See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/331405573 Analysis of Industry 4.0 Technologies Applied to the Health Sector: Systematic Literature Review: Personalentwicklung am Beispiel eines Tutorenprogramms Chapter · January 2019 DOI: 10.1007/978-3-030-14730-3_73 CITATIONS READS 0 45 5 authors, including: Franco da Silveira Italo Rodeghiero Neto Universidade Federal do Rio Grande do Sul Universidade Federal do Rio Grande do Sul 26 PUBLICATIONS 1 CITATION 4 PUBLICATIONS 0 CITATIONS SEE PROFILE SEE PROFILE Filipe Molinar Machado Marcelo Pereira da Silva Universidade Regional Integrada do Alto Uruguai e das Missões Universidade Federal do Rio Grande do Sul 23 PUBLICATIONS 1 CITATION 15 PUBLICATIONS 23 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Design Management View project Analysis of environmental performance of industrial processes View project All content following this page was uploaded by Franco da Silveira on 07 March 2019. The user has requested enhancement of the downloaded file. SEE PROFILE Analysis of Industry 4.0 Technologies Applied to the Health Sector: Systematic Literature Review Franco da Silveira, Italo Rodeghiero Neto, Filipe Molinar Machado, Marcelo Pereira da Silva and Fernando Gonçalves Amaral Abstract The health sector is possibly the sector most in need of an adequate technological convergence of factors of the Fourth Industrial Revolution. Health 4.0 can be understood as the set of technological procedures emerging from the physical, biological and digital worlds that seeks to improve the efficiency and effectiveness of health processes and professionals with guidelines for transforming data into useful and accessible information. However, systematizing and qualitatively describing the contributions of industry 4.0 in the context of the health sector is a complex task. This article presents an analysis of industry 4.0 related to the health sector and their descriptive characteristics. As a complement, it discusses the perspectives for the greater use of technology in the health area. In methodological terms, a Systematic Bibliographic Review was applied in the context of industry 4.0 with emphasis on terms referring to health issues in two international databases (Science Direct and ISI Web of Science). The research is classified as descriptive and qualitative, of an exploratory nature. As a result, the main technologies that are part of Health 4.0 have been identified in the literature and should be adopted to avoid future problems with patients. The results obtained contribute to narrowing the gap of information about industry 4.0 in the health sector. Keywords Industry 4.0 Health 4.0 Emerging technologies F. da Silveira I. R. Neto M. P. da Silva (&) F. G. Amaral Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil e-mail: [email protected] F. da Silveira e-mail: [email protected] I. R. Neto e-mail: [email protected] F. G. Amaral e-mail: [email protected] F. M. Machado Federal University of Santa Maria (UFSM), Santa Maria, Rio Grande do Sul, Brazil e-mail: [email protected] © Springer Nature Switzerland AG 2019 P. M. Arezes et al. (eds.), Occupational and Environmental Safety and Health, Studies in Systems, Decision and Control 202, https://doi.org/10.1007/978-3-030-14730-3_73 701 702 F. da Silveira et al. 1 Introduction Industry 4.0 is combined with intelligence in data processing [1]. The recently proposed concept of Industry 4.0 represents the fourth industrial revolution, which is defined as a new level of organization and control over the product lifecycle value chain, with an emphasis on customer requirements that become more individualized [2]. The term “Industry 4.0” emerged in Germany in 2011 through the integration between associations of business representatives, politicians and academic researchers who sought to promote the idea as an approach to strengthen the competitiveness of German manufacturing industry [3] and bridging the boundaries between the digital, physical and biological worlds [4]. In health, the principles of Industry 4.0 incorporate the digitization of clinical, medical and laboratory data, implementing the automation of several manual processes used in hospital and general health environments [5]. However, services in the health sector always present challenges, since different diseases can be developed over the years [6]. Thus, to improve the efficiency and speed of physicians, to explore patient data in hospitals, to enable optimization of resources and to minimize deterioration of the patient’s health [7], real-time communication technologies [8], Big Data, human-machine cooperation, remote sensing, process monitoring and control, stand-alone equipment and interconnectivity [9] are becoming very active and responsible for positive impacts on health and safety management [10]. In this context, the term “health 4.0”, developed by the Aliança Brasileira da Indústria Inovadora de Saúde (ABIIS) stands out from the characteristics of industry 4.0, which proposes an interaction between technology and human beings in the health sector. In Health 4.0, the possibilities of collaborative partnerships