Jochumsennixon4216

Blockchain technology revolutionary solutions are bringing us closer to the possibility of every patient record being able to send updates to an open-source, community-wide trusted ledger that is accessible and understood across organizations with guaranteed integrity. Aim and Methods This paper discusses as a review some potential areas of opportunity for blockchain in the health and biomedical sciences fields. Results and Conclusions This paper describes and synthesizes 20 examples of real-world use-case scenarios for blockchains in healthcare and biomedical practice. © 2019 Taghreed Justinia.Introduction In the field of ophthalmology, laser technology is used in many basic and clinical disciplines and specialities. It has played an important role in promoting the development of ophthalmology. Aim This article is designed to review the evolution of laser technology in refractive surgeries in ophthalmology, mainly focusing on the characteristics of the excimer laser applied in corneal refractive surgery. Methods This article was performed based on a literature review and Internet search through scientific databases such as PubMed, Scopus, Web of Science and Google Scholar. Result The literature on excimer laser technology addresses the technical and physical aspects of excimer lasers including types, characteristics and commercially available lasers on the market. Conclusion The conclusion on this forum aims to help understand the benefits of excimer laser use in ophthalmology, with focus on correction of refractive errors. Phospho(enol)pyruvic acid monopotassium datasheet © 2019 Ajla Pidro, Alma Biscevic, Melisa Ahmedbegovic Pjano, Ivana Mravicic, Nita Bejdic, Maja Bohac.Introduction The wide range of notifiable diseases and the need for immediate reporting complicate the management of these diseases. Developing a surveillance system using precise architectural principles could ease the management of these diseases. Aim The present study reviews the data architecture of notifiable diseases surveillance systems to provide a basis for developing such systems. Methods A systematic review was conducted on the literature focused on data architecture of notifiable diseases surveillance systems. The searches for relevant English language articles were conducted based on the paper keywords, as well as the words Mesh and EMTREE. Results The findings were categorized into five groups, including organizations involved in the generation and monitoring of notifiable diseases' data. The databases in the present study were relational and used a centralized architecture for information sharing. The minimum dataset was determined in two information categories. The data standards were categorized into three main groups. The key approaches for data quality control included checking the completeness, timeliness, accuracy, consistency, adequacy, and validity of the data. Conclusion Developing a notifiable diseases surveillance based on data architecture principles could lay the foundation for better management of such diseases through eliminating the obstacles experienced during data generation, data processing, and data sharing. © 2019 Hamideh Haghiri, Reza Rabiei, Azamossadat Hosseini, Hamid Moghaddasi and Farkhondeh Asadi.Introduction High blood pressure or hypertension is one of the chronic diseases causing other serious diseases and syndromes. Active involvement of the patient in the management of the disease is crucial in improving self-care and clinical outcomes. Mobile technology is nowadays used widely to improve the self-care process in people with chronic diseases such as hypertension. Aim The objective of this study was to provide an overview of the existing research evaluating the impact of mobile applications on the self-care of patients with hypertension. Methods The Scopus and PubMed databases were investigated using a comprehensive search strategy from the beginning of 2010 to 2019. All controlled clinical trial studies as well as quasi-experimental studies used mobile as a device for improving the self-care and conducted on patients with hypertension were included in the study. The studies were reviewed by two independent individuals. Results Out of 1032 studies found, 6 studies were finally reviewed after applying the inclusion criteria. Out of 6 studies reviewed, three studies confirmed the effect of using mobile applications on lowering blood pressure. Other studies reported a decline in blood pressure, while statistically significant were not shown. Conclusion The results showed that mobile apps have positive potential on improving the self-care behavior of patients with hypertension, but the evidences presenting their impact are varied. Different reports for efficiency of mobile phone apps for the self-care modification was due to diverse condition of studies for mobile intervention on the patients with hypertension. © 2019 Amir Jamshidnezhad, Leila Kabootarizadeh, Seyed Mohsen Hoseini.Introduction Self-citation is a debate in citation analysis and evaluating research performance. Aim This study aimed to investigate the self-citation rate of Iranian scholars in comparison with scholars of other countries in the World. Methods The scientific output of 238 countries in the time span of 1996-2017(two recent decades) was studied from perspective of some bibliometric indicators, using "country ranking" section in SJR database for data collection. Results Regarding self-citation rate, Iran ranked third in the world, second in Asia and first in the Middle East. However, Iran ranked 22nd in the World, second in Asia and Middle East in scientific production. Iran has self-citation rate of 36.57%, which is higher than World standard level. Conclusion It is needed that Iranian researchers consider their research quality as well as making the appropriate context for more visibility of their works by receiving more citations from other researchers and taking other scientific visibility modes into account. Science policy-makers in Iran should consider some approaches to decreasing the self-citation rate in Iranian publications. © 2019 Mousa Yaminfirooz, Aram Tirgar.Introduction Internet of Things (IoT), which provides smart services and remote monitoring across healthcare systems