AI in healthcare : how artificial intelligence is changing IT operations and infrastructure services / Rob Shimonski.

Format:

Book

Author/Creator:

Shimonski, Robert.

Contributor:

Wiley InterScience (Online service)

Language:

English

Subjects (All):

Artificial intelligence--Medical applications.

Artificial intelligence.

Medical informatics.

Physical Description:

1 online resource

Place of Publication:

Indianapolis, Indiana : John Wiley & Sons, [2021]

System Details:

text file

Contents:

Chapter 1 Healthcare IT and the Growing Need for Al Operations p. 1

A Brief History of AI and Healthcare p. 3

Healthcare IT Expansion and Growth p. 4

Data Overload p. 5

Digital Transformation of Healthcare p. 7

The Science of Healthcare Innovation p. 9

Artificial Intelligence in Healthcare p. 10

Healthcare IT Operations p. 14

AIOps Platform Strategy p. 18

Platform Types p. 19

Customer Experience and AIOps p. 20

AIOps Considerations and Goals p. 22

Chapter 2 Al Healthcare Operations (Clinical) p. 25

Clinical Impact of AIOps p. 26

Gaining a Competitive Edge with Intelligent Cloud, Data Analytics, and AI p. 27

Design and Innovation p. 29

AIOps for Healthcare Delivery p. 33

AIOps for Service Performance p. 38

Clinical AI, AIOps, and Future Platform Convergence p. 39

Security and Privacy p. 41

Why Security Is Paramount in AIOps p. 41

HIPAA, PHI, and PII Protection p. 43

Chapter 3 AI Healthcare Operations (Operational Infrastructure) p. 47

Getting Started with AIOps p. 48

Strategy of AIOps Deployments p. 50

Creating a Scope p. 51

AIOps Platforms, Products, and Services Selection p. 54

AIOps Product Selection: General Topics p. 54

Product Review: AIOps Tool Splunk p. 57

Product Review: AIOps Tool ServiceNow p. 60

Product Review: AIOps Tool Dynatrace p. 64

Workflow and Event Management Design p. 67

Service Design with AIOps p. 67

Day-to-Day Operational Management p. 69

Chapter 4 Project Planning for AIOps p. 73

Project Planning Requirements p. 74

Assigning a Project Manager p. 75

Creating a Project Plan p. 77

Building the Project Plan p. 78

Planning a Healthcare System Project p. 83

Deploying AIOps p. 85

Deploying AIOps into the Environment p. 86

Configuring AIOps in the Environment p. 88

Chapter 5 Using AI for Metrics, Performance, and Reporting p. 93

System Performance Metrics p. 94

Information Technology Metrics p. 94

Using AI for Metrics, Performance, and Reporting p. 98

Strategy and Goals for AI Deployment p. 101

Benefits of Healthcare AIOps Service Performance Reporting p. 102

Developing Usable AIOps Metrics p. 104

Helpful Tools You Can Use p. 105

Gathering Usable Metrics p. 107

Using Dynatrace p. 108

Using Splunk p. 110

Using ServiceNow p. 117

Clinical and IT Metrics and Collective Actions p. 123

Usable Healthcare AIOps Dashboards p. 127

Chapter 6 AIOps and Automation in Healthcare Operations p. 131

Automation, Workflow, Process, and Intelligence Design p. 132

Designing the Framework for Automation p. 132

Understanding Automation p. 133

Improved User Experience p. 134

Designing Workflow and Process Engineering p. 135

Quality Control and Assurance p. 138

Foundational and Required Design Items p. 139

Configuring and Using AIOps Automation p. 146

Monitoring and Operating Event Management Services p. 148

Creating and Realizing Automation, ML, and AI p. 152

Automating Splunk and IT Service Analyzer p. 155

Splunk IT Service Intelligence p. 160

When Should You Use AI and ML? p. 162

Chapter 7 Cloud Operations and AIOps p. 165

Understanding the Cloud p. 166

Understanding Cloud Computing p. 166

Cloud as a Service p. 172

Hybrid Cloud Solutions p. 175

When You Should (and Shouldn't) Consider the Cloud p. 178

Deploying to the Cloud p. 179

Conducting a Request for Proposal p. 182

Additional Deployment Options p. 184

Managing in the Cloud p. 186

Cloud Management and Monitoring Solutions p. 189

Chapter 8 The Future of Healthcare AI p. 193

The Dynamically Changing World of AI p. 194

The Future of AI p. 198

Artificial Intelligence and Healthcare Innovation p. 201

Big Data, DataOps, Analytics, and Informatics p. 201

Telehealth (Telemedicine) p. 204

Telehealth Innovations p. 206

Telehealth AI p. 209

Future Innovation Merging Clinical and IT Operations p. 212

The Future and Beyond p. 214

AIOps, the Cloud, and Security p. 218

Chapter 9 The Convergence of Healthcare Al Technology p. 221

Overview of Convergence p. 222

Systems Integration p. 225

Convergence of AI, HIT, and HIE p. 228

IoT and AI p. 230

IoT Management p. 237

AIOps Management and Security p. 239.

Notes:

Electronic reproduction. Hoboken, N.J. Available via World Wide Web.

Description based on online resource; title from digital title page (viewed on March 17, 2021).

Other Format:

Print version:

ISBN:

9781119680055

1119680050

1119680042

9781119680048

9781119680079

1119680077

Publisher Number:

40030424822

Access Restriction:

Restricted for use by site license.