AI in Healthcare : How Artificial Intelligence Is Changing IT Operations and Infrastructure Services.
- 1st ed.
- 1 online resource (291 pages)
Cover -- Title Page -- Copyright -- About the Author -- About the Technical Editor -- Acknowledgments -- Contents at a Glance -- Contents -- 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 -- The Coronavirus and COVID-19 -- Healthcare IT Expansion and Growth -- Data Overload -- Digital Transformation of Healthcare -- The Science of Healthcare Innovation -- Artificial Intelligence in Healthcare -- Healthcare IT Operations -- AIOps Platform Strategy -- Platform Types -- Customer Experience and AIOps -- AIOps Considerations and Goals -- Summary -- Chapter 2 AI Healthcare Operations (Clinical) -- Clinical Impact of AIOps -- Gaining a Competitive Edge with Intelligent Cloud, Data Analytics, and AI -- Design and Innovation -- AIOps for Healthcare Delivery -- AIOps for Service Performance -- Clinical AI, AIOps, and Future Platform Convergence -- Security and Privacy -- Why Security Is Paramount in AIOps -- HIPAA, PHI, and PII Protection -- Summary -- Chapter 3 AI Healthcare Operations (Operational Infrastructure) -- Getting Started with AIOps -- Strategy of AIOps Deployments -- Creating a Scope -- AIOps Platforms, Products, and Services Selection -- AIOps Product Selection: General Topics -- Product Review: AIOps Tool Splunk -- Product Review: AIOps Tool ServiceNow -- Product Review: AIOps Tool Dynatrace -- Workflow and Event Management Design -- Service Design with AIOps -- Day-to-Day Operational Management -- Summary -- Chapter 4 Project Planning for AIOps -- Project Planning Requirements -- Assigning a Project Manager -- Creating a Project Plan -- Building the Project Plan -- Planning a Healthcare System Project -- Deploying AIOps -- Deploying AIOps into the Environment -- Configuring AIOps in the Environment -- Summary. Chapter 5 Using AI for Metrics, Performance, and Reporting -- System Performance Metrics -- Information Technology Metrics -- Using AI for Metrics, Performance, and Reporting -- Strategy and Goals for AI Deployment -- Benefits of Healthcare AIOps Service Performance Reporting -- Developing Usable AIOps Metrics -- Helpful Tools You Can Use -- Gathering Usable Metrics -- Using Dynatrace -- Using Splunk -- Using ServiceNow -- Clinical and IT Metrics and Collective Actions -- Usable Healthcare AIOps Dashboards -- Summary -- Chapter 6 AIOps and Automation in Healthcare Operations -- Automation, Workflow, Process, and Intelligence Design -- Designing the Framework for Automation -- Understanding Automation -- Improved User Experience -- Designing Workflow and Process Engineering -- Quality Control and Assurance -- Foundational and Required Design Items -- Configuring and Using AIOps Automation -- Monitoring and Operating Event Management Services -- Creating and Realizing Automation, ML, and AI -- Automating Splunk and IT Service Analyzer -- Splunk IT Service Intelligence -- When Should You Use AI and ML? -- Summary -- Chapter 7 Cloud Operations and AIOps -- Understanding the Cloud -- Understanding Cloud Computing -- Cloud as a Service -- Hybrid Cloud Solutions -- When You Should (and Shouldn't) Consider the Cloud -- Deploying to the Cloud -- Conducting a Request for Proposal -- Additional Deployment Options -- Managing in the Cloud -- Cloud Management and Monitoring Solutions -- Summary -- Chapter 8 The Future of Healthcare AI -- The Dynamically Changing World of AI -- The Future of AI -- Artificial Intelligence and Healthcare Innovation -- Big Data, DataOps, Analytics, and Informatics -- Telehealth (Telemedicine) -- Telehealth Innovations -- Telehealth AI -- 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 -- Identification -- Postmortem -- Scenario 2: No Access to EMR -- Identification -- Postmortem -- Summary -- Index -- EULA.