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  • Book
    Mowafa Househ, Elizabeth Borycki, Andre Kushniruk, editors.
    Summary: This book offers a comprehensive yet concise overview of the challenges and opportunities presented by the use of artificial intelligence in healthcare. It does so by approaching the topic from multiple perspectives, e.g. the nursing, consumer, medical practitioner, healthcare manager, and data analyst perspective. It covers human factors research, discusses patient safety issues, and addresses ethical challenges, as well as important policy issues. By reporting on cutting-edge research and hands-on experience, the book offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes. It will also benefit students and researchers whose work involves artificial intelligence-related research issues in healthcare.

    Contents:
    Reinforcement Learning Applications in Health Informatics
    Artificial intelligence in the fight against the COVID-19 pandemic: opportunities and challenges
    The Human Factors of AI in Healthcare: Recurrent Issues, Future Challenges and Ways Forward
    Artificial intelligence and medication management
    The Safety of AI in Healthcare: Emerging Issues and Considerations for Healthcare
    Reflections on the Clinical Acceptance of Artificial Intelligence
    Artificial Intelligence for Chatbots in Mental Health: Opportunities and Challenges
    AI and Machine Learning in Diabetes Management: Opportunity, Status, and Challenges
    Utilizing Health Analytics in Improving the Performance of Hospitals and Healthcare Services: Promises and Challenges
    Perspectives on Human-AI Interaction applied to Health and Wellness Management: Between Milestones and Hurdles.
    Digital Access Springer 2021