Innovation With Information Technologies In Healthcare
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Innovation with Information Technologies in Healthcare by Lyle Berkowitz,Chris McCarthy Pdf
This book provides an extensive review of what innovation means in healthcare, with real-life examples and guidance on how to successfully innovate with IT in healthcare.
National Research Council,Institute of Medicine,Division on Behavioral and Social Sciences and Education,Board on Health Sciences Policy,Forum on Aging, Disability, and Independence
Author : National Research Council,Institute of Medicine,Division on Behavioral and Social Sciences and Education,Board on Health Sciences Policy,Forum on Aging, Disability, and Independence Publisher : National Academies Press Page : 168 pages File Size : 40,9 Mb Release : 2015-08-04 Category : Medical ISBN : 9780309367561
The Future of Home Health Care by National Research Council,Institute of Medicine,Division on Behavioral and Social Sciences and Education,Board on Health Sciences Policy,Forum on Aging, Disability, and Independence Pdf
Individuals with disabilities, chronic conditions, and functional impairments need a range of services and supports to keep living independently. However, there often is not a strong link between medical care provided in the home and the necessary social services and supports for independent living. Home health agencies and others are rising to the challenges of meeting the needs and demands of these populations to stay at home by exploring alternative models of care and payment approaches, the best use of their workforces, and technologies that can enhance independent living. All of these challenges and opportunities lead to the consideration of how home health care fits into the future health care system overall. On September 30 and October 1, 2014, the Institute of Medicine and the National Research Council convened a public workshop on the future of home health care. The workshop brought together a spectrum of public and private stakeholders and thought leaders to improve understanding of the current role of Medicare home health care in supporting aging in place and in helping high-risk, chronically ill, and disabled Americans receive health care in their communities. Through presentations and discussion, participants explored the evolving role of Medicare home health care in caring for Americans in the future, including how to integrate Medicare home health care into new models for the delivery of care and the future health care marketplace. The workshop also considered the key policy reforms and investments in workforces, technologies, and research needed to leverage the value of home health care to support older Americans, and research priorities that can help clarify the value of home health care. This summary captures important points raised by the individual speakers and workshop participants.
Everyone talks innovation and we can all point to random examples of innovation inside of healthcare information technology, but few repeatable processes exist that make innovation more routine than happenstance. How do you create and sustain a culture of innovation? What are the best practices you can refine and embed as part of your organization’s DNA? What are the potential outcomes for robust healthcare transformation when we get this innovation mystery solved? Through timely essays from leading experts, the first edition showcased the widely adopted healthcare innovation model from HIMSS and how providers could leverage to increase their velocity of digital transformation. Regardless of its promise, innovation has been slow in healthcare. The second edition takes the critical lessons learned from the first edition, expands and refreshes the content as a result of changes in the industry and the world. For example, the pandemic really shifted things. Now providers are more ready and interested to innovate. In the past year alone, significant disruptors (such as access to digital health) have entered the provider space threatening the existence of many hospitals and practices. This has served as a giant wake-up call that healthcare has shifted. And finally, there is more emphasis today than before on the concept of patient and clinician experience. Perhaps hastened by the pandemic, the race is on for innovations that will help address clinician burnout while better engaging patients and families. Loaded with numerous case studies and stories of successful innovation projects, this book helps the reader understand how to leverage innovation to help fulfill the promise of healthcare information technology in enabling superior business and clinical outcomes.
Innovation in Health Informatics by Miltiadis Lytras,Akila Sarirete Pdf
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
Technology, Innovation and Healthcare by Bernadette J. Richards,Mark Taylor,Susannah Sage Jacobson Pdf
This timely book emphasizes the importance of regulation in enabling and channelling innovation at a time when technology is increasingly embedded in healthcare. It considers the adequacy of current regulatory approaches, identifying apparent gaps, risks and liabilities, and discusses how these might be collectively addressed. The authors present possible solutions that balance the protection and promotion of public trust in healthcare against enabling technological progress and disruptive innovation. Offering both a theoretical and practical approach to challenges at the intersection of healthcare, law and technology, this thought-provoking book explores broad questions of regulation and innovation before analysing contextual applications of these topics. It moves from a wide-ranging consideration of the polycentric and changing nature of health regulation through to a more specific examination of topics including patient consent, the role of device representatives, privacy, artificial intelligence and big data. Providing an international perspective, Technology, Innovation and Healthcare will be a valuable resource for scholars and students of health law, innovation, technology law, law and development and law and society. It will also be of benefit to lawyers, healthcare professionals, technology developers and policy makers, seeking to better integrate technology with healthcare.
