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Expert review of how the antiquated United States healthcare system is transforming The Coming Healthcare Revolution: The 10 Forces that Will Cure America's Health Crisis identifies and describes five top-down macro forces and five bottom-up market forces that have sufficient strength to transform the U.S. healthcare industry from the outside-in. The powerful macro forces are demographic determinants, funding fatigue, chronic pandemics, technological imperatives, and pro-consumer/market reforms. The equally powerful market forces are whole health, care redesign, care migration, aggregators' advantage, and empowered caregivers. Written by David Johnson and Paul Kusserow, professional healthcare advisors operating at the intersection of healthcare economics, policy, strategy, and capital formation, this book provides expert insight on how the U.S. healthcare system is becoming cheaper, better, more balanced between prevention and treatment, easier to access, and more empowering for both frontline caregivers and consumers. In this book, readers will learn about: Factors leading to rising healthcare costs, including an aging population, perverse economic incentives, armies of middlemen, and expensive breakthrough therapies U.S. healthcare in comparison to other high-income countries—twice as expensive per-capita, and inferior in terms of health status metrics Similarities between the U.S. automobile industry crisis in the 1980s and today's adapt-or-die situation for healthcare providers and suppliers How the healthcare industry is reorganizing to decentralize delivery of whole-person health in ways that will improve health outcomes and overall societal health The Coming Healthcare Revolution is a must-read for professionals and organizations seeking to understand and react to the paradigm-shifting forces revolutionizing the healthcare ecosystem.
The healthcare system is experiencing unprecedented challenges and opportunities that will revolutionize the sector. The rising demand for health services and the resources restrictions have put increased pressure on healthcare organizations to improve cost-efficiency and service offerings. The pandemic has further exacerbated the main pressure points of the healthcare sector. Currently, the shift towards patient centricity is gaining momentum, therefore there is a need to rethink how health systems can embrace this concept, in particular with digitization, service innovation and value co-creation. Focusing on digital healthcare, this book proposes a theoretical framework, along with managerial implications, on moving towards a patient-centric model. It explores the role of digitization and innovation in solving existing challenges in the sector, and includes the concept of 'One Digital Health', which refers to global health and transformation and recognizes the importance of the connection between humans, animals, nature and the interrelation of different health systems. With clear implications to Sustainable Development Goal 3: ‘Ensure healthy lives and promote wellbeing for all at all ages,’ the authors argue that innovative transformation in the sector can support the Agenda 2030.
The goal of this book is to provide, in a friendly and refreshing manner, both theoretical concepts and practical techniques for the important and exciting field of Artificial Intelligence that can be directly applied to real-world healthcare problems. Healthcare – the final frontier. Lately, it seems like Pandora opened the box and evil was released into the world. Fortunately, there was one thing left in the box: hope. In recent decades, hope has been increasingly represented by Intelligent Decision Support Systems. Their continuing mission: to explore strange new diseases, to seek out new treatments and drugs, and to intelligently manage healthcare resources and patients. Hence, this book is designed for all those who wish to learn how to explore, analyze and find new solutions for the most challenging domain of all time: healthcare.
The healthcare Genie is out of the bottle. Obamacare, the Patient Protection and Affordable Care Act will impact every one of you. These changes will come slowly and inexorably, but regardless of who is in power, you need to be prepared. It will be more important than ever to take control of your health. You are the boss; the decisions are yours. You must question and question again. The best result comes from collaboration between a patient and physician who, working as a team, reach a final well-researched decision. There is nothing more important than an educated patient or patient's advocate to navigate through the complicated hills and valleys of healthcare laden with unsuspected booby traps. Education is the key. This book, a combination of four of my Slim Book of Health Pearls series, describes: the pervasive problem of medical errors and how you can play a part in their prevention; the components and importance of a complete medical history and physical examination; the importance of risk factor analysis and health screening; and the critical importance of never delaying the evaluation of an unexplained symptom. Be prepared!
The Healthcare sector is evolving with Healthcare 5.0, promising better patient care and efficiency. However, challenges like data security and analysis arise due to increased digitization. Federated Learning and AI for Healthcare 5.0 offers solutions, explaining cloud computing's role in managing data and advocating for security measures. It explores federated learning's use in maintaining data privacy during analysis, presenting practical cases for implementation. The book also addresses emerging tech like quantum computing and blockchain-based services, envisioning an innovative Healthcare 5.0. It empowers healthcare professionals, IT experts, and data scientists to leverage these technologies for improved patient care and system efficiency, making Healthcare 5.0 secure and patient centric.
