جستجوی مقالات مرتبط با کلیدواژه "فناوری سلامت" در نشریات گروه "پزشکی"

Technology in medical education is a little-known issue that needs to be used more quickly. In this regard, researchers need to explain the challenges of this issue more and with better quality. The current research has been carried out with the main purpose of identifying the current and desirable situation of the use of information technology in medical education and the challenges facing it from the point of view of the professors and personnel of Birjand University of Medical Sciences.

This study was conducted using a qualitative method, with semi-structured interviews, in order to categorize the challenges and obstacles of the use of new technologies in health in 1402. 17 of them were selected by purposeful sampling. Interviews were written, coded, and classified.

the challenges of using health technology in the university in two categories "insufficient support and "technology challenge" and sub-categories "decreasing motivation to use new educational methods based on technology, avoiding technology, not providing new educational platforms, high costs, and insufficient support They were placed.

Providing infrastructures, getting to know more personnel and providing appropriate educational assistance for practical ideas and teaching user-friendly technology programs can greatly help to solve the challenges of modern technologies in the field of medical sciences and health in medical sciences universities.

Infectious diseases can be caused by the direct or indirect transmission of microorganisms such as viruses, bacteria, parasites or fungi. The spread of these diseases and infections may cause a global pandemic such as COVID-19. Establishing and using artificial intelligence can help scientists predict infectious diseases to prevent the spread of epidemics, understand the behavior of microorganisms, and discover drugs to control disease faster. Today, artificial intelligence is on the verge of evolving the health care system through disease-focused analysis and interventions to promote faster, more reliable, and more cost-effective solutions to human well-being. Artificial intelligence systems use cognitive computing, deep learning, variable neural networks, and machine learning and can play an important role in diagnosing, screening, monitoring, reducing the workload of caregivers, and predicting new treatments. This article reviews the potential applications of artificial intelligence in the field of infectious diseases that can help the health institutions of the global community in combating the increase of infectious diseases.

In a threatening situation such as Covid-19 Pandemic, E-health is more effective in providing public health, including prevention, monitoring, diagnosis, prioritization, treatment and follow-up patients. Regardless of E-health potential benefits, implementation and adaptation barriers is expected. In this regarding, it is essential to study the factors influencing EHCR adoption. Therefore, this study aimed to investigate the factors affecting the adoption of E-Health.

In this research, the mixt method approach and exploratory design - typology creation model have been used. After conducting semi-structured interviews and a focus discussion group among physicians, specialists, health experts and CEOs, a research model was developed and tested one a sample of 417 physicians in an online survey. Structural Equation Modeling (SEM) has also been used to analyze the data and test the research hypotheses.

Trust and confidentiality, waiting time, authority, health provider-patient relationship are influencing factors that affect adoption of E-health factor. Five other factors were also found that were similar to the UTAUT2 model: performance expectancy, effort expectancy or ease of use, facilities, price value, habit. All hypotheses were significant because the absolute value of the significant number obtained from the t statistic in all hypotheses was higher than 1.96, with a 0.84 effect rate.

The findings from this study help to understand the factors influencing behavioral tendency in using E-Health. Theoretical findings, development, and validation in this dissertation provide a framework that includes the factors influencing the adoption of health technology, theoretical foundations for designing and selecting health technology in future health care before they enter the market, or solving the problems of their acceptance implementation.

In this article, we aimed at introducing health technology assessment (HTA) as a sound scientific method for the purpose of improving health outcomes for patients and efficiencies in the health care system overall. This is a review article that aimed to investigate the literate related to health technology assessment. Relevant materials systematically selected from published works and sites and analyzed. Many countries apply “health technology assessment” as a tool for logical use of technologies, control of expenses, and preventing importing of less immune and effective technologies. Also, in this article, the purpose and application, role, factors that must be assessed, basic questions, principles, and ten basic steps of HTA and the like have been referred to. HTA has a unique potential to contribute to policy-making, strategic planning, management and the implementation of technologies in health care. It can be used as a strategic tool to overcome the disconnection between policy and research.