Dimensions of Intelligent Analytics for Smart Digital Health Solutions

Dimensions of Intelligent Analytics for Smart Digital Health Solutions

 
Edition number: 1
Publisher: Chapman and Hall
Date of Publication:
 
Normal price:

Publisher's listprice:
GBP 130.00
Estimated price in HUF:
62 790 HUF (59 800 HUF + 5% VAT)
Why estimated?
 
Your price:

56 511 (53 820 HUF + 5% VAT )
discount is: 10% (approx 6 279 HUF off)
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
 
Availability:

Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Can't you provide more accurate information?
 
  Piece(s)

 
 
 
 
Product details:

ISBN13:9781032699738
ISBN10:1032699736
Binding:Hardback
No. of pages:448 pages
Size:234x156 mm
Weight:2180 g
Language:English
Illustrations: 53 Illustrations, black & white; 53 Line drawings, black & white; 42 Tables, black & white
0
Category:
Short description:

This title demystifies 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.

Long description:

This title demystifies arti?cial 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.



"I have had the pleasure of being a contributing author to one of Professor Wickramasinghe?s previous books on digital health. Once again, she and her co-editors have assembled a roster of domain experts that cover currently relevant topics in the rapidly changing field of digital health. I appreciate how this book weaves in the areas of technical, management, clinical, and human factor considerations into the delivery of healthcare today. As a practicing clinician, I understand how analytic and AI technologies will play an increasingly critical role in effecting value-based care outcomes that are more precise and bespoke to the individual patient. I recommend this book as a critical read to all stakeholders who seek a greater understanding of just how technology plays an increasingly pertinent role in the delivery of care now and into the future."


Duane F. Wisk, DO, MPH, FACOEM, Managing Partner, GlobalMed Physicians



"AI is the tool that promises to change everything?with good reason. But without the intelligent analytics discussed in this groundbreaking book, it could just be the source of confusion and error. The two dimensions are critical to realizing its promise."


Albert J. Weatherhead III, Professorship of Management, Dean and Professor, Department of Banking and Finance, Weatherhead School of Management, USA



"Using data driven approaches in providing highly reliable patient care is the right thing to do. As technologies have advanced, Wickramasinghe et al. provide a glimpse into the management, technical, clinical and human factors associated with the critically important topics of applying analytics, artificial intelligence and machine learning to healthcare. Developing patient centered and clinician derived approaches to improving care models using descriptive, diagnostic, predictive and prescriptive analytics is the right approach, and the authors are expertly leading the readers to expedite their journey to improving healthcare."


Jonathan Schaffer, MD, MBA, Managing Director, eCleveland Clinic, Information Technology Division of Cleveland Clinic, USA

Table of Contents:

Section I: Technical Considerations. 1. Medical Image Processing. 2. Smart Wearables in Healthcare. 3. Causal AI in Personalised Healthcare. 4. Interpretable AI in Healthcare. Section II: Management Perspectives. 5. Data Ownership and Emerging Data Governance Models in Healthcare. 6. Privacy-Preserving Roadmap for Medical Data-Sharing Systems. 7. A Comparative Review of Descriptive Process Models in Healthcare Operations Management and Analytics. 8. AI Approaches for Managing Preventive Care in Digital Health Ecosystems. 9. Competitive Intelligence in Healthcare. Section III: Clinical Applications. 10. Machine Learning for Healthcare Applications: Possibilities and Barriers. 11. A Systematic Review of Prediction Models for Chronic Opioid Use Following Surgery. 12. Addressing Challenges in the Emergency Department with Analytics and AI. 13. Using Simulators to Assist with Mental Health Issues: The Impact of a Sailing Simulator on People with ADHD. 14. A Possible Blockchain Architecture for Healthcare: Insights from Catena-X. Section IV: Human Factors. 15. Implications and Considerations of AI for the Healthcare Workforce: A Theoretical Perspective. 16. Unplanned Readmission Risks for Comorbid Patients of Diabetes: An Action Design Research Paradigm Data-Driven Decision Support. 17. Establishing a Digital Twin Architecture for Superior Falls Risk Prediction Using a Bayesian Network Model. 18. Facilitating a Shared Meaning of AI/ML Findings amongst Key Healthcare Stakeholders: The Role of Analytic Translators.