Healthcare Technology Innovation Adoption by Tugrul U. Daim,Nima Behkami,Nuri Basoglu,Orhun M. Kök,Liliya Hogaboam Pdf
This book aims to study the factors effecting the adoption and diffusion of Health Information Technology (HIT) innovation. It analyses the adoption processes of various tools and applications, particularly Electronic Health Records (EHR), highlighting the impact on various sectors of the healthcare system, such as physicians, administration and patient care, while also identifying the various pitfalls and gaps in the literature. With the various challenges currently facing the United States healthcare system, the study, adoption and diffusion of healthcare technology innovation, particularly HIT, is imperative to achieving national goals. This book is organized into three sections. Section one reviews theories and applications for the diffusion of Health Care Technologies. Section two evaluates EHR technology, including the barriers and enables in adoption and alternative technologies. Finally, section three examines the factors impacting the adoption of EHR systems. This book will be a key source for students, academics, researchers, practitioners, professionals and policy-makers.
Healthcare Information Technology Innovation and Sustainability: Frontiers and Adoption by Tan, Joseph Pdf
Healthcare Information Technology Innovation and Sustainability: Frontiers and Adoption presents research in the emerging field on information systems and informatics in the healthcare industry. By addressing innovative concepts and critical issues through case studies and experimental research, this reference source is useful for practitioners, researchers and academics aiming to advance the knowledge and practice of these interdisciplinary fields of healthcare information.
Intelligent Decision Technologies by Junzo Watada,Gloria Phillips-Wren,Lakhmi C. Jain,Robert J. Howlett Pdf
Intelligent Decision Technologies (IDT) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. This volume represents leading research from the Third KES International Symposium on Intelligent Decision Technologies (KES IDT’11), hosted and organized by the University of Piraeus, Greece, in conjunction with KES International. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future.
Everyone talks innovation and we can all point to random examples of innovation inside of healthcare information technology, but few repeatable processes exist that make innovation more routine than happenstance. How do you create and sustain a culture of innovation? What are the best practices you can refine and embed as part of your organization's DNA? What are the potential outcomes for robust healthcare transformation when we get this innovation mystery solved? Through timely essays from leading experts, the first edition showcased the widely adopted healthcare innovation model from HIMSS and how providers could leverage to increase their velocity of digital transformation. Regardless of its promise, innovation has been slow in healthcare. The second edition takes the critical lessons learned from the first edition, expands and refreshes the content as a result of changes in the industry and the world. For example, the pandemic really shifted things. Now providers are more ready and interested to innovate. In the past year alone, significant disruptors (such as access to digital health) have entered the provider space threatening the existence of many hospitals and practices. This has served as a giant wake-up call that healthcare has shifted. And finally, there is more emphasis today than before on the concept of patient and clinician experience. Perhaps hastened by the pandemic, the race is on for innovations that will help address clinician burnout while better engaging patients and families. Loaded with numerous case studies and stories of successful innovation projects, this book helps the reader understand how to leverage innovation to help fulfill the promise of healthcare information technology in enabling superior business and clinical outcomes.
Author : Marion J. Ball Publisher : Springer Science & Business Media Page : 236 pages File Size : 54,5 Mb Release : 1999-06-03 Category : Medical ISBN : 9780387984421
Strategies and Technologies for Healthcare Information by Marion J. Ball Pdf
This book highlights innovative healthcare information technologies as they perform information integration throughout various health care settings. Contributors, representative of these settings, provide case studies citing active examples of technology systems at work, addressing critical success factors, documenting success in terms of improved quality and/or reduced cost. Each example will address the full range of issues associated with technological innovation in health care, from policy and clinical considerations, to business and operational issues.
