AI in Healthcare

How Artificial Intelligence Is Changing IT Operations and Infrastructure Services

Häftad, Engelska, 2021

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The best source for cutting-edge insights into AI in healthcare operationsAI in Healthcare: How Artificial Intelligence Is Changing IT Operations and Infrastructure Services collects, organizes and provides the latest, most up-to-date research on the emerging technology of artificial intelligence as it is applied to healthcare operations.Written by a world-leading technology executive specializing in healthcare IT, this book provides concrete examples and practical advice on how to deploy artificial intelligence solutions in your healthcare environment. AI in Healthcare reveals to readers how they can take advantage of connecting real-time event correlation and response automation to minimize IT disruptions in critical healthcare IT functions.This book provides in-depth coverage of all the most important and central topics in the healthcare applications of artificial intelligence, including: Healthcare ITAI Clinical OperationsAI Operational InfrastructureProject PlanningMetrics, Reporting, and Service PerformanceAIOps in AutomationAIOps Cloud OperationsFuture of AIWritten in an accessible and straightforward style, this book will be invaluable to IT managers, administrators, and engineers in healthcare settings, as well as anyone with an interest or stake in healthcare technology.

Produktinformation

Utgivningsdatum2021-04-08
Mått147 x 224 x 15 mm
Vikt363 g
FormatHäftad
SpråkEngelska
Antal sidor288
FörlagJohn Wiley & Sons Inc
ISBN9781119680017

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ROB SHIMONSKI is a technology executive specializing in healthcare IT for Northwell Health, one of the largest health systems in America. He is responsible for modernizing operational support with new technologies like cloud computing and storage and artificial intelligence. He currently focuses on AI Operations. He has written more than 20 books on IT topics, including penetration testing, incident handling, and cyberwarfare.

Introduction xviiChapter 1 Healthcare IT and the Growing Need for AI Operations 1A Brief History of AI and Healthcare 3Healthcare IT Expansion and Growth 4Data Overload 5Digital Transformation of Healthcare 7The Science of Healthcare Innovation 9Artificial Intelligence in Healthcare 10Healthcare IT Operations 14AIOps Platform Strategy 18Platform Types 19Customer Experience and AIOps 20AIOps Considerations and Goals 22Summary 23Chapter 2 AI Healthcare Operations (Clinical) 25Clinical Impact of AIOps 26Gaining a Competitive Edge with Intelligent Cloud, Data Analytics, and AI 27Design and Innovation 29AIOps for Healthcare Delivery 33AIOps for Service Performance 38Clinical AI, AIOps, and Future Platform Convergence 39Security and Privacy 41Why Security is Paramount in AIOps 41HIPAA, PHI, and PII Protection 43Summary 45Chapter 3 AI Healthcare Operations (Operational Infrastructure) 47Getting Started with AIOps 48Strategy of AIOps Deployments 50Creating a Scope 51AIOps Platforms, Products, and Services Selection 54AIOps Product Selection: General Topics 54Product Review: AIOps Tool Splunk 57Product Review: AIOps Tool ServiceNow 60Product Review: AIOps Tool Dynatrace 64Workflow and Event Management Design 67Service Design with AIOps 67Day-to-Day Operational Management 69Summary 70Chapter 4 Project Planning for AIOps 73Project Planning Requirements 74Assigning a Project Manager 75Creating a Project Plan 77Building the Project Plan 78Planning a Healthcare System Project 83Deploying AIOps 85Deploying AIOps into the Environment 86Configuring AIOps in the Environment 88Summary 91Chapter 5 Using AI for Metrics, Performance, and Reporting 93System Performance Metrics 94Information Technology Metrics 94Using AI for Metrics, Performance, and Reporting 98Strategy and Goals for AI Deployment 101Benefits of Healthcare AIOps Service Performance Reporting 102Developing Usable AIOps Metrics 104Helpful Tools You Can Use 105Gathering Usable Metrics 107Using Dynatrace 108Using Splunk 110Using ServiceNow 117Clinical and IT Metrics and Collective Actions 123Usable Healthcare AIOps Dashboards 127Summary 128Chapter 6 AIOps and Automation in Healthcare Operations 131Automation, Workflow, Process, and Intelligence Design 132Designing the Framework for Automation 132Understanding Automation 133Improved User Experience 134Designing Workflow and Process Engineering 135Quality Control and Assurance 138Foundational and Required Design Items 139Configuring and Using AIOps Automation 146Monitoring and Operating Event Management Services 148Creating and Realizing Automation, ML, and AI 152Automating Splunk and IT Service Analyzer 155Splunk IT Service Intelligence 160When Should You Use AI and ML? 162Summary 163Chapter 7 Cloud Operations and AIOps 165Understanding the Cloud 166Understanding Cloud Computing 166Cloud as a Service 172Hybrid Cloud Solutions 175When You Should (and Shouldn’t) Consider the Cloud 178Deploying to the Cloud 179Conducting a Request for Proposal 182Additional Deployment Options 184Managing in the Cloud 186Cloud Management and Monitoring Solutions 189Summary 191Chapter 8 The Future of Healthcare AI 193The Dynamically Changing World of AI 194The Future of AI 198Artificial Intelligence and Healthcare Innovation 201Big Data, DataOps, Analytics, and Informatics 201Telehealth (Telemedicine) 204Telehealth Innovations 206Telehealth AI 209Future Innovation Merging Clinical and IT Operations 212The Future and Beyond 214AIOps, the Cloud, and Security 218Summary 218Chapter 9 The Convergence of Healthcare AI Technology 221Overview of Convergence 222Systems Integration 225Convergence of AI, HIT, and HIE 228IoT and AI 230IoT Management 237AIOps Management and Security 239Summary 245Appendix Sample AIOps Use Cases and Examples 247Index 259