Healthcare Transformation With Informatics And Artificial Intelligence

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Healthcare Transformation with Informatics and Artificial Intelligence

Author : J. Mantas
Publisher : IOS Press
ISBN 13 : 1643684019
Total Pages : 700 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Healthcare Transformation with Informatics and Artificial Intelligence by : J. Mantas

Download or read book Healthcare Transformation with Informatics and Artificial Intelligence written by J. Mantas and published by IOS Press. This book was released on 2023-07-27 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is once again in the news, with many major figures urging caution as developments in the technology accelerate. AI impacts all aspects of our lives, but perhaps the discipline of Biomedical Informatics is more affected than most, and is an area where the possible pitfalls of the technology might have particularly serious consequences. This book presents the papers delivered at ICIMTH 2023, the 21st International Conference on Informatics, Management, and Technology in Healthcare, held in Athens, Greece, from 1-3 July 2023. The ICIMTH conferences form a series of scientific events which offers a platform for scientists working in the field of biomedical and health informatics from all continents to gather and exchange research findings and experience. The title of the 2023 conference was Healthcare Transformation with Informatics and Artificial Intelligence, reflecting the importance of AI to healthcare informatics. A total of 252 submissions were received by the Program Committee, of which 149 were accepted as full papers, 13 as short communications, and 14 as poster papers after review. The papers cover a wide range of technologies, and topics include imaging, sensors, biomedical equipment, and management and organizational aspects, as well as legal and social issues. The book provides a timely overview of informatics and technology in healthcare during this time of extremely fast developments, and will be of interest to all those working in the field.

Demystifying Big Data and Machine Learning for Healthcare

Author : Prashant Natarajan
Publisher : CRC Press
ISBN 13 : 1315389304
Total Pages : 233 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Demystifying Big Data and Machine Learning for Healthcare by : Prashant Natarajan

Download or read book Demystifying Big Data and Machine Learning for Healthcare written by Prashant Natarajan and published by CRC Press. This book was released on 2017-02-15 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Demystifying Big Data and Machine Learning for Healthcare

Author : Prashant Natarajan
Publisher : CRC Press
ISBN 13 : 9781315389325
Total Pages : 210 pages
Book Rating : 4.3/5 (893 download)

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Book Synopsis Demystifying Big Data and Machine Learning for Healthcare by : Prashant Natarajan

Download or read book Demystifying Big Data and Machine Learning for Healthcare written by Prashant Natarajan and published by CRC Press. This book was released on 2017 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare transformation requires us to continually look at new and better ways to manage insights - both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization's day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcareinvestigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V's that matter in healthcare and why Harmonize the 4 C's across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Informatics Empowers Healthcare Transformation

Author : J. Mantas
Publisher : IOS Press
ISBN 13 : 1614997810
Total Pages : 304 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Informatics Empowers Healthcare Transformation by : J. Mantas

Download or read book Informatics Empowers Healthcare Transformation written by J. Mantas and published by IOS Press. This book was released on 2017-08-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Informatics is now indispensible in modern healthcare, and the field covers a very broad spectrum of research and application outcomes, ranging from cell to population, and including a number of technologies such as imaging, sensors, and biomedical equipment, as well as management and organizational subjects. This book presents 65 full papers and two keynote speeches from the 2017 edition of the International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2017), held in Athens, Greece in July 2017. The papers are grouped in three chapters, and cover a wide range of topics, reflecting the current scope of Biomedical Informatics. In essence, Biomedical Informatics empowers the transformation of healthcare, and the book will be of interest to researchers, providers and healthcare practitioners alike.

Artificial Intelligence for Innovative Healthcare Informatics

Author : Shabir Ahmad Parah
Publisher : Springer Nature
ISBN 13 : 3030965694
Total Pages : 320 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Artificial Intelligence for Innovative Healthcare Informatics by : Shabir Ahmad Parah

Download or read book Artificial Intelligence for Innovative Healthcare Informatics written by Shabir Ahmad Parah and published by Springer Nature. This book was released on 2022-05-23 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are several popular books published in Healthcare Computational Informatics like Computational Bioengineering and Bioinformatics (2020), Springer; Health Informatics (2017), Springer; Health Informatics Vision: From Data via Information to Knowledge (2019), IOS Press; Data Analytics in Biomedical Engineering and Healthcare (2020), Elsevier. However, in all these mentioned books, the challenges in Biomedical Imaging are solved in one dimension by use of any specific technology like Image Processing, Machine Learning or Computer Aided Systems. In this book, the book it has been attempted to bring all technologies related to computational analytics together and apply them on Biomedical Imaging.

