Multiple Perspectives on Artificial Intelligence in Healthcare
Opportunities and Challenges
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Beschreibung
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.
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.
Reviews a set of artificial intelligence (AI) applications in healthcare Discusses best practices for using AI in healthcare Describes measures to foster better, safer use of AI in healthcare
Autor*in
Mowafa Househ
Themen in »Multiple Perspectives on Artificial Intelligence in Healthcare«
AI advantages in healthcare Privacy-preserving AI Biases in AI Regulation of AI AI in clinical decision support Challenges of health analytics Improving Patient Safety HCI in healthcare Healthcare Performance Improvement Health Information Safety Human Factors in E-Health Deep learning in medical diagnosis Human-AI interaction Human Factors in Healthcare AI Balancing Human and Machine Performance