جستجوی مقالات مرتبط با کلیدواژه « internet of things » در نشریات گروه « پزشکی »

Introduction : The Internet of Things (IoT) enables the connectivity of all devices in our daily lives, and it has had a positive impact on healthcare, specifically in disease diagnosis and prevention, especially during times of crisis. The objective of this research is to identify the factors that influence the use of IoT in combating COVID-19 in hospitals.

This qualitative study was conducted in 2023, using semi-structured face-to-face and telephone interviews with ten experts in health information technology and the Internet of Things. Data analysis was conducted using directed content analysis with MAXQDA software, version 2018.

The data analysis resulted in 124 codes, which were then divided into 32 subcategories. These subcategories were further classified into six categories according to the model of the International Telecommunication Union. The categories include Network (five subcategories), Application (ten subcategories), Equipment (four subcategories), Support (three subcategories), Management (six subcategories), and Security (four subcategories). The Application category had the highest frequency, while the Support category had the lowest.

Infrastructure and legal aspects are among the most significant factors in the implementation of the Internet of Things in healthcare, particularly in the fight against COVID-19.

Rapid advancement of industry and technology in recent decades has led to emergence of the concept of smart hospitals. New technologies are used in smart hospitals to improve healthcare quality, safety, and productivity. This study was conducted to investigate the prerequisites and challenges of implementing smart hospitals in Iran.

This analytical review was conducted in the summer of 2023. For this purpose, relevant articles about smart hospitals were searched in PubMed, Scopus, and SID databases. Subsequently, the prerequisites and challenges of implementing smart hospitals in Iran were identified and extracted via reviewing and analyzing these articles,. Finally, the obtained results were categorized and presented in this paper.

The most important technological and infrastructural prerequisitesinclude full implementation of electronic health records, utilizing artificial intelligence and machine learning algorithms, establishing clinical decision support systems, deploying the internet of things and sensors, developing proper networking and hardware infrastructure, and adopting international standards. Also, existing challenges comprise cultural and organizational resistance, lack of financial resources, shortage of skilled workforce, poor technical infrastructure, and limitations due to sanctions.

Implementing smart hospitals in Iran requires providing infrastructure and fulfilling technological prerequisites as well as overcoming the existing challenges. Given the current situation, it is suggested that this objective be achieves gradually with a focus on certain areas or processes. Moreover, meticulous strategic planning involving all stakeholders is essential.

The fourth industrial revolution or the 0.4 industry will change our perception of the world around us by benefiting from technologies such as the Internet of Things, the Internet, cloud computing and artificial intelligence. This industry has wide applications in the health sector. As a result, this research was conducted with the aim of identifying and modeling the resulting drivers of the 0.4 industry in Kashan health and treatment. This research is a mixed type of research and was done in 2 stages. In the first stage, the outcome drivers are identified and in the second stage, a model for them is presented. The sampling method is purposeful in both stages. The number of participants in stages 1 and 2 is 14 and 10 people, respectively, the data collection tool is semi-structured interviews and a researcher-made questionnaire, and the method of data analysis is thematic analysis and fuzzy total interpretive structural modeling. To identify the outcome drivers of using industry 4.0 in the health sector, 55 drivers were identified through interviews, which were categorized into 12 categories. Based on the drivers model, it was determined that improving medical science, product and service design, access, and data protection are the most important drivers that can be considered in the country's macro policies, health sector policies, and organizational strategies. To stimulate the health sector to go towards healthcare 0.4, the three main sides (government, society, and health sector managers) must gain the necessary knowledge in this regard. According to the findings of the research, it is necessary to hold recent developments in the field of medical science, which have been caused by industry 4.0, in the form of educational workshops for health department managers and government policymakers.

The internet of Things has become more popular as a new technology since the advent of wireless technology, and attracted attention from supply chain management promoters. This study aimed to identify and analyze IoT applications in the pharmaceutical supply chain agility in the post-COVID-19 era

We first review previous studies in applications of IoT in pharmaceutical supply chain agility and identified the findings through qualitative content analysis. Then, the identified factors were given to 20 management and information technology experts to confirm and validate.

The results showed that IoT applications on the pharmaceutical supply chain agility in 9 components and 50 indicators. First of all, the most important factor is faster communication with other stakeholders (suppliers, manufacturers, distributors, and customers) using the IoT in the supply chain. Secondly, the use of IoT for drug production; manufacturers invest in technologies that lead to lower operating costs in the long term, because network devices and sensors do not make mistakes, do not need rest and training, and do not take vacations. Therefore, they increase the agility of the production process and are a reliable and cost-effective alternative for productivity in production.

