The Paid-for Option Using Process Intelligence to Close the Health-Care Knowledge Gap PDF Download
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Author:
Publisher: OpenConnect
ISBN: 0615336043
Category :
Languages : en
Pages : 119
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Book Description
Author:
Publisher: OpenConnect
ISBN: 0615336043
Category :
Languages : en
Pages : 119
Get Book Here
Book Description
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
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
Author: Jorge Piano Simoes
Publisher: Frontiers Media SA
ISBN: 2832553036
Category : Medical
Languages : en
Pages : 141
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Book Description
New developments in machine learning (ML) and artificial intelligence (AI) hold great promise to revolutionize mental health care. In this context, ML and AI have been deployed for several different goals, including 1) the early detection of mental disorders, 2) the optimization of personalized treatments based on the individual characteristics of patients, 3) the better characterization of disorders detrimental to mental well-being and quality of life, as well as a better description of projected trajectories over time, and 4) the development of new treatments for mental health care. Despite their great potential to transform mental health care and occasional breakthroughs, ML and AI have not yet fully achieved these goals. This research topic aims to bridge the gap between the potential uses of ML and AI and their practical application in standard mental health care. More specifically, we welcome original research submissions applying ML and AI to promote public health by reducing the burden of chronic disorders with detrimental effects on well-being (e.g., psychopathological distress), and improving quality of life. We also welcome submissions applying ML and AI in heterogeneous datasets (e.g., subjective scales and questionnaires, biomarkers, (neuro)psychological assessments, etc.) from Big Data sources (e.g., large datasets of clinical populations, electronic health records from nationally representative cohorts, and/or biobanks, studies using experiencing sampling methods, etc.) to gain mechanistic insight on how different chronic conditions associated with psychopathological distress can affect patient well-being and quality of life. Finally, we also welcome opinion papers and reviews on how to develop AI applications in mental health care responsibly, while integrating biopsychosocial aspects of patients to promote better mental health care.
Author: Ronny S. Mans
Publisher: Springer
ISBN: 3319160710
Category : Computers
Languages : en
Pages : 99
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Book Description
What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.
Author: Shimon Y. Nof
Publisher: Springer Nature
ISBN: 3030967298
Category : Technology & Engineering
Languages : en
Pages : 1533
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Book Description
This handbook incorporates new developments in automation. It also presents a widespread and well-structured conglomeration of new emerging application areas, such as medical systems and health, transportation, security and maintenance, service, construction and retail as well as production or logistics. The handbook is not only an ideal resource for automation experts but also for people new to this expanding field.
Author: Boris Galitsky
Publisher: Academic Press
ISBN: 0128245220
Category : Computers
Languages : en
Pages : 550
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Book Description
Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients. - Presents an in-depth exploration of how AI algorithms embedded in scheduling, prediction, automated support, personalization, and diagnostics can improve the efficiency of patient treatment - Investigates explainable AI, including explainable decision support and machine learning, from limited data to back-up clinical decisions, and data analysis - Offers hands-on skills to computer science and medical informatics students to aid them in designing intelligent systems for healthcare - Informs a broad, multidisciplinary audience about a multitude of applications of machine learning and linguistics across various healthcare fields - Introduces medical discourse analysis for a high-level representation of health texts
Author: Jennifer L. Hefner
Publisher: Emerald Group Publishing
ISBN: 1837976570
Category : Business & Economics
Languages : en
Pages : 256
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Book Description
This book contains an Open Access chapter. Volume 22 focuses on environmental uncertainty and the responsiveness of health care organizations, the mechanisms of change and how leaders within organizations frame and execute change, and investigates organizational preparedness and response in the face of acute crisis.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 48
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 116
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Book Description
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
Author: Abdelhak Lamiri
Publisher: Austin Macauley Publishers
ISBN: 1035852004
Category : Social Science
Languages : en
Pages : 221
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Book Description
This book presents the culmination of a 14-year pathbreaking research project examining the risks of civilisation collapse and potential solutions to avoid such an outcome. A profound diagnosis reveals that the root issue lies in the widening rift between the hard and social sciences, which have proven largely ineffective at managing the deficiencies of the former. Of course, the prevailing strategies, structures, and human resource management processes of modern nations have also played a significant role in destabilising societies. In economics, we still operate on principles of partial and general equilibrium, whereas we urgently need to adopt the global equilibrium framework proposed here. As things stand currently, we face two major failings in confronting this crisis. First, we lack the knowledge to overcome the existential threats before us. Second, the forces calling for change have adopted inadequate strategies, organisations, and leadership compared to the well-oiled machinery of the status quo. What we need is to jointly develop the missing knowledge and use it to take appropriate action, beginning with the creation of a new discipline, Global Science, to make sense of it all.
