The Internet of Things and Opportunities for Pervasive Safety Monitored Health Environments

2016 ◽  
pp. 1568-1605 ◽  
Author(s):  
Vaughan A. Michell

This chapter discusses the opportunities for new ubiquitous computing technologies, with concentration on the Internet of Things (IoT), to improve patient safety and quality. The authors focus on elective or planned surgical interventions, although the technology is applicable to primary and trauma care. The chapter is divided into three main sections with section 1 covering medical error issues and mechanisms, section 2 introducing Internet of Things, and section 3 discussing how IoT capabilities may address and reduce medical errors. The authors explore the existing theory of errors expounded by Reason (Reason, 2000, 1998; Leape, 1994) to identify perception-, decision-, and knowledge-based medical errors and related processes, environments, and cultural drivers causing error. The authors then introduce the technology of the Internet of Things and identify a range of capabilities from sensing, tracking, control, cooperative, and semantic reasoning. They then show how these new capabilities might be applied to reduce the errors expounded by the discussed error theories. They identify that: IoT enables augmentation of objects, which provides a massive increase in information transfer, thus improving clinician perception and support for decision-making and problem solving; IoT provides a host of additional observers and opportunities, which can shift the focus of overworked clinicians from constant monitoring to undertaking complex actions, such as decision making and care; IoT networks of sensors and actuators, through the addition of semantic and contextual rules, support decision making and facilitate automated monitoring and control of pervasive safety-monitored health environments, thus reducing clinician workload.

2017 ◽  
pp. 202-240
Author(s):  
Vaughan Michell

This chapter discusses the opportunities for new ubiquitous computing technologies, with concentration on the Internet of Things (IoT), to improve patient safety and quality. The authors focus on elective or planned surgical interventions, although the technology is applicable to primary and trauma care. The chapter is divided into three main sections with section 1 covering medical error issues and mechanisms, section 2 introducing Internet of Things, and section 3 discussing how IoT capabilities may address and reduce medical errors. The authors explore the existing theory of errors expounded by Reason (Reason, 2000, 1998; Leape, 1994) to identify perception-, decision-, and knowledge-based medical errors and related processes, environments, and cultural drivers causing error. The authors then introduce the technology of the Internet of Things and identify a range of capabilities from sensing, tracking, control, cooperative, and semantic reasoning. They then show how these new capabilities might be applied to reduce the errors expounded by the discussed error theories. They identify that: IoT enables augmentation of objects, which provides a massive increase in information transfer, thus improving clinician perception and support for decision-making and problem solving; IoT provides a host of additional observers and opportunities, which can shift the focus of overworked clinicians from constant monitoring to undertaking complex actions, such as decision making and care; IoT networks of sensors and actuators, through the addition of semantic and contextual rules, support decision making and facilitate automated monitoring and control of pervasive safety-monitored health environments, thus reducing clinician workload.


Author(s):  
Vaughan Michell

This chapter discusses the opportunities for new ubiquitous computing technologies, with concentration on the Internet of Things (IoT), to improve patient safety and quality. The authors focus on elective or planned surgical interventions, although the technology is applicable to primary and trauma care. The chapter is divided into three main sections with section 1 covering medical error issues and mechanisms, section 2 introducing Internet of Things, and section 3 discussing how IoT capabilities may address and reduce medical errors. The authors explore the existing theory of errors expounded by Reason (Reason, 2000, 1998; Leape, 1994) to identify perception-, decision-, and knowledge-based medical errors and related processes, environments, and cultural drivers causing error. The authors then introduce the technology of the Internet of Things and identify a range of capabilities from sensing, tracking, control, cooperative, and semantic reasoning. They then show how these new capabilities might be applied to reduce the errors expounded by the discussed error theories. They identify that: IoT enables augmentation of objects, which provides a massive increase in information transfer, thus improving clinician perception and support for decision-making and problem solving; IoT provides a host of additional observers and opportunities, which can shift the focus of overworked clinicians from constant monitoring to undertaking complex actions, such as decision making and care; IoT networks of sensors and actuators, through the addition of semantic and contextual rules, support decision making and facilitate automated monitoring and control of pervasive safety-monitored health environments, thus reducing clinician workload.


Author(s):  
Muhammad Imran ◽  
Jawad Iqbal ◽  
Hassan Mujtaba Nawaz Saleem

The main objective of the chapter is to discuss the relationship between internet of things and knowledge management; knowledge management and open innovation; open innovation and SMEs sustainability. The relationship between the constructs developed and discuss on the behalf of past studies. The present chapter found that Internet of Things is playing an important role in knowledge generation and management, further, knowledge management is very important for open innovation environment in SMEs. Moreover, the open innovation sustains the SMEs performance. In respect of implications, the owner / managers of SMEs should consider the Internet of Things, knowledge management, and open innovation capabilities during the decision making for SME sustainability. Moreover, this is a process framework which brings the effect of one variable to other variables. However, the future studies should empirically validate the proposed research framework.


2019 ◽  
Vol 8 (4) ◽  
pp. 8775-8778

Recent progress in learning indicates the importance of students to be active in invents things rather than passive recipients. Smart Classrooms can make a noticeable change in how teachers can teach and learners can learn. The objective of the project presented in this paper is to propose a smart algorithm that provides a means of achieving a smart classroom environment in which most of the manual processes are automated and provides an efficient way of interconnecting multiple classes, thereby providing a unique way for information transfer. The proposed algorithm uses the Internet of Things to communicate between various classrooms and transmit/receive the required information. An embedded module installed in each classroom can collect information such as attendance detail, teacher’s location, and updates the information in the server for future use. These details are then used for some critical purposes, such as sending circulars, calling a particular teacher immediately to the office, etc


2017 ◽  
Author(s):  
Ivan Zyrianoff ◽  
Fabrizio Borelli ◽  
Alexandre Heideker ◽  
Gabriela Biondi ◽  
Carlos Kamienski

Context-Aware Management Systems have been proposed in the last years to perform automatic decision making for the Internet of Things. Although scalability is an indispensable feature for those systems, there are no comprehensive results reporting their performance. This paper shows results of a performance analysis study of different context-aware architectures and introduces the SenSE platform for generating sensor synthetic data. Results show that different architectural choices impact system scalability and that automatic real time decision-making is feasible in an environment composed of dozens of thousands of sensors that continuously transmit data.


Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3053 ◽  
Author(s):  
Bruno Mozzaquatro ◽  
Carlos Agostinho ◽  
Diogo Goncalves ◽  
João Martins ◽  
Ricardo Jardim-Goncalves

The use of sensors and actuators as a form of controlling cyber-physical systems in resource networks has been integrated and referred to as the Internet of Things (IoT). However, the connectivity of many stand-alone IoT systems through the Internet introduces numerous cybersecurity challenges as sensitive information is prone to be exposed to malicious users. This paper focuses on the improvement of IoT cybersecurity from an ontological analysis, proposing appropriate security services adapted to the threats. The authors propose an ontology-based cybersecurity framework using knowledge reasoning for IoT, composed of two approaches: (1) design time, which provides a dynamic method to build security services through the application of a model-driven methodology considering the existing enterprise processes; and (2) run time, which involves monitoring the IoT environment, classifying threats and vulnerabilities, and actuating in the environment ensuring the correct adaptation of the existing services. Two validation approaches demonstrate the feasibility of our concept. This entails an ontology assessment and a case study with an industrial implementation.


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