A Health 4.0 Based Approach Towards the Management of Multiple Sclerosis

Grigoriadis, Nikolaos; Bakirtzis, Christos; Politis, Christos; Danas, Kostas; Thüemmler, Christoph; Lim, Ai Keow

doi:10.1007/978-3-319-47617-9_10

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…Sannino et al [34] proposed a method that employs Health 4.0 capabilities to reduce the relative errors for estimating blood pressure values in a continuous, real-time, and noninvasive manner. Grigoriadis et al [35] , [36] investigated using Health 4.0 for precise mapping of multiple sclerosis symptoms over time to personalize care. In addition, Feussner et al [37] proposed to use digitalization for surgeries, using Health 4.0 features (named Surgery 4.0), to improve outcomes and reduce costs.…”

Section: Introductionmentioning

confidence: 99%

Health 4.0: On the Way to Realizing the Healthcare of the Future

2020

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Health 4.0 establishes a new promising vision for the healthcare industry. It creatively integrates and employ innovative technologies such as the Internet of Health Things (IoHT), medical Cyber-Physical Systems (medical CPS), health cloud, health fog, big data analytics, machine learning, blockchain, and smart algorithms. The goal is to deliver improved, value-added and cost-effective healthcare services to patients and enhance the effectiveness and efficiency or the healthcare industry. Health 4.0 (adapted from the Industry 4.0 principles) changes the healthcare business model to enhance the interactions across the healthcare clients (the patients), stakeholders, infrastructure, and value chain. This effectively will improve the quality, flexibility, productivity, cost-effectiveness, and reliability of healthcare services in addition to increasing patients’ satisfaction. However, building and utilizing healthcare applications that follow the Health 4.0 concept is a non-trivial and complex endeavor. In addition, advanced potential applications based on Health 4.0 capabilities are not yet being investigated. In this paper we define the main objectives of Health 4.0 and discuss advanced potential Health 4.0 applications. To have a clear understanding of these applications, we categorize them in 4 groups based on the primary beneficiary of these applications. Thus we have patient targeted applications, applications supporting healthcare professionals, resource management applications and high-level healthcare systems management applications. In addition, as we studied the different applications, we realized that these is a certain collection of services that these most of them need regardless of their goals or business context. Services supporting data collection and transfer, security and privacy, reliable operations are some examples. As a result we propose creating a service-oriented middleware framework to offers the common services to the applications developers and facilitate the integration of different services to build applications under the Health 4.0 umbrella.

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Section: Introductionmentioning

confidence: 99%

Health 4.0: On the Way to Realizing the Healthcare of the Future

2020

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“…Hence the healthcare will become more expensive (Thuemmler, 2017). Health 4.0 is defined as the health approach of Industry 4.0 (Grigoriadis et al, 2017;Thuemmler & Bai, 2017). The Health 4.0 follows the design principles of the Industry 4.0: The core design principles identified for the health domain are Interoperability, Virtualization, Decentralization, Real-Time Capability, Service Orientation, Modularity, Safety, Security and Resilience (Grigoriadis et al, 2017;Thuemmler, 2017).…”

Section: Introductionmentioning

confidence: 99%

Application of Automation and Manufacture techniques oriented to a service-based business using the Internet of Things (IoT) and Industry 4.0 concepts. Case study: Smart Hospital

2020

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Abstract: The implementation of Manufacture and Automation techniques is mandatory in the current world. Mainly, the enhancement and progress of healthcare are fundamental in wellbeing improvement. This paper points to the utilization of the Internet of Things (IoT) and Industry 4.0 concepts oriented to the optimization of a Smart Hospital using the Hospital Emergency Department (HED) as a case study. This proposal focuses on the development of a smart Hospital-based of the IoT, Industry 4.0, Health 4.0, and other current technology. On the other hand, the use of a computational simulation tool like the Discrete Event Simulation Model (DES) will allow the test, recognition, and reduction of bottlenecks in the HED workflow. The issue given by the bottlenecks is automatically controlled using an improved dynamic shift management proposal based on control theory, forecasting methods, and telemedicine. The results show an improvement in the use of the resources and a reduction of the length of stay that directly reduces the HED mortality rate, improving the service quality. The objective of this paper is to propose a simulation tool-based on DES for a selected HED, using forecasting methods of the patients’ arrival in a HED using the Autoregressive integrated moving average (ARIMA) model. Following the forecasted entries, a proposal for bottleneck avoidance using a HED DES was realized. The forecasting data provided useful predictive information for the improvement of the HED workflow. As well as the analyzed data of a traditional HED system is helpful to solve the overcrowding problem. Finally, the use of simulation tools allows the test and validation of novel proposals for two smart HED optimization proposals following e-Health and Hospital 4.0 principles.

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