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Human Cancer Diagnosis and Detection Using Exascale Computing -

Human Cancer Diagnosis and Detection Using Exascale Computing (eBook)

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2024 | 1. Auflage
336 Seiten
Wiley (Verlag)
978-1-394-19768-2 (ISBN)
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Human Cancer Diagnosis and Detection Using Exascale Computing

The book provides an in-depth exploration of how high-performance computing, particularly exascale computing, can be used to revolutionize cancer diagnosis and detection; it also serves as a bridge between the worlds of computational science and clinical oncology.

Exascale computing has the potential to increase our ability in terms of computation to develop efficient methods for a better healthcare system. This technology promises to revolutionize cancer diagnosis and detection, ushering in an era of unprecedented precision, speed, and efficiency. The fusion of exascale computing with the field of oncology has the potential to redefine the boundaries of what is possible in the fight against cancer.

The book is a comprehensive exploration of this transformative unification of science, medicine, and technology. It delves deeply into the realm of exascale computing and its profound implications for cancer research and patient care. The 18 chapters are authored by experts from diverse fields who have dedicated their careers to pushing the boundaries of what is achievable in the realm of cancer diagnosis and detection. The chapters cover a wide range of topics, from the fundamentals of exascale computing and its application to cancer genomics to the development of advanced imaging techniques and machine learning algorithms. Explored is the integration of data analytics, artificial intelligence, and high-performance computing to move cancer research to the next phase and support the creation of novel medical tools and technology for the detection and diagnosis of cancer.

Audience

This book has a wide audience from both computer sciences (information technology, computer vision, artificial intelligence, software engineering, applied mathematics) and the medical field (biomedical engineering, bioinformatics, oncology). Researchers, practitioners and students will find this groundbreaking book novel and very useful.


Human Cancer Diagnosis and Detection Using Exascale Computing The book provides an in-depth exploration of how high-performance computing, particularly exascale computing, can be used to revolutionize cancer diagnosis and detection; it also serves as a bridge between the worlds of computational science and clinical oncology. Exascale computing has the potential to increase our ability in terms of computation to develop efficient methods for a better healthcare system. This technology promises to revolutionize cancer diagnosis and detection, ushering in an era of unprecedented precision, speed, and efficiency. The fusion of exascale computing with the field of oncology has the potential to redefine the boundaries of what is possible in the fight against cancer. The book is a comprehensive exploration of this transformative unification of science, medicine, and technology. It delves deeply into the realm of exascale computing and its profound implications for cancer research and patient care. The 18 chapters are authored by experts from diverse fields who have dedicated their careers to pushing the boundaries of what is achievable in the realm of cancer diagnosis and detection. The chapters cover a wide range of topics, from the fundamentals of exascale computing and its application to cancer genomics to the development of advanced imaging techniques and machine learning algorithms. Explored is the integration of data analytics, artificial intelligence, and high-performance computing to move cancer research to the next phase and support the creation of novel medical tools and technology for the detection and diagnosis of cancer. Audience This book has a wide audience from both computer sciences (information technology, computer vision, artificial intelligence, software engineering, applied mathematics) and the medical field (biomedical engineering, bioinformatics, oncology). Researchers, practitioners and students will find this groundbreaking book novel and very useful.

1
Evaluating the Impact of Healthcare 4.0 on the Performance of Hospitals


Pramod Kumar1, Nitu Maurya2, Keerthiraj3, Somanchi Hari Krishna4*, Geetha Manoharan5 and Anupama Bharti6

1Faculty of Commerce and Management, Assam Down Town University, Sankar Madhab Path, Gandhi Nagar, Panikhaiti, Guwahati, Assam, India

2Management, KCC Institute of Legal and Higher Education, Noida, India

3Political Science, School of Liberal Arts, Alliance University, Bengaluru, Karnataka, India

4Department of Business Management, Vignana Bharathi Institute of Technology, Aushapur Village Ghatkesar Mandal Malkangiri Medchal Dist, Telangana, India

5School of Business, SR University, Warangal, Telangana, India

6Department of Sociology and Social Work, Himachal Pradesh University, Shimla, India

Abstract


In this evaluation, we identify innovation packages and associated implementation barriers that might be considered to be part of Healthcare 4.0 (H4.0) and investigate their impact on performance enhancement in a sample hospital setting. In order to determine how to proceed, we conducted a cross-sectional review with 181 hospital directors from various nations who have already proactively begun implementing H4.0. Using multivariate statistical methods, the gathered data were examined. According to the findings, H4.0 technologies may be divided into two groups based on how they are used in hospitals. Using the sociotechnical systems theory, common hurdles to H4.0 adoption were empirically divided into two types. H4.0 technology bundles had a good and noticeable impact on how well hospitals performed. It is essential to continuously consider both H4.0 technologies and obstacles since their collaboration with H4.0 barriers adversely affected performance improvement. Our discoveries will help hospital management in expecting likely deterrents to the reception of H4.0, empowering more proactive endeavors to further develop performance and give superior grade, sensibly estimating healthcare in the age of the fourth modern unrest.

