Showing 4 results for Internet of Things
Mohssen Ghanavatinejad, Mahdieh Tavakoli, Dr Mohamadmehdi Sepehri,
Volume 18, Issue 3 (10-2019)
Abstract
Background: with increasing demand for treatment, patients are monitored with help of Internet of Things(IOT). Patient's monitoring devices and technologies include heart rate measurement, blood pressure measurement, blood glucose and other vital signs. The purpose of study is to provide a model of clustering patient physical monitoring gadgets and apps in Healthcare Internet of Things (HIOT) environment using data mining techniques, so based on the needs and characteristics of the user, the more appropriate results of choosing technologies acquired.
Materials and methods: This study is a review and functional since its result. The data includes 6 unique features of 60 selected technologies including function, price, connectivity route, power supply, location and type of use that has been extracted from R&D and advertising sites of technologies and also relevant articles. data analysis method is clustering technique and K-medoids algorithm. to identify the most effective features, random forest algorithm has been used.
Results: the proposed clustering model takes into account 6 as inputs and clusters gadgets and apps in accordance with selected characteristics as the model outputs. clustering problem data is clustered in 4 categories. Silhouette index is 0.45, which indicates the validity of the model. The type of application and then the price had the greatest impact on clustering.
Conclusion: By this model, patients or users can find the most appropriate technology based on the type of disease and other effective features, such as price. So with accurate physical and momentary monitoring, disease progression decrease and prevention of disease will improve.
Mohammadhossein Ronaghi,
Volume 19, Issue 2 (8-2020)
Abstract
Background: The fourth industrial revolution consists of combining network devices with cloud computing methods and analyzing large data and artificial intelligence, which makes it possible to call such an infrastructure smart. In a Smart Hospital, all things and devices are designed to be connected and integrated, thus achieving better patient care, increasing efficiency and reducing time waste. Therefore, the aim of this paper was to recognize the components of smart hospital based on disruptive technologies of industry 4.0.
Materials and Methods: This applied research has been done in two phases using qualitative approach in winter 2019. In the first step, the components of smart hospital were recognized from previous studies. In the second step, research experts evaluate conceptual model by Delphi method. The expert panel consists of 15 individuals active in information technology in healthcare according to targeted sampling.
Results: According to research results the main components of smart hospital are eight technologies: Internet of things technology, robotic, blockchain technology, cloud computing, big data, augmented and virtual reality technology, additive manufacturing and artificial intelligence.
Conclusion: According to components of smart hospital, Hospitals managers should equip their organization and adopt process and equipment by disruptive technologies. Due to sanctions, investment in Iranian knowledge-based companies active in new technologies field and Joint venture with them can be a suitable solution for healthcare policymakers.
Mohammadreza Zahedi, Seyyed Mahdi Hosseini Sarkhosh,
Volume 22, Issue 2 (9-2023)
Abstract
Background and purpose: The Internet of Things (IoT) essentially refers to the connectivity of various objects through the internet to facilitate a more efficient and intelligent experience. However, due to the emerging nature of this technology in Iran, instances of its full deployment in service organizations, including hospitals, are rare or infrequent. Therefore, the aim of this study is to identify the key success factors for the deployment of IoT and assess the readiness for implementing this technology in Milad Hospital, Tehran.
Methods: This research is a descriptive-survey study conducted in two phases. In the first phase, 30 key success factors were identified through a review of previous studies. In the second, survey phase, 93 managers and staff members of Milad Hospital formed the statistical population, and data was collected through a researcher-made questionnaire. The comparison of the current and ideal states of success factors for IoT implementation, and their ranking, were done using the t-test and Friedman test in SPSS software.
Results: Based on this study, factors such as information technology, organizational culture, organizational structure, and human resources were identified as the most crucial for successful IoT deployment in the hospital. Additionally, the results showed that there is a significant gap between the hospital's current state and the desired state for IoT implementation in these identified areas.
Conclusion: Successful implementation of IoT requires enhancement in readiness, both in terms of technological and organizational-cultural infrastructures
Javad Pourgholam Sarivi, Fatemeh Rahmaty, Maryam Yaghoubi,
Volume 22, Issue 2 (9-2023)
Abstract
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.
Materials and Methods: 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.
Results: 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.
Conclusion: 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.