Products and services based on advanced technologies such as artificial intelligence and blockchain are normally considered to be for rich consumers in advanced countries. Fourth Revolution and the Bottom Four Billion demonstrates how marginalized and vulnerable groups with limited resources can also benefit from these technologies. Nir Kshetri suggests that the falling costs and the increased ease of developing and deploying applications based on these technologies are making them more accessible. He illustrates how key emerging technologies are transforming major industries and application areas such as healthcare and pandemic preparedness, agriculture, finance, banking, and insurance. The book also looks at how these transformations are affecting the lives of low-income people in low- and middle-income countries and highlights the areas needing regulatory attention to adequately protect marginalized and vulnerable groups from the abuse and misuse of these technologies. Kshetri discusses how various barriers such as the lack of data, low resource languages, underdeveloped technology infrastructures, lack of computing power and shortage of skill and talent have hindered the adoption of these technologies among marginalized and vulnerable groups. Fourth Revolution and the Bottom Four Billion suggests that it is the responsibility of diverse stakeholders—governments, NGOs, international development organizations, academic institutions, the private sector, and others—to ensure that marginal groups also benefit from these transformative innovations.
Alright, grab a cup of coffee and get ready to dive into the most exciting revolution since the dawn of medicine – the Health Tech Revolution! This isn't your grandma's healthcare; this is where biology meets cutting-edge technology to create a future where you're not just a patient, but an active participant in your own well-being. Ever wish your healthcare was as unique as you are? In Chapter 1, we'll explore personalized medicine, where treatments are tailored to your specific genetic makeup and lifestyle. Forget one-size-fits-all; it's all about you. Ever dream of regenerating damaged organs or tissues? That's not just for lizards! Chapter 4 explores the incredible world of regenerative medicine, where scientists are working to rebuild and rejuvenate our bodies. Did you know that tiny things can have a huge impact? In Chapter 5, we'll delve into nanotechnology in medicine, where particles smaller than you can imagine are delivering drugs, detecting diseases, and even repairing cells. What if your body could communicate with electronic devices? That's the idea behind bioelectronics, which we'll explore in Chapter 6. This is where the boundaries between biology and technology blur, opening up incredible possibilities for treating diseases and monitoring our health. Tired of waiting rooms and doctor's appointments? Chapter 7 is all about telemedicine and digital health, where healthcare comes to you, wherever you are. It's convenient, accessible, and it's changing the way we think about doctor visits. So, are you ready for a wild ride into the future of healthcare? "Health Tech Revolution" is your all-access pass to the most cutting-edge innovations that are transforming the way we think about medicine. It's not just about treating diseases; it's about empowering you to live a healthier, longer, and more fulfilling life. Get ready to be amazed, inspired, and maybe even a little bit mind-blown!
Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable. Key Features: The book offers comprehensive coverage of the most essential topics, including: Big Data Analytics, Applications & Challenges in Healthcare Descriptive, Predictive and Prescriptive Analytics in Healthcare Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.
The Fifth Edition provides graduate and pre-professional students with a comprehensive, detailed overview of the numerous facets of the modern healthcare system, focusing on functions and operations at both the corporate and hospital level. The Fifth Edition of this authoritative text comprises several new subjects, including new chapters on patient safety and ambulatory care center design and planning. Other updated topics include healthcare information systems, management of nursing systems, labor and employment law, and financial management, as well discussions on current healthcare policy in the United States. The Fifth Edition continues to be one of the most effective teaching texts in the field, addressing operational, technical and organizational matters along with the day-to-day responsibilities of hospital administrators. Broad in scope, this essential text has now evolved to offer the most up-to-date, comprehensive treatment of the organizational functions of today's complex and ever-changing healthcare delivery system.
Business intelligence supports managers in enterprises to make informed business decisions in various levels and domains such as in healthcare. These technologies can handle large structured and unstructured data (big data) in the healthcare industry. Because of the complex nature of healthcare data and the significant impact of healthcare data analysis, it is important to understand both the theories and practices of business intelligence in healthcare. Theory and Practice of Business Intelligence in Healthcare is a collection of innovative research that introduces data mining, modeling, and analytic techniques to health and healthcare data; articulates the value of big volumes of data to health and healthcare; evaluates business intelligence tools; and explores business intelligence use and applications in healthcare. While highlighting topics including digital health, operations intelligence, and patient empowerment, this book is ideally designed for healthcare professionals, IT consultants, hospital directors, data management staff, data analysts, hospital administrators, executives, managers, academicians, students, and researchers seeking current research on the digitization of health records and health systems integration.