among actors in the same value chain, who can share the coordinated planning of production and distribution, in an agile and effective way to the needs of users, are facilitated. The work is developed with adequate inventories to avoid delays or unavailability of products and there is a fast response to the demands of the end users and an efficient control in the transaction of patient data in hospitals [11]. However, understanding how to perform data digitization, interconnectivity between machines and commands, more efficient databases, and, in particular, greater autonomy of patients in relation to their own health is a complex task [12]. Exploring technology-driven initiatives that make life easier for human beings will be a research trend. Thus, this article presents an analysis of industry 4.0 related to the health sector and their respective characteristics in Brazil. As a complement, this research seeks to verify the perspectives for the use of technology in the health area. It should be emphasized that although the study presents an analysis of industry 4.0 in the health sector, it is not the objective of the research to define rigorously the semantics and syntax of the Brazilian context. The proposed results of the analysis demonstrate which perspectives should be adopted in the health sector, facilitating the dissemination of knowledge regarding Health 4.0. The main contribution of the article to the literature is the identification of qualitative and exploratory health variables for an analysis and adaptation of Analysis of Industry 4.0 Technologies Applied to the Health … 703 technologies that can be used in hospitals. The propositions and reflections raised did not contribute to subsidize the scientific research on the subject, which can give continuity to this study. 2 Methodology To carry out the initial stage of the research, it was necessary to develop the formulation of the research problem and its delimitation of context, focused on the interface between industry 4.0 and the Brazilian health sector. The general and specific objectives of the work were then elaborated. In the third stage, the theoretical study was made. To carry out the theoretical part of the research, the method of Systematic Literature Review (SLR) was selected. The SLR methodology uses as a data source the existing literature on a given theme, selects and evaluates contributions, analyzes and synthesizes data [13]. In addition, it describes the evidence in order to allow clear conclusions about the topics that are already known, as well as what is unknown about the subject matter [13, 14]. The analysis (fourth stage of the research) is characterized as theoretical-conceptual and objective to present the main technologies that contextualize health 4.0, in order to analyze their descriptions. The scope of the literature review includes articles published in journals and journals that deal with the context of industry 4.0, with emphasis on aspects related to the health sector. The databases used were Science Direct and ISI Web of Science due to the breadth of these bases and relevance to the areas of knowledge covered by this research (industry 4.0, health 4.0, healthcare, health technologies and related areas). To perform the advanced searches in the databases, it was necessary to make use of logical operators. Subsequently, it was necessary to establish the keywords (without quotes and without refinement by area of knowledge) to be used in the theoretical survey in the databases. After the searches, the refinement of the survey considered the period between 2011 and 2018 in the databases. The search procedure was carried out between June 20 and July 10, 2018. Only papers written in English and documents such as “article”, “review” or books and book chapters were selected. The keywords used by the authors fall into the following two categories: (i) industry-related keywords 4.0, such as: industry 4.0, cyber-physical systems, Cloud Computing (CC), Internet of Things (IoT); and (ii) health related keywords such as: health, smart hospitals, Smart Healthcare, Healthcare Services. For the files available in full, it was necessary to perform a complete reading and their references were observed to ensure that other works have not been detected in the original survey. After applying the filtering based on the previously explicit criteria, 178 articles were identified. The articles that had only relation with the industry 4.0 in the title were excluded, for a total of 105. Subsequently, the abstracts that considered the established terms were evaluated and 30 other papers were excluded, which 704 F. da Silveira et al. emphasized the concept of industry 4.0 and did not mention the health sector. Finally, another filtering was carried out with emphasis on the introduction and conclusion, being excluded respectively another 33 works. Thus, 10 research papers were selected as containing more details about the technologies of industry 4.0 that are being used in health. The research sought to select different approaches of the technologies, with the purpose of demonstrating the evolution and the progress of the health sector from research in universities and companies. In addition, it sought to present the state of the art and analysis of gaps of different levels of integration components, analyzing different proposals existing in the literature. 