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Saparova D.,United Information Technologies
Perspectives in health information management / AHIMA, American Health Information Management Association | Year: 2012

The manuscript is an evaluative review of the literature pertaining to personal health records (PHRs). The primary focus was on revealing their potential to function as persuasive tools and their efficiency in this role. We demonstrated the ways in which PHRs could motivate, influence, and persuade patients in their adoption of target health behaviors associated with disease and medication management. We based this review on the theoretical framework of captology by B. J. Fogg and colleagues (1998) and the York methodological framework by Arksey and O'Malley (2005). The final sample of studies for review included 22 articles that met eligibility criteria and were retrieved from the SciVerse Scopus database (1999-present). Findings of this review were mixed. Some studies provided evidence that patients found PHRs easy to use and useful. The patients' self-efficacy and motivation in managing health conditions increased as a result of receiving personalized recommendations, guidance, and decision support generated in PHRs. Other studies, however, demonstrated the PHRs' lack of efficiency associated with the target behavior change. We explain the mixed findings by access to an unbalanced pool of study designs as well as the breadth of the applied theoretical framework of captology. We suggest future research in a more targeted direction, for example, focusing on the evidence of the efficiency of reminders as means for motivation, influence, and persuasion. Source


Ceccagnoli M.,Georgia Institute of Technology | Forman C.,Georgia Institute of Technology | Huang P.,United Information Technologies | Wu D.J.,Georgia Institute of Technology
Communications of the ACM | Year: 2014

Assessing the benefits and challenges of knowledge spillovers. Source


Shah S.C.,Rush University Medical Center | Rumoro D.P.,Rush University Medical Center | Hallock M.M.,Rush University Medical Center | Trenholme G.M.,Rush University Medical Center | And 3 more authors.
Infection Control and Hospital Epidemiology | Year: 2015

objective. To identify clinical signs and symptoms (ie, “terms”) that accurately predict laboratory-confirmed influenza cases and thereafter generate and evaluate various influenza-like illness (ILI) case definitions for detecting influenza. A secondary objective explored whether surveillance of data beyond the chief complaint improves the accuracy of predicting influenza. design. Retrospective, cross-sectional study. setting. Large urban academic medical center hospital. participants. A total of 1,581 emergency department (ED) patients who received a nasopharyngeal swab followed by rRT-PCR testing between August 30, 2009, and January 2, 2010, and between November 28, 2010, and March 26, 2011. methods. An electronic surveillance system (GUARDIAN) scanned the entire electronic medical record (EMR) and identified cases containing 29 clinical terms relevant to influenza. Analyses were conducted using logistic regressions, diagnostic odds ratio (DOR), sensitivity, and specificity. results. The best predictive model for identifying influenza for all ages consisted of cough (DOR =5.87), fever (DOR = 4.49), rhinorrhea (DOR = 1.98), and myalgias (DOR =1.44). The 3 best case definitions that included combinations of some or all of these 4 symptoms had comparable performance (ie, sensitivity =89%–92% and specificity= 38%–44%). For children <5 years of age, the addition of rhinorrhea to the fever and cough case definition achieved a better balance between sensitivity (85%) and specificity (47%). For the fever and cough ILI case definition, using the entire EMR, GUARDIAN identified 37.1% more influenza cases than it did using only the chief complaint data. conclusions. A simplified case definition of fever and cough may be suitable for implementation for all ages, while inclusion of rhinorrhea may further improve influenza detection for the 0–4-year-old age group. Finally, ILI surveillance based on the entire EMR is recommended. © 2015, by The Society for Healthcare Epidemiology of America. All rights reserved. Source


Warren S.J.,University of North Texas | Dondlinger M.J.,University of North Texas | Dondlinger M.J.,Richland College | McLeod J.,United Information Technologies | Bigenho C.,University of North Texas
Computers and Education | Year: 2012

As higher education institutions seek to improve undergraduate education, initiatives are underway to target instructional methods, re-examine curricula, and apply innovative technologies to better engage students with content. This article discusses the findings of an exploratory study focused on a course redesign that game elements, PBL methods, and 3-D communication tools in an introductory computing course. Some of these findings included an appreciation for how the technology skills gained in the course applied to the world of work, an understanding of the significant role that interpersonal communications play in learning and in career success, a sense of empowerment fostered by access to resources, and an increased willingness to play, explore, and experiment with tools, content, and design processes. © 2011 Elsevier Ltd. All rights reserved. Source


Whitfield J.D.,Vienna Center for Quantum Science and Technology | Whitfield J.D.,Columbia University | Whitfield J.D.,United Information Technologies | Love P.J.,Haverford College | Aspuru-Guzik A.,Harvard University
Physical Chemistry Chemical Physics | Year: 2013

In quantum chemistry, the price paid by all known efficient model chemistries is either the truncation of the Hilbert space or uncontrolled approximations. Theoretical computer science suggests that these restrictions are not mere shortcomings of the algorithm designers and programmers but could stem from the inherent difficulty of simulating quantum systems. Extensions of computer science and information processing exploiting quantum mechanics has led to new ways of understanding the ultimate limitations of computational power. Interestingly, this perspective helps us understand widely used model chemistries in a new light. In this article, the fundamentals of computational complexity will be reviewed and motivated from the vantage point of chemistry. Then recent results from the computational complexity literature regarding common model chemistries including Hartree-Fock and density functional theory are discussed. © the Owner Societies 2013. Source

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