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Author: Paul Cerrato
Publisher: Taylor & Francis
ISBN: 1000055558
Category : Business & Economics
Languages : en
Pages : 164
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Book Description
This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it’s forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.
Author: Paul Cerrato
Publisher: Taylor & Francis
ISBN: 1000055558
Category : Business & Economics
Languages : en
Pages : 164
Get Book Here
Book Description
This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it’s forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.
Author: Pieter Kubben
Publisher: Springer
ISBN: 3319997130
Category : Medical
Languages : en
Pages : 218
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Book Description
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Author: Robert Greenes
Publisher: Academic Press
ISBN: 0323995772
Category : Computers
Languages : en
Pages : 880
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Book Description
Clinical Decision Support and Beyond: Progress and Opportunities in Knowledge-Enhanced Health and Healthcare, now in its third edition, discusses the underpinnings of effective, reliable, and easy-to-use clinical decision support systems at the point of care as a productive way of managing the flood of data, knowledge, and misinformation when providing patient care. Incorporating CDS into electronic health record systems has been underway for decades; however its complexities, costs, and user resistance have lagged its potential. Thus it is of utmost importance to understand the process in detail, to take full advantage of its capabilities. The book expands and updates the content of the previous edition, and discusses topics such as integration of CDS into workflow, context-driven anticipation of needs for CDS, new forms of CDS derived from data analytics, precision medicine, population health, integration of personal monitoring, and patient-facing CDS. In addition, it discusses population health management, public health CDS and CDS to help reduce health disparities. It is a valuable resource for clinicians, practitioners, students and members of medical and biomedical fields who are interested to learn more about the potential of clinical decision support to improve health and wellness and the quality of health care. Presents an overview and details of the current state of the art and usefulness of clinical decision support, and how to utilize these capabilities Explores the technological underpinnings for developing, managing, and sharing knowledge resources and deploying them as CDS or for other uses Discusses the current drivers and opportunities that are expanding the prospects for use of knowledge to enhance health and healthcare
Author: B. Pfeifer
Publisher: IOS Press
ISBN: 164368387X
Category : Medical
Languages : en
Pages : 280
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Book Description
Digital technologies have become an integral part of all our lives, and the area of healthcare is no exception. This book presents the proceedings of the 17th annual conference on Health Informatics meets Digital Health (dHealth 2023), held in Vienna, Austria, on 16 and 17 May 2023. The conference series provides a forum for researchers and decision makers, health professionals, healthcare providers, and government and industry representatives to present and discuss innovative digital-health solutions with the aim of improving the quality and efficiency of healthcare using digital technologies. The ‘d’ in dHealth encompasses concepts such as digitalization, datafication and data-driven decision making, as well as predictive modeling and “deep” health for better patient outcomes and sustainability in healthcare, and the 47 papers included here offer an insight into state-of-the-art aspects of dHealth, including the design and evaluation of user interfaces, patient-centered solutions, electronic health/medical/patient records, telemedical approaches and solutions, predictive models, machine learning in healthcare and biomedical data analytics. The book provides an interdisciplinary overview of current research activities in digital health, and will be of interest to all those working in the field.
Author: Paul Cerrato
Publisher: Himss Publishing
ISBN: 9781032015132
Category : MEDICAL
Languages : en
Pages : 176
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Book Description
The complex challenges facing healthcare are being met by the transitioning much patient care from hospitals, clinics, and offices to virtual settings. The digital reconstruction of medicine includes telemedicine, mobile apps, sensing devices, and other technologies. The book explores how these tools are meeting patient needs across the globe.
Author: Edward W. Marx
Publisher: CRC Press
ISBN: 1000097757
Category : Medical
Languages : en
Pages : 138
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Book Description
This book is a reference guide for healthcare executives and technology providers involved in the ongoing digital transformation of the healthcare sector. The book focuses specifically on the challenges and opportunities for health systems in their journey toward a digital future. It draws from proprietary research and public information, along with interviews with over one hundred and fifty executives in leading health systems such as Cleveland Clinic, Partners, Mayo, Kaiser, and Intermountain as well as numerous technology and retail providers. The authors explore the important role of technology and that of EHR systems, digital health innovators, and big tech firms in the ongoing digital transformation of healthcare. Importantly, the book draws on the accelerated learnings of the healthcare sector during the COVID-19 pandemic in their digital transformation efforts to adopt telehealth and virtual care models. Features of this book: Provides an understanding of the current state of digital transformation and the factors influencing the ongoing transformation of the healthcare sector. Includes interviews with executives from leading health systems. Describes the important role of emerging technologies; EHR systems, digital health innovators, and more. Includes case studies from innovative health organizations. Provides a set of templates and frameworks for developing and implementing a digital roadmap. Based on best practices from real-life examples, the book is a guidebook that provides a set of templates and frameworks for digital transformation practitioners in healthcare.
