Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
The best source for cutting-edge insights into AI in healthcare operations AI 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…mehr
The best source for cutting-edge insights into AI in healthcare operations AI 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 AI Written 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.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
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.
Inhaltsangabe
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