AI-First Healthcare

Author : Kerrie L. Holley
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492063126
Total Pages : 222 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis AI-First Healthcare by : Kerrie L. Holley

Download or read book AI-First Healthcare written by Kerrie L. Holley and published by "O'Reilly Media, Inc.". This book was released on 2021-04-19 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a roadmap, and the confidence to support AIin their organizations—without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible Using various AI technologies to go beyond precision medicine How to deliver patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and how to identify high-priority AI application

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Computational Intelligence and Healthcare Informatics

Author : Om Prakash Jena
Publisher : John Wiley & Sons
ISBN 13 : 1119818680
Total Pages : 434 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Computational Intelligence and Healthcare Informatics by : Om Prakash Jena

Download or read book Computational Intelligence and Healthcare Informatics written by Om Prakash Jena and published by John Wiley & Sons. This book was released on 2021-10-19 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.

Integrating Artificial Intelligence and IoT for Advanced Health Informatics

Author : Carmela Comito
Publisher : Springer Nature
ISBN 13 : 3030911810
Total Pages : 188 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Integrating Artificial Intelligence and IoT for Advanced Health Informatics by : Carmela Comito

Download or read book Integrating Artificial Intelligence and IoT for Advanced Health Informatics written by Carmela Comito and published by Springer Nature. This book was released on 2022-02-10 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.

Next Generation Healthcare Informatics

Author : B. K. Tripathy
Publisher : Springer Nature
ISBN 13 : 9811924163
Total Pages : 320 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Next Generation Healthcare Informatics by : B. K. Tripathy

Download or read book Next Generation Healthcare Informatics written by B. K. Tripathy and published by Springer Nature. This book was released on 2022-06-06 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.

Translational Application of Artificial Intelligence in Healthcare

Author : Sandeep Reddy
Publisher : CRC Press
ISBN 13 : 1003816207
Total Pages : 182 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Translational Application of Artificial Intelligence in Healthcare by : Sandeep Reddy

Download or read book Translational Application of Artificial Intelligence in Healthcare written by Sandeep Reddy and published by CRC Press. This book was released on 2023-12-11 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of 'Algorithmic Medicine', the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry. Drawing upon the expertise and experience of the authors in medicine, data science, medical informatics, administration, and entrepreneurship, this textbook goes beyond theoretical discussions to outline practical steps for transitioning AI from the experimental phase to real-time clinical integration. Using the Translational Science methodology, each chapter of the book concisely and clearly addresses the key issues associated with AI implementation in healthcare. Covering technical, clinical, ethical, regulatory, and legal considerations, the authors present evidence-based solutions and frameworks to overcome these challenges. Engaging case studies and a literature review of peer-reviewed studies and official documents from reputed organizations provide a balanced perspective, bridging the gap between AI research and actual clinical practice.

Healthcare Informatics

Author : Stephan P. Kudyba
Publisher : CRC Press
ISBN 13 : 1000330354
Total Pages : 253 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Healthcare Informatics by : Stephan P. Kudyba

Download or read book Healthcare Informatics written by Stephan P. Kudyba and published by CRC Press. This book was released on 2021-01-27 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book addresses how health apps, in-home measurement devices, telemedicine, data mining, and artificial intelligence and smart medical algorithms are all enabled by the transition to a digital health infrastructure.....it provides a comprehensive background with which to understand what is happening in healthcare informatics and why."—C. William Hanson, III, MD, Chief Medical Information Officer and Vice President, University of Pennsylvania Health System. "This book is dedicated to the frontline healthcare workers, who through their courage and honor to their profession, helped maintain a reliable service to the population at large, during a chaotic time. These individuals withstood fear and engaged massive uncertainty and risk to perform their duties of providing care to those in need at a time of crisis. May the world never forget the COVID-19 pandemic and the courage of our healthcare workers".—Stephan P. Kudyba, Author Healthcare Informatics: Evolving Strategies in the Digital Era focuses on the services, technologies, and processes that are evolving in the healthcare industry. It begins with an introduction to the factors that are driving the digital age as it relates to the healthcare sector and then covers strategic topics such as risk management, project management, and knowledge management that are essential for successful digital initiatives. It delves into facets of the digital economy and how healthcare is adapting to the geographic, demographic, and physical needs of the population and highlights the emergence and importance of apps and telehealth. It also provides a high-level approach to managing pandemics by applying the various elements of the digital ecosystem. The book covers such technologies as: Computerized physician order entry (CPOE) Clinical Information Systems Alerting systems and medical sensors Electronic healthcare records (EHRs) Mobile healthcare and telehealth. Apps Business Intelligence and Decision Support Analytics Digital outreach to the population Artificial Intelligence The book then closes the loop on the efficiency enhancing process with a focus on utilizing analytics for problem solving for a variety of healthcare processes including the pharmaceutical sector. Finally, the book ends with current and futuristic views on evolving applications of AI throughout the industry.

