perspectives. The article frequency analysis did not show a significant discrepancy between the number of reports on failure (392/844, 46.5%) and on success (452/844, 53.6%). The qualitative analysis identified 27 categories that represented the factors for success or failure of eHealth interventions. A quantitative analysis of the results revealed the category quality of healthcare (n=55) as the most mentioned as contributing to the success of eHealth interventions, and the category costs (n=42) as the most mentioned as contributing to failure. For the category with the highest unique article frequency, workflow (n=51), we conducted a full-text review. The analysis of the 23 articles that met the inclusion criteria identified 6 barriers related to workflow: workload (n=12), role definition (n=7), undermining of face-to-face communication (n=6), workflow disruption (n=6), alignment with clinical processes (n=2), and staff turnover (n=1). Conclusions: The reviewed literature suggested that, to increase the likelihood of success of eHealth interventions, future research must ensure a positive impact in the quality of care, with particular attention given to improved diagnosis, clinical management, and patient-centered care. There is a critical need to perform in-depth studies of the workflow(s) that the intervention will support and to perceive the clinical processes involved. [J Med Internet Res 2018;20(5):e10235]

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Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature.

Posting, commenting, and tagging

Applied nonparametric statistical methods (2nd edition ), by P. Sprent. Pp 342. £19-50. 1993. ISBN 0-412-44980-3 (Chapman and Hall)

/pdf/international-federation-of-library-associations-and-4gycxtrgqi.pdf

International federation of library associations and institutions

Research on recommender systems has traditionally focused on the development of algorithms to improve accuracy of recommendations. So far, little research has been done to enable user interaction with such systems as a basis to support exploration and control by end users. In this paper, we present our research on the use of information visualization techniques to interact with recommender systems. We investigated how information visualization can improve user understanding of the typically black-box rationale behind recommendations in order to increase their perceived relevance and meaning and to support exploration and user involvement in the recommendation process. Our study has been performed using TalkExplorer, an interactive visualization tool developed for attendees of academic conferences. The results of user studies performed at two conferences allowed us to obtain interesting insights to enhance user interfaces that integrate recommendation technology. More specifically, effectiveness and probability of item selection both increase when users are able to explore and interrelate multiple entities -- i.e. items bookmarked by users, recommendations and tags.

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Visualizing recommendations to support exploration, transparency and controllability

Emma Tonkin, Edward M. Corrado, Heather Lea Moulaison, Margaret E. I. Kipp, Andrea Resmini, Heather D. Pfeiffer and Qiping Zhang gather a series of international perspectives on the practice of social tagging of documents within a community context.

Collaborative and Social Tagging Networks

Based on the ACRL Information Literacy Competency Standards for Higher Education, social networking literacy training prepares librarians from multiple generations for work with new and emerging social applications. These applications impact both library services and users in today's college and research libraries. Librarians must understand these new technologies, before making educated decisions about choosing if or how to implement them in library services they offer. By describing and defining the general concepts for engaging these technologies, the authors suggest practical methods for training library practitioners and students in these participation-rich online competencies. 
The authors also describe their experiences creating new library services based on social networking literacy, and in training librarians in these competencies. The librarian in charge of implementing social networking services in the Yale Science Libraries since 2007 will share his experiences, and will describe the ways in which these competencies were shared with LIS students at Rutgers University in Spring 2008.

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Social Networking Literacy Competencies for Librarians: Exploring Considerations and Engaging Participation

Patron queries at a four-year comprehensive college’s online public access catalog were examined via transaction logs from March 2007. Three representative days were isolated for a more detailed examination of search characteristics. The results show that library users employed an average of one to three terms in a search, did not use Boolean operators, and made use of limits one-tenth of the time. Failed queries remained problematic, as a full one-third of searches resulted in zero hits. Implications and recommendations for improvements in the online public access catalog are discussed.

https://journals.ala.org/index.php/lrts/article/download/5359/6562

OPAC Queries at a Medium-Sized Academic Library : A Transaction Log Analysis

This article, written by researchers studying metadata and standards, represents a fresh perspective on the challenges of electronic health records (EHRs) and serves as a primer for big data researchers new to health-related issues. Primarily, we argue for the importance of the systematic adoption of standards in EHR data and metadata as a way of promoting big data research and benefiting patients. EHRs have the potential to include a vast amount of longitudinal health data, and metadata provides the formal structures to govern that data. In the United States, electronic medical records (EMRs) are part of the larger EHR. EHR data is submitted by a variety of clinical data providers and potentially by the patients themselves. Because data input practices are not necessarily standardized, and because of the multiplicity of current standards, basic interoperability in EHRs is hindered. Some of the issues with EHR interoperability stem from the complexities of the data they include, which can be both...

Heather Lea Moulaison

Papers

Collaborative and Social Tagging Networks

Social Networking Literacy Competencies for Librarians: Exploring Considerations and Engaging Participation

OPAC Queries at a Medium-Sized Academic Library : A Transaction Log Analysis

Electronic Health Records Data and Metadata: Challenges for Big Data in the United States.

Supporting Scholars: An Analysis of Academic Library Websites' Documentation on Metrics and Impact