Produktbild: AI in Healthcare

AI in Healthcare How Artificial Intelligence Is Changing IT Operations and Infrastructure Services

56,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

08.01.2021

Verlag

John Wiley & Sons Inc

Seitenzahl

288

Maße (L/B/H)

22,6/15,2/1,5 cm

Gewicht

381 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-68001-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

08.01.2021

Verlag

John Wiley & Sons Inc

Seitenzahl

288

Maße (L/B/H)

22,6/15,2/1,5 cm

Gewicht

381 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-68001-7

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: AI in Healthcare
  • 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 Cloud Solutions 175

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

    Deploying to the Cloud 179

    Conducting a Request for Proposal 182

    Additional Deployment Options 184

    Managing in the Cloud 186

    Cloud Management and Monitoring Solutions 189

    Summary 191

    Chapter 8 The Future of Healthcare AI 193

    The Dynamically Changing World of AI 194

    The Future of AI 198

    Artificial Intelligence and Healthcare Innovation 201

    Big Data, DataOps, Analytics, and Informatics 201

    Telehealth (Telemedicine) 204

    Telehealth Innovations 206

    Telehealth AI 209

    Future Innovation Merging Clinical and IT Operations 212

    The Future and Beyond 214

    AIOps, the Cloud, and Security 218

    Summary 218

    Chapter 9 The Convergence of Healthcare AI Technology 221

    Overview of Convergence 222

    Systems Integration 225

    Convergence of AI, HIT, and HIE 228

    IoT and AI 230

    IoT Management 237

    AIOps Management and Security 239

    Summary 245

    Appendix Sample AIOps Use Cases and Examples 247

    Index 259