3 Results 3.1 Industry Technologies 4.0 Used in the Health Sector Technological innovations have driven the health sector to an unprecedented level. Different medical devices, many of them portable, are being sold in the consumer market to provide a healthier lifestyle for society [15]. Some of the technologies relate to Cloud Computing (CC) and Internet of Things (IoT). These are platforms that provide alternatives to medical support through the solution of various problems in health applications, with intelligent hospitals, drug control and remote medical services [6, 8]. In addition, with cyber-physical systems, they can interconnect with a combination of softwares, sensors, processing and communication technologies that together play an important role in decision making by providing accurate and momentous information [3]. With the interconnection of hospitals, people and systems provide real dynamics with optimized time and self-organized with respect to the patient’s condition. Industry 4.0 technologies that present similarities in the use of the health sector should also develop new paradigms on occupational health and safety management, as safer equipment is needed to operate and work environments and practices with better control and management [10]. For Chang [16], another technology that should facilitate the exploration of areas that can not be easily reached by traditional means of medicine is computational intelligence, which includes simulations of genes and proteins related to the development and immunity of cancer. As in the context of industry 4.0, the literature does not present a unique way of naming health technologies 4.0. The classifications used in the literature are often incompatible with each other, since they classify the same technologies into different categories [17]. As a way of contributing to this diversity of health technology classification 4.0, this work uses the functionalities of technologies as a way of categorizing them. In Table 1 are the main technologies found in the literature that contemplate the principles of industry 4.0 and that are commonly used in the health sector. To facilitate the understanding, it was necessary to present the Authors/ year Technology Description Objective Countries References Pang et al. (2013) Internet ofThings (IoT) Home health services based on IoT to solve problems caused by population aging Sweden [22] Trinugroho et al. (2014) Internet ofThings (IoT) Norway [15] Catarinucci et al. (2015) Internet ofThings (IoT) Support IOT-based communications between devices and health services in an event-driven manner Identification by radiofrequency, wireless sensor network and intelligent mobile technologies of patients’ physiological parameters Italy [23] Zhang et al. (2015) Wearable Devices and Smartphones Continuous monitoring of health conditions, remotely diagnose phenomena and share health information in real time Canada [20] Darwish et al. (2017) Cloud Computing (CC) e Internet of Things (IoT) Egypt [6] Elhoseny et al. (2017) Cloud Computing (CC) The integration of technologies provides a solution to various problems in health applications, drug control and distance medical services Intelligent systems based on cloud environment for hospital health services Propose a business-technology developed in co-design that realizes an integration of devices and services of home health attention Describe the platform developed, with emphasis on reliability aspects, including availability, scalability and security To propose a new intelligent architecture, with IoT recognition, for automatic monitoring and tracking of patients, people and biomedical devices inside hospitals and nursing institutes Investigate the security and privacy protection of multifunctional wearable devices and the widespread use of smartphones, including aggregation of privacy data that preserves privacy, secure health data processing, and detection of misbehavior Present a new concept of CC and IoT integration for health applications (CloudIoT-Health) Improve scheduling of tasks and reduce stakeholder engagement time (patients, doctors, nurses, for example) and maximize resource utilization in clouds Egypt [5] Analysis of Industry 4.0 Technologies Applied to the Health … Table 1 Technologies developed in Industry 4.0 used in the Health Sector (continued) 705 706 Table 1 (continued) Authors/ year Technology Description Objective Countries References Pramanik et al. (2017) Big Data e Smart Healthcare Evaluate Big Data technologies and intelligent systems focusing on state-of-the-art advanced health systems China [24] Costa et al. (2018) Mshali et al. (2018) Internet of Health Things (IoHT) Health Monitoring Systems (HMS) Big Data and Smart Healthcare systems independently attract great attention from the academia and industry and can streamline healthcare industry perspectives Intelligent