Behavioral feasibility of the clinical nursing information system

Background: Analysis of humanitarian issues affecting the implementation time of information systems to increase the acceptance of these systems is essential. Objective: The aim of this study was to assess the behavioral feasibility of the clinical nursing information system. Methods: An applied cross-sectional study was conducted with 348 nurses in 2015. Data were collected by face to face interviews and a questionnaire containing 33 questions, which were rated on a 5-point Likert scale. Face and content validity of the questionnaire was confirmed, and its reliability was estimated 0.90 through Cronbach's alpha coefficient. Data were analyzed using chi-square tests and t-test. Results: An average score of behavioral feasibility was 67.44. The rate of supply provided for implementing the clinical nursing information system was 55.2, which was in a semi-favorable level. The necessity of system deployment in the clinical nursing sector had the highest frequency (88.2) and interference of redesigning structures with the current work had the lowest frequency (43.6). Conclusion: The possibility of implementation of the clinical nursing information system in a behavioral dimension is at a semi-favorable level. To increase the acceptance of the system, presenting a new system as a positive change and further training of the nurses is recommended. © 2019 Jeddi et al

Corrigendum to �Usability evaluation of a comprehensive national health information system: A heuristic evaluation� Inf Med Unlocked 19 (2020) 100332(S2352914820301064)(10.1016/j.imu.2020.100332)

The authors regret for the inconvenience. After reviewing the article, we determined that the grant number is not mentioned in the fund section. Please add the grant number 96049 to this section. Funding This study was funded by The Research Deputy of Kashan University of Medical Sciences under Grant (Number: 96049). The authors would like to apologise for any inconvenience caused. © 2020 The Author(s

Usability evaluation of a comprehensive national health information system: A heuristic evaluation

Aim: to evaluate the usability of a comprehensive national health information system by the heuristic method. Introduction: Presently, information systems are widely being used in healthcare settings. Methods: Five independent evaluators assessed the user interface design of this system in terms of its compliance with a set of predetermined standard principles, also known as Jakob Nielsen's 10 general principles. Problems were reassessed in the presence of all evaluators, and similar cases were merged and a single list of unique problems was prepared. After a second assessment, the evaluators determined and categorized problem severity in five domains, including: the absence of a problem (zero point), a cosmetic problem (1 point), a minor problem (2 points), a major problem (3 points) and a catastrophic problem (4 points). Data were then analyzed in a spreadsheet using descriptive statistical tests. Results: The “recognition rather than recall” principle with 13 problems (21.3 of all cases) had the greatest frequency among all problems, while the “match between system and the real world” and “help and documentation” principles with 1 problem (1.6 of all cases) had the least frequency. Moreover, principles such as “help users recognize, diagnose and recover from errors”, “error prevention”, and “help and documentation” had a mean severity of 2.8, 2.8, and 3.4, respectively. Consequently, they were considered as catastrophic and major problems. Conclusions: Based on the viewpoint of evaluation experts, a large portion of problems in this system were classified into major and catastrophic categories, which primarily indicates the poor usability of this system. Therefore, it is highly recommended that authorities be notified of the issues in writing in order to resolve them in a future update. Finally, special consideration should be given to the meticulous evaluation of these systems during preliminary stages of design and development, so as to encounter fewer issues on a national level at the time of implementation. © 2020 The Author

Trust reality-mining: evidencing the role of friendship for trust diffusion

Value sensitive design is driven by the motivation of making social and moral values central to the development of ICT systems. Among the most challenging concerns when imparting shared values like accountability, transparency, liberty, fairness and trust into information technology are reliable and comprehensive formal and computational models of those values. This paper, educated by trust theories and models from cognitive science, social sciences and artificial intelligence, proposes a novel stochastic computational model of trust, encapsulating abstractions of human cognitive capabilities and empirically evidenced social interaction patterns. Qualitative and quantitative features of trust are identified, upon which our formal model is phrased. Reality mining methods are used to validate the model based on a real life community dataset. We analyze the time-varying dynamics of the interaction and communication patterns of the community, consider varying types of relationships as well as their symmetry. Social network data analysis shows that our model better fits the evolved friendships compared to a well designed synthetic trust model, which is used as the baseline.</p

