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

 The increase in the amount of information and the need for their daily monitoring have led to the development of tools called management dashboards that have the ability to analyze graphical data. In addition to preparing quick reports in different time frames and user-specific format, the dashboard can be useful for providing dynamic updated information for accurate decision-making and quick response to changes.

The current research was carried out in the form of qualitative studies and participatory action research method in 9 steps. In this applied and developmental research that was conducted cross-sectionally using the data of the first half of 2022, 11 members of the leadership team of a super-specialized children’s hospital were selected as research participants. The data collection tool was an interview using a questionnaire to determine the importance of indicators and a usability questionnaire (usability) of the dashboard based on three independent variables (usefulness, ease of use and satisfaction). The Excel file of data needed for the dashboard was collected from the HIS system of the hospital, and the dashboard was designed with Power BI software, and the capabilities and access levels of users were determined based on their duties. Data analysis was done using descriptive statistics and Excel software version 2016.

In the stage of determining key performance indicators, out of 39 indicators selected by the research team, 22 indicators scored an average score of 4 or higher (from 5 points) and 21 indicators were able to be implemented. The data repository in Excel format was used as an intermediate environment. The dashboard was displayed on six pages (indicators related to the performance of inpatient beds, mortality, emergency and other indicators) and the capabilities of each page were determined. After implementing the dashboard and determining the access levels of users, obtaining a high score from the questions of the usability questionnaire (5 out of 7 points) and obtaining an average score of 71.8 out of 5 questions related to usefulness variables, 70.5 out of 8 questions related to ease of use. And 71 out of 3 questions related to the satisfaction variable showed that the dashboard designed for the hospital had high usability.

Hospital management dashboard information can be a basis for informed decision-making to achieve benefits such as identifying the best performance, improving performance quality, making faster decisions, reducing errors, improving capacity management and work flow, allocating resources and planning for growth and development.

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.