The wide applications of the proposed model indicate the need to consider the use of the IoT in the pharmaceutical industry supply chain in order to improve overall supply chain performance and focus on supply chain agility.

One of the most important management a in the E -health system is Security, which plays an important role in increasing public confidence in the quality of services. In this study, the allocation of High security improves the interoperability of remote devices.

In this research, the published studies were reviewed which led to the design of the initial conceptual model and in the next stage, Delphi's four steps were screened by 22 experts in the field and finally the final conceptual model was presented with effective factors. As the results depicted, Kendall coordination coefficient in the fourth round was 0.007, which shows that there is a consensus among experts and it is possible to end the repetition of stages, and this amount is considered statistically significant.

This research expressed the acceptance of secure EHR by considering different dimensions through presenting a conceptual model and explored IoT entrepreneurial opportunities as well as more appropriate responses to patients in the IT space. The initial conceptual model has 3 sections: Patient data smart tools, Cloud storage, Smart doctor environment and finally the final conceptual model was presented with effective factors.

the final conceptual model directly affects important therapeutic indicators such as reducing the number of errors and length of treatment. The ability to transfer data in this platform has led to the smarter telemedicine.

One of the most important management a in the E -health system is Security, which plays an important role in increasing public confidence in the quality of services. In this study, the allocation of High security improves the interoperability of remote devices. In this research, the published studies were reviewed which led to the design of the initial conceptual model and in the next stage, Delphi's four steps were screened by 22 experts in the field and finally the final conceptual model was presented with effective factors. As the results depicted, Kendall coordination coefficient in the fourth round was 0.007, which shows that there is a consensus among experts and it is possible to end the repetition of stages, and this amount is considered statistically significant. This research expressed the acceptance of secure EHR by considering different dimensions through presenting a conceptual model and explored IoT entrepreneurial opportunities as well as more appropriate responses to patients in the IT space. The initial conceptual model has 3 sections: Patient data smart tools, Cloud storage, Smart doctor environment and finally the final conceptual model was presented with effective factors. the final conceptual model directly affects important therapeutic indicators such as reducing the number of errors and length of treatment. The ability to transfer data in this platform has led to the smarter telemedicine.

IoT technology offers many benefits in dealing and controlling COVID-19 disease and will greatly facilitate the process of continuous remote patient diagnosis and monitoring with wireless sensors and smart devices. Also, Internet of Things, has positive effects in the field of health and treatment and promotion of electronic health services, including reducing health treatment care costs and delivery of treatment services in a faster manner. This article has been prepared with the aim of investigating the effect of Internet of Things on the promotion of electronic health services for COVID-19 patients from the perspective of treatment staff (physicians and nurses) of Golestan accidents hospital in Kermanshah city.

This research from the type, is quantitative and from the objective, is practical. The statistical sample of the present study consisted of 86 medical staff of Golestan accidents hospital in Kermanshah, which included nurses and physicians. In order to collect data, a researcher-made questionnaire was used, which was approved by 5 experts in the field of health and treatment.

The results indicate that all variables with a positive path coefficient have a positive relationship between the variables and the impact of the Internet of Things on the promotion of e-health services is confirmed and significant.

IoT applications and technology can be a tool for promoting e-health services for COVID-19 patients by educating medical staff and the general public, providing infrastructure, and other appropriate measures, and assisting e-health services in achieving their goals.

Advances in technology and user acceptance have led to the production and launch of wearable devices by startup companies over the years, as well as the spread of the Internet of Things, which can create amazing opportunities, especially for insurers. The purpose of this article, while introducing the Internet of Things and wearable technologies and explaining the reasons for their importance in life and health insurance, is to introduce and review the insurance companies that use these technologies in presenting their products in order to provide a clear picture of their application and capabilities. This research, using a qualitative method of descriptive-exploratory type, examines the applications, capabilities and challenges of using wearable technologies in life and health insurance. The research results show that there are different technologies for assessing the insured risk and the insurer’s awareness of the insured health status, each of which considers different indicators. The results indicate that the use of health wearables from various dimensions such as risk assessment, insurance processes, damage control and cost and time reduction is effective in designing life insurance and treatment products. Therefore, life and health insurers, in addition to considering these technologies in the design and delivery of products, must be prepared to face challenges such as data management, building the necessary infrastructure, privacy and data security. In this regard, it is necessary in the early stages of planning these technologies, strategies such as increasing awareness and encouraging customers to use these technologies, partnerships with companies in the field of health, data security, product innovation, damage control and insurance processes.