Innovation in Health Informatics

Author : Miltiadis Lytras
Publisher : Academic Press
ISBN 13 : 0128190442
Total Pages : 441 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Innovation in Health Informatics by : Miltiadis Lytras

Download or read book Innovation in Health Informatics written by Miltiadis Lytras and published by Academic Press. This book was released on 2019-11-13 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare. This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics. Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies Presents a case study driven approach, with references to real-world applications and systems Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers

Transformation in Healthcare with Emerging Technologies

Author : Pushpa Singh
Publisher : CRC Press
ISBN 13 : 1000554074
Total Pages : 370 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Transformation in Healthcare with Emerging Technologies by : Pushpa Singh

Download or read book Transformation in Healthcare with Emerging Technologies written by Pushpa Singh and published by CRC Press. This book was released on 2022-04-27 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book, Transformation in Healthcare with Emerging Technologies, presents healthcare industrial revolution based on service aggregation and virtualisation that can transform the healthcare sector with the aid of technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Bigdata and Blockchain. These technologies offer fast communication between doctors and patients, protected transactions, safe data storage and analysis, immutable data records, transparent data flow service, transaction validation process, and secure data exchanges between organizations. Features: • Discusses the Integration of AI, IoT, big data and blockchain in healthcare industry • Highlights the security and privacy aspect of AI, IoT, big data and blockchain in healthcare industry • Talks about challenges and issues of AI, IoT, big data and blockchain in healthcare industry • Includes several case studies It is primarily aimed at graduates and researchers in computer science and IT who are doing collaborative research with the medical industry. Industry professionals will also find it useful.

Deep Learning in Biomedical and Health Informatics

Author : M. A. Jabbar
Publisher : CRC Press
ISBN 13 : 1000429083
Total Pages : 224 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Deep Learning in Biomedical and Health Informatics by : M. A. Jabbar

Download or read book Deep Learning in Biomedical and Health Informatics written by M. A. Jabbar and published by CRC Press. This book was released on 2021-09-26 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research applying deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing, and highlights various challenges in applying deep learning in health care. This book also includes applications and case studies across all areas of AI in healthcare data. The editors also aim to provide new theories, techniques, developments, and applications of deep learning, and to solve emerging problems in healthcare and other domains. This book is intended for computer scientists, biomedical engineers, and healthcare professionals researching and developing deep learning techniques. In short, the volume : Discusses the relationship between AI and healthcare, and how AI is changing the health care industry. Considers uses of deep learning in diagnosis and prediction of disease spread. Presents a comprehensive review of research applying deep learning in health informatics across multiple fields. Highlights challenges in applying deep learning in the field. Promotes research in ddeep llearning application in understanding the biomedical process. Dr.. M.A. Jabbar is a professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India. Prof. (Dr.) Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA. Dr.. Onur Dogan is an assistant professor at İzmir Bakırçay University, Turkey. Prof. Dr. Ana Madureira is the Director of The Interdisciplinary Studies Research Center at Instituto Superior de Engenharia do Porto (ISEP), Portugal. Dr.. Sanju Tiwari is a senior researcher at Universidad Autonoma de Tamaulipas, Mexico.

AI in Health

Author : Tom Lawry
Publisher : CRC Press
ISBN 13 : 1000036324
Total Pages : 198 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis AI in Health by : Tom Lawry

Download or read book AI in Health written by Tom Lawry and published by CRC Press. This book was released on 2020-02-05 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the Cloud, this shift is already transforming the way health and medical services are provided. As the industry transitions from static digital repositories to intelligent systems, there will be winners and losers in the race to innovate and automate the provision of services. Critical to success will be the role leaders play in shaping the use of AI to be less "artificial" and more "intelligent" in support of improving processes to deliver care and keep people healthy and productive across all care settings. This book defines key technical, process, people, and ethical issues that need to be understood and addressed in successfully planning and executing an enterprise-wide AI plan. It provides clinical and business leaders with a framework for moving organizations from the aspiration to execution of intelligent systems to improve clinical, operational, and financial performance.

Digital Transformation in Healthcare 5.0

Author : Rishabha Malviya
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3111399117
Total Pages : 480 pages
Book Rating : 4.1/5 (113 download)

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Book Synopsis Digital Transformation in Healthcare 5.0 by : Rishabha Malviya

Download or read book Digital Transformation in Healthcare 5.0 written by Rishabha Malviya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-05-20 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book "Digital Transformation in Healthcare 5.0: Metaverse, Nanorobots, and Machine Learning" is a comprehensive discussion of disruptive technologies and their applications in healthcare. The book starts with an overview of blockchain technology's impact on the healthcare sector, emphasizing its potential to improve data security and interoperability. The book also discusses the Metaverse's role in healthcare transformation, utilizing a blockchain method to improve patient care and medical practices. The book also focuses on the interrelationships of Blockchain-Enabled Metaverse Healthcare Systems and Applications, highlighting innovative strategies. It also introduces an Intraocular Pressure Monitoring System for Glaucoma Patients, demonstrating the integration of IoT and Machine Learning for improved care. The book winds up with a Machine Learning Approach to Voice Analysis in Parkinson's disease Diagnosis, demonstrating the potential of voice analysis as a non-invasive diagnostic tool.