Skip to product information
1 of 1

Shulph Ink

Multiple Perspectives on Artificial Intelligence in Healthcare: Opportunities and Challenges

Multiple Perspectives on Artificial Intelligence in Healthcare: Opportunities and Challenges

Dispatches within 2 to 4 weeks
Regular price £58.30 GBP
Regular price £69.99 GBP Sale price £58.30 GBP
Sale Sold out
Taxes included. Shipping calculated at checkout.

YOU SAVE £11.69

  • Condition: Brand new
  • UK Delivery times: Usually arrives within 2 - 3 working days
  • UK Shipping: Fee starts at £2.39. Subject to product weight & dimension

Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.

  • More about Multiple Perspectives on Artificial Intelligence in Healthcare: Opportunities and Challenges


This book provides a comprehensive overview of the challenges and opportunities presented by the use of artificial intelligence in healthcare, covering various perspectives and addressing key issues such as human research, patient safety, ethics, and policy. It is a valuable resource for health information technology professionals, healthcare managers, practitioners, and patients, as well as students and researchers in the field.

Format: Paperback / softback
Length: 196 pages
Publication date: 08 August 2022
Publisher: Springer Nature Switzerland AG


This comprehensive yet concise book delves into the multifaceted challenges and transformative opportunities arising from the integration of artificial intelligence (AI) in healthcare. By adopting a multi-faceted approach, it explores the topic from various perspectives, including those of nurses, consumers, medical practitioners, healthcare managers, and data analysts. It comprehensively covers human factors research, delves into critical patient safety concerns, addresses ethical dilemmas, and addresses essential policy issues. Through the presentation of cutting-edge research and practical insights, the book serves as an invaluable reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, empowering them in their decision-making processes. Moreover, it will greatly benefit students and researchers engaged in artificial intelligence-related research endeavors within the healthcare domain.


Introduction:
The advent of AI has brought about a seismic shift in the healthcare landscape, offering immense potential for innovation, improved patient outcomes, and enhanced efficiency. However, along with these benefits come a range of complex challenges that require careful consideration and resolution. This book aims to provide a comprehensive yet concise overview of the challenges and opportunities presented by the use of AI in healthcare.
Approach:
To achieve this, the book adopts a multi-faceted approach, drawing from the expertise of various professionals and stakeholders involved in the healthcare sector. It encompasses a wide range of topics, including human factors research, patient safety issues, ethical challenges, and important policy issues. By presenting a holistic view of the AI landscape, the book aims to provide a comprehensive understanding of the factors that shape the adoption and implementation of AI in healthcare.
Human Factors Research:
One of the key areas of focus in this book is human factors research. The authors explore the impact of AI on human behavior, decision-making, and patient care. They discuss the importance of designing AI systems that are user-friendly, intuitive, and aligned with human values and preferences. They also highlight the need for ongoing research to identify and address potential risks and biases associated with AI, ensuring that it is used in a responsible and ethical manner.
Patient Safety Issues:
Patient safety is a paramount concern in healthcare, and AI has the potential to play a significant role in improving patient outcomes. However, there are also concerns about the safety of AI systems, particularly in the areas of diagnosis, treatment, and monitoring. The authors address these concerns by discussing the importance of rigorous testing, validation, and monitoring of AI systems. They also explore the role of healthcare professionals in ensuring the safe and effective use of AI, including the development of guidelines, protocols, and training programs.
Ethical Challenges:
The use of AI in healthcare raises a range of ethical challenges, including issues related to privacy, consent, transparency, and accountability. The authors address these challenges by exploring the ethical principles that guide the use of AI in healthcare, including the principles of autonomy, beneficence, non-maleficence, and justice. They also provide practical insights on how healthcare professionals can navigate these ethical challenges, including the development of ethical frameworks, the establishment of ethical review committees, and the promotion of patient education and engagement.
Policy Issues:
The integration of AI in healthcare requires a comprehensive policy framework to ensure its responsible and sustainable development. The authors discuss the key policy issues that need to be addressed, including regulatory frameworks, data privacy and security, intellectual property rights, and workforce development. They also provide recommendations on how policymakers can develop effective policies that balance the benefits of AI with the need for patient safety, privacy, and ethical considerations.
Conclusion:
In conclusion, this book offers a comprehensive yet concise overview of the challenges and opportunities presented by the use of AI in healthcare. By adopting a multi-faceted approach, it provides a valuable resource for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike. It serves as an insightful reference guide for those seeking to understand the complexities of AI in healthcare and make informed decisions about its adoption and implementation. As the field of AI continues to evolve and expand, this book will remain an essential tool for those engaged in artificial intelligence-related research issues in healthcare.

Weight: 326g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030673055
Edition number: 1st ed. 2021

This item can be found in:

UK and International shipping information

UK Delivery and returns information:

  • Delivery within 2 - 3 days when ordering in the UK.
  • Shipping fee for UK customers from £2.39. Fully tracked shipping service available.
  • Returns policy: Return within 30 days of receipt for full refund.

International deliveries:

Shulph Ink now ships to Australia, Belgium, Canada, France, Germany, Ireland, Italy, India, Luxembourg Saudi Arabia, Singapore, Spain, Netherlands, New Zealand, United Arab Emirates, United States of America.

  • Delivery times: within 5 - 10 days for international orders.
  • Shipping fee: charges vary for overseas orders. Only tracked services are available for most international orders. Some countries have untracked shipping options.
  • Customs charges: If ordering to addresses outside the United Kingdom, you may or may not incur additional customs and duties fees during local delivery.
View full details