In recent years, hospitals have faced various challenges, such as budget cuts and increased competition in the healthcare field. Internet of Things based health care is expected to increase quality of life in addition to reducing costs. The purpose of this study is to identify and prioritize Internet of Things technological applications on hospital quality management using a structural interpretive approach.

The present research is applied in terms of purpose, mixed in terms of research nature and a descriptive-analytical research in terms of data collection method. The most important technological applications of Internet of Things on hospital quality management through Delphi method (in 2 stages) were identified and interpretive-structural modeling was used to analyze the information.

Applications of controlling the vital signs of the patient, caring for patients without the need for the presence of the person on site, checking the inventory of equipment and essentials, tracking and monitoring the performance of staff, patients and inventory, intelligent monitoring and regulation of environmental conditions of patient care and medication, road visits patient turnover in acute and special times, reduction of hospital waste, monitoring of physical activity of the elderly and launching online communities and online medical consulting were identified as the key factors.

Due to the effectiveness of the Internet of Things in the field of health care, medical center officials are advised to make appropriate changes in the field of information technology so that they can take useful steps to improve the quality of their services.

Blockchain can be defined as a distributed and immutable digital ledger that provides data transparency and user privacy. According to the applications of blockchain, the conducting each application needs planning and cost management. In so doing, this study endeavored to identify and rank applications of blockchain technology in healthcare.

This descriptive study was done in the winter semester of the academic year 2020. In the first phase, applications of blockchain in healthcare were recognized from library resources by qualitative content analysis and in the next phase, applications of technology were prioritized by a panel of experts with 17 members. Then, we used fuzzy SWARA method for ranking applications of blockchain in healthcare.

The results revealed that electronic health records (0.43), smart contracts (0.21), internet of things infrastructure (0.15), information security and privacy (0.08), administrative management (0.06) and electronic voting (0.04) are the important applications of blockchain in healthcare.

Finding of this study showed blockchain technology has important applications in healthcare electronic health records and smart contracts. Therefore, health system policymakers should provide infrastructure for blockchain technology implementation between medical and health organizations. This study can contribute to the research in the blockchain and enrich the literature on the application of blockchain in healthcare

Recently, the Internet of Things (IoT) allows patients and healthcare providers to transfer the treatment process to the patients and enables them to manage the disease and receive help from the healthcare team and mobile devices. This has been considered as a promising solution to improve the quality of healthcare. The objective of this study was to investigate the factors affecting the acceptance of smart healthcare devices using an integrated technology acceptance model.

In this descriptive-survey research, 169 out of 300 patients of Gil hospital in Rasht were selected based on Morgan table. The questionnaires by Papa et al. and Li et al. were applied to test the hypothesis. The structural equation technique and t-test were used to analyze the data.

According to the research findings, the effect of “permeability”, “comfort”, “perceived social risk”, and “performance risk” on “perceived usefulness and ease”, the effect of “perceived usefulness and ease” on “attitude towards the acceptance of smart healthcare devices”, and finally, the effect of “attitudes toward the acceptance of smart healthcare devices” on the “behavioral intention to use these devices” were confirmed.

The results showed that the integrated technology model can play an effective role in identifying and examining the factors affecting the acceptance of smart healthcare devices and can be utilized as an important source of information for the use of these devices.

Today, healthcare organizations worldwide are aware of the significance of technology and its impact on the quality of care. Hospitals are one of the most crucial systems in which the utilization of information is particularly important for several reasons. Using discrete-event simulation and developing a recommender agent, this study aimed to allocate IoT devices to patients in such a way as to minimize the number of medical errors and the length of treatment.

To carry out this research, first, the current condition of the medical care system was modeled using discrete-event simulation. Then, the scenario of introducing IoT into the model was simulated. Finally, using agent-based modeling, the recommender agent was developed to optimize the allocation of IoT devices to the patients.

Implementing recommender agent in the simulation model indicated that using IoT and recommender agent in medical processes leads to reducing medical errors and length of treatment.

Utilizing the IoT in medical processes reduces errors, although the extent of its effectiveness varies at different stages of treating various diseases. Since some disease-specific IoT devices overlap in their functions, and given the limited number of these devices in hospitals, it is recommended that a recommender agent be used to ensure maximum effectiveness. Recommender agents make informed decisions as to how IoT devices can be efficiently allocated to patients at each stage of their treatment.