Dynamic Versus Static Oxidation of Nb/Al-AlOx_x/Nb Trilayer

High quality Nb-based superconductor-insulator-superconductor (SIS) junctions with Al oxide (AlO$_x$) tunnel barriers grown from Al overlayers are widely reported in the literature. However, the thin barriers required for high critical current density (J$_c$) junctions exhibit defects that result in significant subgap leakage current that is detrimental for many applications. High quality, high-J$_c$ junctions can be realized with AlN$_x$ barriers, but control of J$_c$ is more difficult than with AlO$_x$. It is therefore of interest to study the growth of thin AlO$_x$ barriers with the ultimate goal of achieving high quality, high-J$_c$ AlO$_x$ junctions. In this work, 100\%\ O$_2$ and 2\%\ O$_2$ in Ar gas mixtures are used both statically and dynamically to grow AlO$_x$ tunnel barriers over a large range of oxygen exposures. In situ ellipsometry is used for the first time to extensively measure AlO$_x$ tunnel barrier growth in real time, revealing a number of unexpected patterns. Finally, a set of test junction wafers was fabricated that exhibited the well-known dependence of J$_c$ on oxygen exposure (E) in order to further validate the experimental setup

Thermal control of SUNRISE, a balloon-borne solar telescope

SUNRISE is a balloon-borne solar telescope flown with a long-duration balloon by NASA's Columbia Scientific Balloon Facility team from Esrange (Swedish Space Corporation), on 8 June 2009. SUNRISE has been a challenging mission from the thermal point of view because of its size and power dissipation. Thus, a dedicated thermal analysis has been carried out to find a solution that allows all the devices to be kept within their appropriate temperature ranges, without exceeding the allowable temperature gradients, critical for optical devices. In this article, the thermal design of SUNRISE is described. A geometrical mathematical model and a thermal mathematical model of the whole system have been set up for the different load cases in order to obtain the temperature distribution and gradients in the system. Some trade-offs have been necessary to fulfil all the thermal requirements. The thermal hardware used to achieve it is described. Finally, the temperatures obtained with the models have been compared with flight data

Pervasive sensing to model political opinions in face-to-face networks

Exposure and adoption of opinions in social networks are important questions in education, business, and government. We de- scribe a novel application of pervasive computing based on using mobile phone sensors to measure and model the face-to-face interactions and subsequent opinion changes amongst undergraduates, during the 2008 US presidential election campaign. We nd that self-reported political discussants have characteristic interaction patterns and can be predicted from sensor data. Mobile features can be used to estimate unique individ- ual exposure to di erent opinions, and help discover surprising patterns of dynamic homophily related to external political events, such as elec- tion debates and election day. To our knowledge, this is the rst time such dynamic homophily e ects have been measured. Automatically esti- mated exposure explains individual opinions on election day. Finally, we report statistically signi cant di erences in the daily activities of individ- uals that change political opinions versus those that do not, by modeling and discovering dominant activities using topic models. We nd people who decrease their interest in politics are routinely exposed (face-to-face) to friends with little or no interest in politics.U.S. Army Research Laboratory (Cooperative Agreement No. W911NF-09-2-0053)United States. Air Force Office of Scientific Research (Award No. FA9550-10-1-0122)Swiss National Science Foundatio

Diabetic retinopathy clinical practice guidelines: Customized for Iranian population

Purpose: To customize clinical practice guidelines (CPGs) for management of diabetic retinopathy (DR) in the Iranian population. Methods: Three DR CPGs (The Royal College of Ophthalmologists 2013, American Academy of Ophthalmology Preferred Practice Pattern 2012, and Australian Diabetes Society 2008) were selected from the literature using the AGREE tool. Clinical questions were designed and summarized into four tables by the customization team. The components of the clinical questions along with pertinent recommendations extracted from the above-mentioned CPGs; details of the supporting articles and their levels of evidence; clinical recommendations considering clinical benefts, cost and side effects; and revised recommendations based on customization capability (applicability, acceptability, external validity) were recorded in 4 tables, respectively. Customized recommendations were sent to the faculty members of all universities across the country to score the recommendations from 1 to 9. Results: Agreed recommendations were accepted as the fnal recommendations while the non-agreed ones were approved after revision. Eventually, 29 customized recommendations under three major categories consisting of screening, diagnosis and treatment of DR were developed along with their sources and levels of evidence. Conclusion: This customized CPGs for management of DR can be used to standardize the referral pathway, diagnosis and treatment of patients with diabetic retinopathy. © 2016 Journal of Ophthalmic and Vision Research