Keywords: Healthcare 4.0, hospital, technologies, performance of hospital, barriers

1.1 Introduction


Healthcare 4.0 addresses a significant change in the way healthcare frameworks are viewed. It draws inspiration from Industry 4.0, the fourth industrial revolution [1]. The fourth industrial revolution was propelled by globalization, increased seriousness, advances in information and communications technology (ICT), and market expansion [2]. Because of Industry 4.0, the association went through a computerized change. Steam power was the primary cause of the modern uprising, whereas power molded the second. The third modern upset began in the 1970s as a result of advancements in processing innovation. The fourth industrial revolution was sparked by advances in ICT technologies, which included fully computerized and clever manufacturing processes suitable for independent communication and control among many corporate levels of an association [24]. Industry 4.0 features include ongoing information exchange and flexible manufacturing as a result of vertical, horizontal, and end-to-end integration [5]. End-to-end integration is the automated management of a product over its entire life cycle. Vertical integration is the coordination of every authoritative action. Horizontal integration is the combination of all worthy chain parts. In a cycle that consolidates item-focused esteem creation, a progression of exercises is carefully connected together. Examples include analyzing customer needs, developing items, manufacturing them, offering services, maintaining them, and recycling them [3, 6]. According to the definition of Industry 4.0, “Industry 4.0 refers to the integration of Internet of Things (IoT) technologies into industrial value creation, enabling manufacturers to harness fully digitalized, connected, smart, and decentralised value chains, able to deliver greater flexibility and robustness to firm competitiveness and enable them to build flexible and adaptable business structures, [acquiring] the permanent ability for internal evolutionary developments in order to collaborate more effectively with other companies” [2, 7, 8].

Real-time healthcare customization is made possible by H4.0 [9], transforming organizations from hospital-centered to patient-centered ones where many departments collaborate effectively to enhance patient health [10]. Figure 1.1 shows the Changing healthcare systems from healthcare 1.0 to HealthCare 4.0. Hospital staff members can share and use intra- and interhospital services [11, 12] as well as hospital supporting procedures [13, 14] with ease thanks to H4.0. While incorporating new technologies into medical procedures may have a good short-term effect on hospitals’ outputs, the long-term effects of doing so may not be immediately obvious [58].

Figure 1.1 Changing healthcare systems [9].

The technologies that should be considered when implementing H4.0 and how they could interact to increase performance in healthcare frameworks are the subject of current research [15, 16]. Similar to this, agreement has not yet been achieved on how exactly H4.0 technologies affect hospitals’ performance [17]. The digital transformation of healthcare has produced a variety of outcomes [18], especially when one takes into account the role of obstacles brought about by financial and political interests, as well as requests from associations, affiliations, and lobbyists [14].

The phrase “Industry 4.0” was first used in Germany in 2011 as part of a strategic drive to use technology to transform. Our study is based on the sociotechnical systems theory [19], which holds that an organization develops through the right interaction of its social and technical elements, which enhances performance. Sociotechnical systems are a method for organizing complex organizational activity that takes into account how people and technology interact at work [20]. We propose to explore H4.0 taking into account both social and technological components crucial to its implementation, which could help endeavors to be connected to the reception of state of the digital technologies in healthcare organizations [59].

1.2 Literature Review


Since healthcare services are an intangible good, it is difficult to quantify them. It is likewise hard to assess the nature of healthcare services as a result of qualities including immaterialness, heterogeneity, and concurrence [21]. SERVQUAL is one of the most often used metrics for evaluating the quality of healthcare services. Reliability, certainty, tangibles, empathy, and responsiveness are some of its dimensions. This model, in any case, has a disadvantage in that it was created for a general help environment and should be contextualized for the utilization environment [22]. Although there have been numerous studies to gauge the quality of healthcare services [23, 24], Dagger, Sweeney, and Johnson’s model is one of the most widely used. The term “interpersonal quality” refers to the relationships and dyadic communication that have grown between the patient and the consideration supply. It is largely influenced by behavior, communication, and relationships. The expression “relationship” alludes to the degree and nature of the bond that has been laid out between a specialist organization and a customer, whereas the terms “manner” and “communication” describe the information exchanged between a provider and a customer, as well as their level of interaction and two-way communication, respectively [25]. The technical quality includes two aspects. The first and second dimensions are, respectively, the output obtained and the service provider’s technical expertise. Technical competency is determined by the knowledge, experience, credentials, or skill of the provider. The service outcome gives an account of how the service procedure went [60], arising from contacts with a service provider throughout a single or series of service encounters [25, 26].

ICT has been utilized all the more every now and then to help the viability, effectiveness, and quality of healthcare systems [27]. The phrase “Healthcare 4.0” refers to a number of integrated ICT, electronics, and microstructure developments that take into account more effective restorative plans and support functions [28]. The availability of less expensive ICTs that can diagnose problems and offer quick findings and remedies, the shrinking size of ICTs, and improved capacities for data acquisition and management are only a few reasons why ICT usage may be increasing [29]. Healthcare 4.0 is reportedly a transition of healthcare systems [30]. ICT is used in both the hospital’s administrative and medical practices [28]. Lower costs, remote sensor networks for further developed straightforwardness, electronic wellbeing record frameworks, portable wellbeing applications, further developed finding and patient consideration rehearsals [61], support for customized medication possibilities, more limited pausing and lead times, empowering cooperative healthcare, and better help for training and education are only a couple of the advantages of ICT use in healthcare frameworks [25]....

Erscheint lt. Verlag 21.2.2024
Sprache englisch
Themenwelt Medizin / Pharmazie Allgemeines / Lexika
Medizin / Pharmazie Medizinische Fachgebiete Onkologie
ISBN-10 1-394-19768-3 / 1394197683
ISBN-13 978-1-394-19768-2 / 9781394197682
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