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Improving Security, Privacy, and Connectivity Among Telemedicine Platforms

2024-03-27 Medical
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Release : 2024-03-27
Genre : Medical
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Book Synopsis Improving Security, Privacy, and Connectivity Among Telemedicine Platforms by : Geada, Nuno

Download or read book Improving Security, Privacy, and Connectivity Among Telemedicine Platforms written by Geada, Nuno. This book was released on 2024-03-27. Available in PDF, EPUB and Kindle. Book excerpt: The digital transformation of the health sector consistently presents unique challenges. As technologies like artificial intelligence, big data, and telemedicine rapidly evolve, healthcare systems need to keep up with advancements and data protection. This rapid evolution, compounded by the complexities of managing patient data and ensuring cybersecurity, creates a daunting task for healthcare providers and policymakers. The COVID-19 pandemic has also highlighted the urgent need for digital solutions, amplifying the pressure on an already strained sector. Improving Security, Privacy, and Connectivity Among Telemedicine Platforms is a comprehensive guide to navigating the digital revolution in healthcare. It offers insights into identifying vital digital technologies and understanding their impact on the Health Value Chain. Through an analysis of empirical evidence, this book provides a roadmap for effectively managing change, transition, and digital value creation in healthcare. With a focus on business sustainability, change management, and cybersecurity, it equips scholars, researchers, and practitioners with the tools needed to thrive in a rapidly evolving digital landscape.

Biomedical Research Developments for Improved Healthcare

2024-03-04 Computers
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Release : 2024-03-04
Genre : Computers
Kind : eBook
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Book Synopsis Biomedical Research Developments for Improved Healthcare by : Prabhakar, Pranav Kumar

Download or read book Biomedical Research Developments for Improved Healthcare written by Prabhakar, Pranav Kumar. This book was released on 2024-03-04. Available in PDF, EPUB and Kindle. Book excerpt: A chasm grows between the currently established knowledge and the rapidly evolving landscape of healthcare. As the field of biomedical research hurtles forward with groundbreaking discoveries and transformative technologies, academic scholars find themselves grappling with a significant dilemma. There exists a disconnect between traditional educational resources and the need to keep pace with the latest innovations that are reshaping medicine, diagnosis, and treatment. This widening gap inhibits scholars from adequately preparing their students and hampers their ability to engage in relevant, cutting-edge research, ultimately impeding the advancement of healthcare as a whole. Biomedical Research Developments for Improved Healthcare serves as the ultimate solution to this academic challenge. This book offers a compelling bridge between the realm of academic theory and the dynamic world of practical, real-world biomedical research. Its primary objective is to equip scholars with the knowledge, insights, and materials needed to inspire the next generation of healthcare professionals. By presenting a comprehensive overview of the most recent and groundbreaking advancements in biomedical research, the book enables scholars to transcend the limitations of traditional academia and empower their students with up-to-date, practical knowledge.

Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems

2024-08-05 Medical
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Release : 2024-08-05
Genre : Medical
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Book Synopsis Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems by : Liu, Haipeng

Download or read book Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems written by Liu, Haipeng. This book was released on 2024-08-05. Available in PDF, EPUB and Kindle. Book excerpt: As the demand for advanced technologies to revolutionize patient care intensifies, the medical industry faces a pressing need to confront challenges hindering the assimilation of AI-enhanced healthcare systems. Issues such as data interoperability, ethical considerations, and the translation of AI advancements into practical clinical applications pose formidable hurdles that demand immediate attention. It is within this context of challenges and opportunities that the book, Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems promises to pave the way for a transformative era in healthcare. The book serves as a comprehensive guide for academic scholars, researchers, and healthcare professionals navigating the dynamic landscape of data-driven, AI-enhanced healthcare. By showcasing the latest advancements, the book empowers its readers to not only comprehend the existing frontiers in data sciences and healthcare technologies but also to actively contribute to overcoming obstacles. Through detailed case studies and practical guidance, the publication equips its audience with the skills necessary to implement AI in various clinical settings.

Change Dynamics in Healthcare, Technological Innovations, and Complex Scenarios

2024-02-26 Medical
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Release : 2024-02-26
Genre : Medical
Kind : eBook
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Book Synopsis Change Dynamics in Healthcare, Technological Innovations, and Complex Scenarios by : Burrell, Darrell Norman

Download or read book Change Dynamics in Healthcare, Technological Innovations, and Complex Scenarios written by Burrell, Darrell Norman. This book was released on 2024-02-26. Available in PDF, EPUB and Kindle. Book excerpt: In a world characterized by complexity and rapid change, the intersection of healthcare, social sciences, and technology presents a formidable challenge. The vast array of interconnected issues, ethical dilemmas, and technological advancements often evade comprehensive understanding within individual disciplines. The problem lies in the siloed approach to these critical domains, hindering our ability to navigate the complexities of our modern world effectively. Change Dynamics in Healthcare, Technological Innovations, and Complex Scenarios emerges as a transformative solution, offering a beacon of insight and knowledge to those grappling with the intricate dynamics of our interconnected society. Change Dynamics in Healthcare, Technological Innovations, and Complex Scenarios dives into organizational narratives, ethical challenges, and technological promises across healthcare, social sciences, and technology. It doesn't merely acknowledge the interplay between these disciplines; it celebrates their interconnectedness. By dissecting, analyzing, and synthesizing critical developments, this book serves as a compass, providing a rich resource for comprehending the multifaceted impacts of emerging changes.

Green AI-Powered Intelligent Systems for Disease Prognosis

2024-08-23 Medical
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Release : 2024-08-23
Genre : Medical
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Book Synopsis Green AI-Powered Intelligent Systems for Disease Prognosis by : Khanna, Ashish

Download or read book Green AI-Powered Intelligent Systems for Disease Prognosis written by Khanna, Ashish. This book was released on 2024-08-23. Available in PDF, EPUB and Kindle. Book excerpt: Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage.

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