Readings Newsletter
Become a Readings Member to make your shopping experience even easier.
Sign in or sign up for free!
You’re not far away from qualifying for FREE standard shipping within Australia
You’ve qualified for FREE standard shipping within Australia
The cart is loading…
Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider serves as an indispensable resource for anyone seeking to understand and apply artificial intelligence (AI) within the healthcare sector. The book opens with a concise introduction to data science and AI concepts, providing a foundation for readers to quickly grasp the core principles involved. By blending practical examples and theoretical frameworks, it guides healthcare leaders and providers through the complexities of adopting AI-driven solutions. This guide is designed to orient readers rapidly, preparing them to engage with AI's transformational potential in clinical and operational settings.
In addition to its comprehensive overview, the book presents a clear framework for successfully planning, deploying, implementing, and evaluating AI models in healthcare environments. Each of its 25 chapters can be read independently, making it a versatile tool for self-paced learning. The use of real-world case studies-both successful and unsuccessful-offers valuable insights and important lessons learned from practical applications. This approach not only demystifies AI but also illustrates its real impact on solving clinical and operational challenges.
$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout
Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider serves as an indispensable resource for anyone seeking to understand and apply artificial intelligence (AI) within the healthcare sector. The book opens with a concise introduction to data science and AI concepts, providing a foundation for readers to quickly grasp the core principles involved. By blending practical examples and theoretical frameworks, it guides healthcare leaders and providers through the complexities of adopting AI-driven solutions. This guide is designed to orient readers rapidly, preparing them to engage with AI's transformational potential in clinical and operational settings.
In addition to its comprehensive overview, the book presents a clear framework for successfully planning, deploying, implementing, and evaluating AI models in healthcare environments. Each of its 25 chapters can be read independently, making it a versatile tool for self-paced learning. The use of real-world case studies-both successful and unsuccessful-offers valuable insights and important lessons learned from practical applications. This approach not only demystifies AI but also illustrates its real impact on solving clinical and operational challenges.