Responsible Innovation in Digital Health by Tatiana Iakovleva,Elin M. Oftedal,John Bessant Pdf
Powerful new approaches and advances in medical systems drive increasingly high expectations for healthcare providers internationally. The form of digital healthcare – a suite of new technologies offering significant benefits in cost and quality – allow institutions to keep pace with society’s needs. This book covers the need for responsible innovation in this area, exploring the issues of implementation as well as potential negative consequences to ensure digital healthcare delivers for the benefit of all stakeholders.
Innovation in Medicine and Healthcare 2016 by Yen-Wei Chen,Satoshi Tanaka,Robert J. Howlett,Lakhmi C. Jain Pdf
This proceedings volume includes 32 papers, which present recent trends and innovations in medicine and healthcare including Innovative Technology in Mental Healthcare; Intelligent Decision Support Technologies and Systems in Healthcare; Biomedical Engineering, Trends, Research and Technologies; Advances in Data & Knowledge Management for Healthcare; Advanced ICT for Medical and Healthcare; Healthcare Support System; and Smart Medical and Healthcare System. Innovation in medicine and healthcare is an interdisciplinary research area, which combines the advanced technologies and problem solving skills with medical and biological science. A central theme of this proceedings is Smart Medical and Healthcare Systems (modern intelligent systems for medicine and healthcare), which can provide efficient and accurate solution to problems faced by healthcare and medical practitioners today by using advanced information communication techniques, computational intelligence, mathematics, robotics and other advanced technologies.
This book is the first to approach healthcare informatics from the perspective of innovation. Drawing on the unique pairing of information and innovation, it offers an analysis to help readers rethink information technology, knowledge management, interprofessional collaboration and the generation of wisdom in the context of healthcare. The concept of "translational" research stems from the medical and health sciences, and features bidirectional and recursive information-generation processes involving bed-to-bench and bench-to-bed approaches. Based partly on this, translational systems science has become a new trend within systems sciences, motivated by the need for practical applications that help people by offering holistic systems solutions for complex ideas. Today, numerous innovations are emerging in diversified clinical practices, and there has been a remarkable convergence of new technologies in disciplines like genome therapy, immunotherapy, iPS cells, imaging diagnosis, personalized medicine, molecular targeted drugs, surgical robots, and remote nursing. Innovation is also occurring in health management fields, including health records, insurance reimbursement methods, quality control, and safety. In these areas, big data and machine learning are accelerating innovation. Behind these innovations are the creation, sharing, bridging, and translation of data, information, knowledge, and wisdom, and as such health informatics is critical in promoting health innovations. The book explores the horizons of health informatics, introducing cutting-edge practical cases and theoretical frameworks, including but not limited to fields such as big data, machine learning, drug discovery, interprofessional collaboration, electronic health records, robotics, telenursing, quality improvement, and safety.
Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf
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
Opportunities and Challenges in Digital Healthcare Innovation by Sandhu, Kamaljeet Pdf
Digital health has faced obstacles from poor IT systems implementation to lack of consumer acceptance. Very little is known about the management, development, and design of digital health projects, the level of IT adoption, and the role of digital leadership that is needed to successfully drive health projects. Digital health, if successfully implemented, offers tremendous opportunities in health data analytics for consumers of health services and service providers that include health information portability, personalization of health information by consumers, easy access and usefulness of health information, and better management of electronic data records by health institutions and the government. Research suggests that despite assurances provided to consumers, digital information security and digital health innovation have been a challenge and are only slowly being accepted. Opportunities and Challenges in Digital Healthcare Innovation is an innovative research publication that identifies digital health innovation opportunities and obstacles and proposes frameworks and conceptual models for digital health innovation that empowers consumers of digital health to use the information to make informed decisions and choices. Highlighting topics such as data analytics, health regulations, and telehealth, this book is ideal for IT consultants, medical software developers, data scientists, hospital administrators, medical practitioners, policymakers, academicians, researchers, and students.