Ai in Healthcare - How Artificial Intelligence Is Changing It Operations Infrastructure

Informationen zum Autor 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. Klappentext 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 IT* AI Clinical Operations* AI Operational Infrastructure* Project Planning* Metrics, Reporting, and Service Performance* AIOps in Automation* AIOps Cloud Operations* Future 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. Zusammenfassung 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 IT* AI Clinical Operations* AI Operational Infrastructure* Project Planning* Metrics, Reporting, and Service Performance* AIOps in Automation* AIOps Cloud Operations* Future 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. Inhaltsverzeichnis Introduction xvii Chapter 1 Healthcare IT and the Growing Need for AI Operations 1 A Brief History of AI and Healthcare 3 Healthcare IT Expansion and Growth 4 Data Overload 5 Digital Transformation of Healthcare 7 The Science of Healthcare Innovation 9 Artificial Intelligence in Healthcare 10 Healthcare IT Operations 14 AIOps Platform Strategy 18 Platform Types 19 Customer Experience and AIOps 20 AIOps Considerations and Goals 22 Summary 23 Chapter 2 AI Healthcare Operations (Clinical) 25 Clinical Impact of AIOps 26 Gaining a Competitive Edge with Intelligent Cloud, Data Analytics, and AI 27 Design and Innovation 29 AIOps for Healt...

Sommario

Introduction xvii
 
Chapter 1 Healthcare IT and the Growing Need for AI Operations 1
 
A Brief History of AI and Healthcare 3
 
Healthcare IT Expansion and Growth 4
 
Data Overload 5
 
Digital Transformation of Healthcare 7
 
The Science of Healthcare Innovation 9
 
Artificial Intelligence in Healthcare 10
 
Healthcare IT Operations 14
 
AIOps Platform Strategy 18
 
Platform Types 19
 
Customer Experience and AIOps 20
 
AIOps Considerations and Goals 22
 
Summary 23
 
Chapter 2 AI Healthcare Operations (Clinical) 25
 
Clinical Impact of AIOps 26
 
Gaining a Competitive Edge with Intelligent Cloud, Data Analytics, and AI 27
 
Design and Innovation 29
 
AIOps for Healthcare Delivery 33
 
AIOps for Service Performance 38
 
Clinical AI, AIOps, and Future Platform Convergence 39
 
Security and Privacy 41
 
Why Security is Paramount in AIOps 41
 
HIPAA, PHI, and PII Protection 43
 
Summary 45
 
Chapter 3 AI Healthcare Operations (Operational Infrastructure) 47
 
Getting Started with AIOps 48
 
Strategy of AIOps Deployments 50
 
Creating a Scope 51
 
AIOps Platforms, Products, and Services Selection 54
 
AIOps Product Selection: General Topics 54
 
Product Review: AIOps Tool Splunk 57
 
Product Review: AIOps Tool ServiceNow 60
 
Product Review: AIOps Tool Dynatrace 64
 
Workflow and Event Management Design 67
 
Service Design with AIOps 67
 
Day-to-Day Operational Management 69
 
Summary 70
 
Chapter 4 Project Planning for AIOps 73
 
Project Planning Requirements 74
 
Assigning a Project Manager 75
 
Creating a Project Plan 77
 
Building the Project Plan 78
 
Planning a Healthcare System Project 83
 
Deploying AIOps 85
 
Deploying AIOps into the Environment 86
 
Configuring AIOps in the Environment 88
 
Summary 91
 
Chapter 5 Using AI for Metrics, Performance, and Reporting 93
 
System Performance Metrics 94
 
Information Technology Metrics 94
 
Using AI for Metrics, Performance, and Reporting 98
 
Strategy and Goals for AI Deployment 101
 
Benefits of Healthcare AIOps Service Performance Reporting 102
 
Developing Usable AIOps Metrics 104
 
Helpful Tools You Can Use 105
 
Gathering Usable Metrics 107
 
Using Dynatrace 108
 
Using Splunk 110
 
Using ServiceNow 117
 
Clinical and IT Metrics and Collective Actions 123
 
Usable Healthcare AIOps Dashboards 127
 
Summary 128
 
Chapter 6 AIOps and Automation in Healthcare Operations 131
 
Automation, Workflow, Process, and Intelligence Design 132
 
Designing the Framework for Automation 132
 
Understanding Automation 133
 
Improved User Experience 134
 
Designing Workflow and Process Engineering 135
 
Quality Control and Assurance 138
 
Foundational and Required Design Items 139
 
Configuring and Using AIOps Automation 146
 
Monitoring and Operating Event Management Services 148
 
Creating and Realizing Automation, ML, and AI 152
 
Automating Splunk and IT Service Analyzer 155
 
Splunk IT Service Intelligence 160
 
When Should You Use AI and ML? 162
 
Summary 163
 
Chapter 7 Cloud Operations and AIOps 165
 
Understanding the Cloud 166
 
Understanding Cloud Computing 166
 
Cloud as a Service 172
 
Hybrid C

Dettagli sul prodotto

• Autori: R Shimonski, Robert Shimonski, Shimonski Robert
• Editore: Wiley, John and Sons Ltd
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 31.05.2021
• EAN: 9781119680017
• ISBN: 978-1-119-68001-7
• Pagine: 288
• Categorie: Scienze naturali, medicina, informatica, tecnica > Medicina > Tematiche generali; Gesundheitswesen, Künstliche Intelligenz, KI, Healthcare, AI, Biomedical engineering, Health & Social Care, Gesundheits- u. Sozialwesen, Biomedizintechnik, Medizininformatik u. biomedizinische Informationstechnologie, Medical Informatics & Biomedical Information Technology, Spezialthemen Gesundheitswesen, Health & Health Care Special Topics