Discover how you can use AI to effect dramatic changes in your healthcare organization today

In AI in Healthcare: How Artificial Intelligence Is Changing IT Operations and Infrastructure Services, author and health IT expert Robert Shimonski delivers a cutting-edge and comprehensive treatment of the intersection of artificial intelligence and operations (AIOps). He describes how the integration of real-time event correlation and response automation helps to minimize disruptions in mission-critical IT functions in healthcare organizations.

Through the book's practical examples and accessible advice, you'll learn about how both patients and clinicians experience better outcomes through the implementation of AI in healthcare IT systems. You'll also discover how to use AI to deliver the intelligence you need to continuously access accurate healthcare data, eliminate downtime, and reduce negative interactions patients and clinicians have with your organization's technology.

AI in Healthcare explains, in straightforward terms, why healthcare systems, networks, data, and critical infrastructures must all be more efficient, self-aware, and "self-healing" than they were in the past, and how you can achieve that goal. By focusing on the tools, systems, and services made possible by AI rather than on their underlying mathematics, the book allows a non-technical audience to quickly make the right decisions regarding the selection and deployment of optimal solutions.

Perfect for IT managers, administrators, and engineers at healthcare organizations, AI in Healthcare also belongs on the bookshelves of C-level executives, informatics specialists, and business analysts who seek to improve the performance of their own firms. Finally, virtually anyone involved in an operational role in a healthcare organization will benefit from the author's treatment of subjects like:

• An introduction to healthcare IT and the rapidly growing need for AI
• Clinical healthcare artificial intelligence operations, including descriptions of Big Data and informatics
• AI healthcare operations and operational infrastructure and how to select an appropriate operations software suite
• Project planning and management in the deployment of AI solutions in the healthcare environment