Adoption of Internet of Things in Healthcare Organizations

The Internet of things (IoT) is a paradigm that integrates different types of devices which can operate in any environment with their sensing, communicating, and processing capability. This domain has been a revolutionary changing of healthcare operations by providing a new architecture for devices and applications through IP-based connection capability. Furthermore, IoT is a generic platform to exchange information between mobile health devices and other ubiquitous technologies. Although there have been several studies that focus on IoT applications in healthcare, adoption of IoT in healthcare remains largely unknown. The goal of this study is (i) to close the gap in literature by addressing IoT adoption in healthcare; (ii) to help decision-makers to understand the main variables which affect adoption decision among different users in terms of top level managers, healthcare professionals, technical staff, and patients; and (iii) to present recommendations for healthcare managers to improve the adoption process of IoT devices in their organizations. We believe that this study would provide a better understanding of main barriers and facilitators regarding user perspectives during organizational IoT transformation in healthcare.


On the performance, availability and energy consumption modelling of clustered IoT systems
Ever, Enver; Shah, Purav; Mostarda, Leonardo; Omondi, Fredrick; Gemikonakli, Orhan (Springer Science and Business Media LLC, 2019-12-01)
Wireless sensor networks (WSNs) form a large part of the ecosystem of the Internet of Things (IoT), hence they have numerous application domains with varying performance and availability requirements. Limited resources that include processing capability, queue capacity, and available energy in addition to frequent node and link failures degrade the performance and availability of these networks. In an attempt to efficiently utilise the limited resources and to maintain the reliable network with efficient da...
Optimizing Multipath Routing With Guaranteed Fault Tolerance in Internet of Things
Hasan, Mohammed Zaki; Al-Turjman, Fadi (2017-10-01)
Internet of Things (IoTs) refers to the rapidly growing network of connected objects and people that are able to collect and exchange data using embedded sensors. To guarantee the connectivity among these objects and people, fault tolerance routing has to be significantly considered. In this paper, we propose a bio-inspired particle multi-swarm optimization (PMSO) routing algorithm to construct, recover, and select k-disjoint paths that tolerates the failure while satisfying the quality of service parameter...
Explainable Security in SDN-Based IoT Networks
Sarica, Alper Kaan; Angın, Pelin (2020-12-01)
The significant advances in wireless networks in the past decade have made a variety of Internet of Things (IoT) use cases possible, greatly facilitating many operations in our daily lives. IoT is only expected to grow with 5G and beyond networks, which will primarily rely on software-defined networking (SDN) and network functions virtualization for achieving the promised quality of service. The prevalence of IoT and the large attack surface that it has created calls for SDN-based intelligent security solut...
Investigation of energy efficient traffic adaptive mac layer protocols for multi-hop ad-hoc networks
Senem, Murat; Baykal, Buyurman; Department of Electrical and Electronics Engineering (2017)
Multi Hop Ad-Hoc Networks typically refer to interconnected sensing devices with limited processing, communication, and power capabilities. Self-organization, reliability, and energy efficiency are important issues in these networks. Energy efficient, traffic adaptive, multi-channel, and schedule based MAC Layer protocols have been studied for ad-hoc networks in this thesis. Medium sharing problem is one of the most important topic for multi hop ad-hoc networks, especially under intensive data traffic. In r...
Quantifying Uncertainty in Internet of Medical Things and Big-Data Services Using Intelligence and Deep Learning
Al-Turjman, Fadi; Zahmatkesh, Hadi; Mostarda, Leonardo (Institute of Electrical and Electronics Engineers (IEEE), 2019-01-01)
In the cloud-based Internet of Things (IoT) environments, quantifying uncertainty is an important element input to keep the acceptable level of reliability in various configurations. In this paper, we aim to address the pricing model of delivering data over the cloud while taking into consideration the dynamic uncertainty factors such as network topology, transmission/reception energy, nodal charge and power, and computation capacity. These uncertainty factors are mapped to different nodes with varying capa...
Citation Formats
S. Özkan Yıldırım, Adoption of Internet of Things in Healthcare Organizations. 2018, p. 302.