according to a set of interconnected networks and devices, is a revolutionary technology in this domain. Due to its nature to sensitive and confidential information of patients, ensuring security is a critical issue in the development of IoT-based healthcare system. Aim Our purpose was to identify the features and concepts associated with security requirements of IoT in healthcare system. Methods A survey study on security requirements of IoT in healthcare system was conducted. Four digital databases (Web of Science, Scopus, PubMed and IEEE) were searched from 2005 to September 2019. Moreover, we followed international standards and accredited guidelines containing security requirements in cyber space. Results We identified two main groups of security requirements including cyber security and cyber resiliency. Cyber security requirements are divided into two parts CIA Triad (three features) and non-CIA (seven features). Six major features for cyber resiliency requirements including reliability, safety, maintainability, survivability, performability and information security (cover CIA triad such as availability, confidentiality and integrity) were identified. Conclusion Both conventional (cyber security) and novel (cyber resiliency) requirements should be taken into consideration in order to achieve the trustworthiness level in IoT-based healthcare system. © 2019 Somayeh Nasiri, Farahnaz Sadoughi, Mohammad Hesam Tadayon, Afsaneh Dehnad.Introduction Information technology (IT) is an important component of medical informatics. Information needs to be accepted by users to function effectively. At different ages and from different views, several models have been proposed and used to show factors affecting users' IT acceptance. However, such models are in need of frequent revision and development due to variable conditions. Aim The present research aims to design a new health IT acceptance model from Iranian users' views. The research aims both to design a model for status quo by reviewing previous models and consider features of Iranian users. Methods This is a correlative, cross-sectional study. Firstly, the primary model was presented by studying important IT acceptance models. Then, a structured questionnaire was designed and, after confirmation of validity and reliability of the questionnaire, it was given to users of information and health IT systems in different wards of hospitals in Iran. Data were analyzed by SPSS and Lisrel and the final model was designed by structural equations. Results The model showed that there are six key factors which are effective on attitude and use intention including performance expectancy, observability, effort expectancy, facilitating conditions, empowerment and subjective norms via three interface factors of perceived usefulness, perceived ease of use, self-efficacy. The size of technology use is an important factor in technology acceptance and application as well. Conclusion The present model has more details compared to the other models and can show a new image of important factors in technology acceptance and their relationships. © 2019 Mehrdad Farzandipour, Somayyeh Nadi Ravandi, Hamidreza Gilasi, Nabiallah Soleimani.Introduction The Ministry of Health of the Republic of Cyprus has implemented an Integrated Health Information System (IHIS) in two hospitals. However, no evaluation of IHIS has been conducted to assess its safety, efficiency and effectiveness. The proper utilization of IHIS is essential for the provision of quality healthcare services. Aim The purpose of this study was to evaluate the current IHIS in public hospitals in Cyprus utilizing the DIPSA evaluation framework. Methods A total of 309 subjects, including doctors, nurses and other healthcare professionals, participated in the study. The DIPSA evaluation framework assessed the users' perception in five categories namely, satisfaction, collaboration, system quality, safety and procedures, using Likert scale and 3 open questions. Correlation between the categories was assessed using the Pearson correlation coefficient, and multiple regression analysis was used to examine the relationship between the demographic characteristics and categories. Data analysis was done using SPSS v24. Results All five categories were rated moderately, between 2.5 and 3, by the participants. All categories were correlated (P less then 0.01). Multiple regression analysis indicated the need for improvement between the professionals (mainly doctors and nurses) and the categories. The open questions pointed out the need for improvement in all 3 factors examined (Technology, Human Factor, Organization). Discussion The moderately rated categories, in the Cyprus IHIS, suggest that there is a lot of room for improvement. Some interventions are suggested that could positively and simultaneously affect one or more categories. © 2019 Antonis Stylianides, John Mantas, Stavros Pouloukas, Zoe Roupa, Edna N. Yamasaki.Introduction Electroencephalography can also be used to monitor long-term recovery of the patient after acute phase of the disease. Impaired neurocognitive function after infection, similar to brain injury, may present a transient but also prolonged problem for the functioning of an individual. Some studies have shown that importance of EEG may not be significant in sequel monitoring, because the extensive changes in EEG seen with severe forms of CNS infection do not necessarily imply a longer-term poor outcome. Aim To examine the predictive potential of electroencephalography (EEG) in regard to the emergence of neurological and cognitive sequelae of acute central nervous system (CNS) infection. Methods The study included 62 patients treated at the Clinic for Infectious Diseases, Clinical Center of Sarajevo University, who were diagnosed with acute CNS infection. The EEG record was characterized as normal, non-specific changes of mild, moderate and severe degree and specific changes. The sequelae (headache, cognitive dysfunction, neurological and neurophysiological disorders, audiological and behavioral disorders) was evaluated by combining neurological, psychiatric, pediatric, otolaryngological, ophthalmic and infectological examination in the Neuroinfective Counseling Department for up to 6 months after discharge.