ABSTRACT
This title demystifies artificial intelligence (AI) and analytics, upskilling individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the population at large) around analytics and AI as it applies to healthcare.
This book shows how the tools, techniques, technologies, and tactics around analytics and AI can be best leveraged and utilised to realise a healthcare value proposition of better quality, better access and high value for everyone every day, everywhere. The book presents a triumvirate approach including technical, business and medical aspects of data and analytics and by so doing takes a responsible approach to this key area.
This work serves to introduce the critical issues in AI and analytics for healthcare to students, practitioners, and researchers.
TABLE OF CONTENTS
part Section I|97 pages
Technical Considerations
part Section II|128 pages
Management Perspectives
chapter Chapter 7|36 pages
A Comparative Review of Descriptive Process Models in Healthcare Operations Management and Analytics
part Section III|100 pages
Clinical Applications
chapter Chapter 11|15 pages
A Systematic Review of Prediction Models for Chronic Opioid Use Following Surgery
chapter Chapter 13|10 pages
Using Simulators to Assist with Mental Health Issues
part Section IV|83 pages
Human Factors