monitoring of vital signs on hospital wings through IoT Provide timely electronic health services for individuals who wish to maintain their independence Brazil [7] France [25] Rahmani et al. (2018) Internet of Things (IoT) Describe the possibilities of IoT in the scope of vital signs monitoring by hospital wards Present a review of intelligent health monitoring and health care systems for individuals, especially for the elderly and dependent Explore the concept of Cloud Computing in Healthcare IoT systems, forming an intermediate layer of intelligence distributed geographically between the sensors and the cloud USA [26] Develop health solutions with smarter and predictive capabilities for both daily living (home/office) and hospitals using IoT and the strategic position of such gateways F. da Silveira et al. Analysis of Industry 4.0 Technologies Applied to the Health … 707 description of each technology to verify its function and, from the objective of this article, what they seek to improve in the hospitals and in the health topic in general. 4 Discussions According to Liang [18] there are other devices such as wearable ones that are developing widely and can be used to provide continuous medical care, such as monitoring of physiological parameters for health care through remote monitoring. These are wristwatches, bracelets, rings and smart haircuts that fit as ubiquitous products and use mobile networks (WIFI) and computer servers that are responsible for collecting health information detected by such products [18–20]. In addition, they process the data to properly monitor and diagnose integrity and allow social interactions with users, so that no errors result [20, 21]. For Costa [7], patient data are collected manually in hospitals from stand-alone medical devices, including vital signs. Such data are sometimes stored in electronic spreadsheets, not being part of patients’ electronic records, and therefore it is difficult for those in the hospital to combine and analyze. Thus, one solution to overcome these limitations is the interconnection of medical devices via the Internet using a distributed platform, IoT. This approach allows data from different sources to be combined to better diagnose the patient’s health status and identify possible anticipatory actions [7]. According to Elhoseny [5], the adoption of the CC and IoT paradigm in health can significantly improve health services and contribute to their continuous and systematic innovation in a Big Data environment as industry applications 4.0. However, the resources required to manage this data in a Cloud-IoT environment are still challenging. In addition, connectivity and the analysis of information are the major pillars of this future transformation. Connectivity because the patient will carry all his medical history with greater data security, which is allowed by the blockchain, the same that brought Bitcoin to life. And information analysis because an artificial intelligence makes it possible to process information much faster than a human being. This repetition of comparisons allows the evaluation between causalities to respond in a preventive way to a patient at risk. Understanding the variables that signal an increased patient risk is only possible with this intelligence at hand. 5 Conclusion The objective of this article was to present an analysis of industry 4.0 related to the health sector and their respective characteristics. As analyzed in the research, in the health sector, health technologies should be adopted that include the principles of industry 4.0 to improve data digitization, interconnectivity between machines and 708 F. da Silveira et al. commands, more efficient databases and, health. The main technologies identified in the literature and also in the interviews refer to the CC and IoT developed for hospitals, as they seek to support communication between devices and health services. In addition, the article contributed to health professionals seeking to better understand definitions and concepts related to health 4.0, also providing researchers and stakeholders with a study on the subject. The description of the results was focused and critical, structured, as far as possible, for the expansion of knowledge about industry 4.0, given its relevance and relevance in the health sector, which are necessary to perform the interconnection of hospitals, people and systems to provide real dynamics with optimized time and self-organized with respect to the patient’s condition. As future steps, it is suggested to carry out research that deepens the field of health knowledge 4.0, such as: (i) analyze how developed countries are developing the health value chain 4.0; (ii) verify how the development of products by Brazilian companies in the health sector should be in the coming years; (iii) conducting a case study in a hospital that covers all the characteristics of a 4.0 industry; and (iv) identify how smart hospitals are empowering employees, while increasing new technologies annually in the control of patient data. References 1. Kamble, S. 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