Author: Connolly, Thomas M.
Publisher: IGI Global
ISBN: 1668450941
Category : Business & Economics
Languages : en
Pages : 406
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Book Description
The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as “high on promise and relatively low on data and proof.” If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems critically reflects on the challenges that data-driven CDSSs must address to become mainstream healthcare systems rather than a small set of exemplars of what might be possible. It further identifies evidence-based, successful data-driven CDSSs. Covering topics such as automated planning, diagnostic systems, and explainable artificial intelligence, this premier reference source is an excellent resource for medical professionals, healthcare administrators, IT managers, pharmacists, students and faculty of higher education, librarians, researchers, and academicians.
Author: Marion J. Ball
Publisher: Springer Science & Business Media
ISBN: 1475724020
Category : Medical
Languages : en
Pages : 371
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Book Description
Aimed at health care professionals, this book looks beyond traditional information systems and shows how hospitals and other health care providers can attain a competitive edge. Speaking practitioner to practitioner, the authors explain how they use information technology to manage their health care institutions and to support the delivery of clinical care. This second edition incorporates the far-reaching advances of the last few years, which have moved the field of health informatics from the realm of theory into that of practice. Major new themes, such as a national information infrastructure and community networks, guidelines for case management, and community education and resource centres are added, while such topics as clinical and blood banking have been thoroughly updated.
Author: Shantanu Nundy
Publisher: McGraw Hill Professional
ISBN: 1264259131
Category : Business & Economics
Languages : en
Pages : 273
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Book Description
A practical action plan for reinventing healthcare in a post-pandemic world—from a physician-entrepreneur who works with Fortune 500 companies. If the healthcare system were an emperor, Covid-19 tragically revealed that it had no clothes. Healthcare had to adapt, and quickly―sparking a dramatic acceleration of virtual care, drive-through testing, and home-based services. In the process, old rules were rewritten and, perhaps surprisingly, largely in a good way for patients. To succeed in the post-pandemic world, all of us―patients, caregivers, providers, employers, investors, technologists, and policymakers―need to understand the new healthcare landscape and change our strategies and behaviors accordingly. In Care After Covid, practicing physician and business leader Dr. Shantanu Nundy—Chief Medical Officer of Accolade, which provides technology-enabled health services to Fortune 500 companies as well as small businesses―lays out a comprehensive plan to transform healthcare along three dimensions: Distributed: healthcare will happen where health happens. It will shift from where doctors are to where patients are—at home, in the community, and increasingly on their phones. Digitally enabled: healthcare and the relationships that are central to care will be strengthened by data and technology. It will shift from being siloed to connected, from being episodic to continuous, from one-size-fits-all to more personalized. Decentralized: healthcare decisions and resources will be in the hands of those closest to care. The power to determine who gets care and how they get it will shift away from governments and insurance companies to communities, employers, doctors, and patients. Filled with firsthand insights and stories from the frontlines of healthcare—as well as innovative solutions that were proven effective before and during the pandemic—Care After Covid shows all stakeholders in the healthcare ecosystem exactly what needs to change and, more importantly, how to do it. The time to act is now. We can’t afford not to.
Author: Nancy Alfred Persily
Publisher: McGraw-Hill Companies
ISBN:
Category : Business & Economics
Languages : en
Pages : 316
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Book Description
Reinventing the IDS suggests that the time has come to think about integrated delivery systems in a whole new way. The ideal integrated delivery system of the future might not be one that is vertically or horizontally integrated but rather one that virtually integrates players into a more three-dimensional model that is amoebic in nature, that is, centerless and adaptable to its environment; one that is interconnected by a secure, adaptable, and comprehensive information system.Reinventing the IDS proposes a number of ways that the IDS can be more effective at reaching its goals of improving quality and reducing waste and duplication in the delivery of healthcare to a regional community. The authors identify the ideal IDS as one comprised of the full continuum of healthcare services, innovative financing mechanisms, such as global capitation, administrative-clinical staff synergy, a viable set of financials, and a community-focused, streamlined-yet-diversified governing board (with provider and community representation).Topics that are covered in Reinventing the IDS include: -- Changing demographics and changing needs -- Financing -- Supply-side and demand-side cost sharing -- Ownership -- Buy in, rather than buy out -- Alternative financing mechanisms and investment opportunities -- Technology -- The tie that binds -- Manpower -- Team-based management and provision -- Governance -- Developing synergy between the system and communityRead Reinventing the IDS and discover new and innovative ways to achieve true system integration And provide real benefit to the community.
