Intelligent Health Policy

Intelligent Health Policy
Author: Petri Virtanen
Publisher: Springer
Total Pages: 196
Release: 2017-11-29
Genre: Medical
ISBN: 3319695967

This book provides a general overview of intelligence in health policy, health-care organizations and health services in the light of the current EU digital agenda, which aims to make health data and e-health tools publicly available. The first part analyses the implications of knowledge management and decision-making procedures for intelligent health policies and governance. The second part discusses in detail the concept of intelligence and illustrates why the perspective of organizational intelligence offers a solution to contemporary problems in health care, while the third part focuses on intelligent leadership models in health-care organizations. Providing a guide to new ways of understanding, developing, and reforming health policy and health services, it appeals to scholars as well as decision-makers in health governance and health-care institutions.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Total Pages: 385
Release: 2020-06-21
Genre: Computers
ISBN: 0128184396

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

AI in Health

AI in Health
Author: Tom Lawry
Publisher: CRC Press
Total Pages: 198
Release: 2020-02-05
Genre: Business & Economics
ISBN: 1000036324

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.

Intelligent Kindness

Intelligent Kindness
Author: John Ballatt
Publisher: RCPsych Publications
Total Pages: 212
Release: 2011-06
Genre: Medical
ISBN: 9781908020048

This book calls on policymakers, managers, educators and clinical staff to apply and nurture intelligent kindness in the organisation and delivery of care.

Artificial Intelligence in Behavioral and Mental Health Care

Artificial Intelligence in Behavioral and Mental Health Care
Author: David D. Luxton
Publisher: Academic Press
Total Pages: 309
Release: 2015-09-10
Genre: Psychology
ISBN: 0128007923

Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings

Intelligent Healthcare

Intelligent Healthcare
Author: Surbhi Bhatia
Publisher: Springer Nature
Total Pages: 323
Release: 2021-07-02
Genre: Technology & Engineering
ISBN: 3030670511

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Smart Health

Smart Health
Author: Andreas Holzinger
Publisher: Springer
Total Pages: 283
Release: 2015-02-24
Genre: Medical
ISBN: 3319162268

Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.

Searching for Health

Searching for Health
Author: Kapil Parakh
Publisher: JHU Press
Total Pages: 177
Release: 2021-04-20
Genre: Health & Fitness
ISBN: 1421440296

An insider's guide to searching online, communicating with your physician, and maximizing your health from a doctor who works at Google. We've all been there. Late at night, staring into the glow of a phone trying to make sense of some health-related issue that we know nothing about. In Searching for Health, Dr. Kapil Parakh, with Anna Dirksen, brings to life knowledge he gained from working at Google and practicing medicine. Helping readers avoid common pitfalls, get the information they need, and partner effectively with their health team to figure out a path to good health together, the book distills decades of scientific research into a set of easy-to-follow tips. It also incorporates • firsthand accounts of common challenges on the path to good health; • an inside look at how doctors approach and assess health-related information; • techniques that consumers can use to locate evidence-based information online, whether in blogs, social media postings, forums, or news stories; • guidance on how individuals can make the best use of new technologies, such as health trackers and other applications; • recommendations to help patients assess health information for themselves and make decisions based on what they find; • brief summaries of the scientific studies underpinning the recommendations; and • online and offline resources—including handy checklists and worksheets—to help readers prepare for appointments, discuss tough topics with their doctors, and take control of their health. In addition to helping readers find evidence-based information online, the book provides insights into what you can expect from a visit to a doctor or hospital, how to make a decision about surgery or other treatment, what tests doctors will order, which symptom trackers are really effective, and what questions to ask about medications, supplements, and more. Searching for Health is a valuable resource for charting a healthier path through life.

Machine Learning and AI for Healthcare

Machine Learning and AI for Healthcare
Author: Arjun Panesar
Publisher: Apress
Total Pages: 390
Release: 2019-02-04
Genre: Computers
ISBN: 1484237994

Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

Innovative Systems for Intelligent Health Informatics

Innovative Systems for Intelligent Health Informatics
Author: Faisal Saeed
Publisher: Springer Nature
Total Pages: 1262
Release: 2021-05-05
Genre: Computers
ISBN: 303070713X

This book presents the papers included in the proceedings of the 5th International Conference of Reliable Information and Communication Technology 2020 (IRICT 2020) that was held virtually on December 21–22, 2020. The main theme of the book is “Innovative Systems for Intelligent Health Informatics”. A total of 140 papers were submitted to the conference, but only 111 papers were published in this book. The book presents several hot research topics which include health informatics, bioinformatics, information retrieval, artificial intelligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering.