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Index
Cover
Table of Contents
Title Page
Introduction
What Does This Book Cover?
Reader Support for This Book
CHAPTER 1: Healthcare IT and the Growing Need for AI Operations
A Brief History of AI and Healthcare
Digital Transformation of Healthcare
AIOps Platform Strategy
Summary
CHAPTER 2: AI Healthcare Operations (Clinical)
Clinical Impact of AIOps
Security and Privacy
Summary
CHAPTER 3: AI Healthcare Operations (Operational Infrastructure)
Getting Started with AIOps
AIOps Platforms, Products, and Services Selection
Workflow and Event Management Design
Summary
CHAPTER 4: Project Planning for AIOps
Project Planning Requirements
Deploying AIOps
Summary
CHAPTER 5: Using AI for Metrics, Performance, and Reporting
System Performance Metrics
Information Technology Metrics
Developing Usable AIOps Metrics
Summary
CHAPTER 6: AIOps and Automation in Healthcare Operations
Automation, Workflow, Process, and Intelligence Design
Designing the Framework for Automation
Configuring and Using AIOps Automation
When Should You Use AI and ML?
Summary
CHAPTER 7: Cloud Operations and AIOps
Understanding the Cloud
Deploying to the Cloud
Managing in the Cloud
Summary
CHAPTER 8: The Future of Healthcare AI
The Dynamically Changing World of AI
The Future of AI
Artificial Intelligence and Healthcare Innovation
Future Innovation Merging Clinical and IT Operations
The Future and Beyond
AIOps, the Cloud, and Security
Summary
CHAPTER 9: The Convergence of Healthcare AI Technology
Overview of Convergence
Systems Integration
Convergence of AI, HIT, and HIE
IoT and AI
IoT Management
AIOps Management and Security
Summary
APPENDIX Sample AIOps Use Cases and Examples
Scenario 1: Failing Application
Scenario 2: No Access to EMR
Summary
Index
Copyright
Dedication
About the Author
About the Technical Editor
Acknowledgments
End User License Agreement
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