Intelligent Healthcare Solutions

AI in Digital Health
1. Auflage 2027
ISBN: 978-1-032-95096-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 408 Seiten, Format (B × H): 178 mm x 254 mm

Reihe: HIMSS Book Series

The healthcare industry is rapidly evolving with the integration of AI technologies. There is a growing need for educational resources that can bridge the gap between traditional healthcare education and the technological advancements shaping the future. "Intelligent Healthcare Solutions: AI in Digital Health" addresses this need by providing a comprehensive and accessible guide to AI in healthcare, supplemented by the innovative StudyAID platform. This book explores the transformative potential of artificial intelligence (AI) in healthcare, covering its applications, challenges, and future directions in an easy-to-understand and engaging manner. With the increasing integration of AI technologies in healthcare, this book aims to equip readers with the knowledge and insights needed to navigate the future of patient care. Accompanying the book is an online platform called StudyAID, which provides readers with access to AI tools, smart chatbots, and templates for practical exercises. The book provides a thorough examination of how AI is revolutionizing the healthcare industry. Each chapter, written by a leading authority, is meticulously structured to offer clear explanations, relevant examples, ethical and legal considerations, practical insights and future directions into various aspects of AI in healthcare.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Olla, Phillip

Tan, Joseph

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement

Inhaltsverzeichnis

Contributor Biographies

Author Biographies

Foreword

Extend This Book Into Practice

Section I. Foundations of AI in Healthcare

1. Landscape of AI in Healthcare

Author(s): Phillip Olla, Joseph Tan

2. Fundamentals of Machine Learning and Deep Learning

Author(s): Mina Maleki, Sara Shannan, Phillip Olla

3. Natural Language Processing and Clinical Text Analytics

Author(s): Mina Maleki, Sara Shannan, Phillip Olla

4. Promptology: Designing Thoughtful Human–AI Interaction in Healthcare

Author(s): Phillip Olla, Ava Travo, Joseph Tan

Section II. Ethical, Social, and Environmental Considerations

5. Epistemic Injustice, Identity-Based Bias & Inclusive Generative AI in Healthcare

Author(s):Craig Van Slyke, Cynthia LeRouge

6. Environmental Cost of AI in Healthcare

Author(s): Phillip Olla, Ava Bandi

7. AI and the Future of Work in Healthcare

Author(s): Taylor Stanley, Phillip Olla,

8. Bias, Fairness, Transparency & Explainable AI Techniques

Author(s): Harshita Asnani, Joseph Tan

Section III. Implementation and Operationalization

9. AI for Workflow Optimization and Burnout Reduction

Author(s): Anurag Bhagat, Joseph Tan

10. Technical Architecture and Infrastructure for AI in Health Care

Author(s): Joseph Tan, Phillip Olla

11. Human-Centered Design in Healthcare

Author(s): Micah Lee-Diagle, Eddie Olla

12. Interoperability and Integration with EHRs and Clinical Systems

Author(s): Joseph Tan, Ava Travo

Section IV. Clinical Applications

13. AI in Mental Health and Psychiatry

Author(s): Phillip Olla, Ava Travo

14. Risk-Stratified AI in Clinical Practice

Author(s): Phillip Olla, Venus Olla, Joseph Tan

15. AI in Medical Imaging Across Disciplines

Author(s): Vidhya Elango

16. Predictive Analytics for Chronic Disease Management

Author(s): Nadine Woodowski

Section V. Case Studies and Innovation Snapshots

Case Study 1: Fundamentals AI in Digital Health

Case 1.1: When the Model Speaks First

Author(s): Kennedy Redmond-Payne, Phillip Olla, Joseph Tan

Case 1.2: The Model That Learned to See

Author(s): Kennedy Redmond-Payne, Phillip Olla

Case 1.3: Learning Without Looking

Author(s): Kennedy Redmond-Payne, Phillip Olla

Case Study 2: Clinical Applications of AI in Digital Health

Case Study 2.1: Correcting the Lens

Author(s): Harshit Kohli

Case Study 2.2: The Right Drug for the Right Patient

Author(s): Srushti Madhure

Case Study 2.3: When the Tools Disappear: AI Dependency, Workforce Fragility, and HR Risk in Healthcare

Author(s): Joelle Olla

Case Study 3: Operational and Ethical Challenges of AI in Healthcare

Case Study 3.1: When the Note Writes Itself: Governing Ambient Clinical Documentation in Outpatient Care

Author(s): Sofia Qureshi

Case Study 3.2: When the Agent Enters the Back Office: Governing AI Agents in Administrative Workflow

Author(s): Sofia Qureshi

Case Study 3.3: When the Patient Meets the Machine: Designing Safe and Inclusive Patient-Facing AI Tools

Author(s): Sofia Qureshi

Case Study 3.4: When the Algorithm Listened to the Heart: AI-Enabled ECG Screening for Early Heart Failure Detection in Primary Care

Author(s): Ava Travo

Cast Study 4: AI Tools, Analytics & Decision Support

Case Study 4.1: When the Bot Listens at 3 a.m.: The Roles, Realities, and Responsibilities of AI Chatbots in Mobile Mental Health

Author(s): Harshita Asnani

Case Study 4.2: Predicting the Impact of MMR Vaccination Policy: AI as a Forecasting Tool in Public Health

Author(s): Joelle Olla,

Case Study 4.3: From Raw Data to Real-Time Insight

Author(s): Deepak Bhaskara

Case Study 4.4: When the Algorithm Enters the Room: AI Governance in a Psychotherapy Practice

Author(s): Venus Olla

Über Autor(innen)

Phillip Olla, PhD

Dr. Phillip Olla is a Professor at the University of Detroit Mercy, Founder and Executive Director of the

Center for Augmenting Intelligence (CAI), and an internationally recognized researcher, inventor, and

entrepreneur whose work focuses on artificial intelligence, digital health, healthcare innovation, and

educational transformation. He holds a doctorate in Information Systems from Brunel University London

and brings more than two decades of experience spanning academia, healthcare, and technology

leadership, including solution design and management roles with Oracle Corporation, BT Group, and O2.

Dr. Olla has authored more than 70 peer-reviewed publications, seven books, and numerous book

chapters and conference proceedings. His scholarly work has generated more than 1,000 citations, with

a Google Scholar h-index of 17, reflecting sustained contributions to healthcare informatics, digital

transformation, artificial intelligence, and innovation management. He is co-author of the textbook

Digital Health Care: Perspectives, Applications, and Cases, a widely used resource exploring emerging

digital health technologies, healthcare analytics, artificial intelligence, telehealth, and clinical decision

support systems.

An accomplished inventor, Dr. Olla is the creator of the award-winning and patent-protected StudyAid®

platform and the inventor of multiple innovations in the emerging field of Breathomics, including

patented and patent-pending technologies that combine exhaled breath biomarkers and artificial

intelligence for hydration monitoring, wellness assessment, and non-invasive health diagnostics. His

work has been presented internationally, including engagements with the United Nations and the World

Health Organization, and continues to advance responsible AI innovation that improves healthcare,

education, and community well-being.

Joseph Tan, PhD

Dr. Joseph Tan is Professor Emeritus of Information Systems at the DeGroote School of

Business and former Wayne C. Fox Chair in eBusiness Innovation. Internationally recognized

for his contributions to health informatics, digital health, information systems, and e-business

innovation, Dr. Tan has spent more than three decades advancing interdisciplinary research,

academic leadership, and digital transformation initiatives across healthcare, business, and

technology.

Dr. Tan is the founding and continuing Editor-in-Chief of the International Journal of

Healthcare Information Systems and Informatics. His multidisciplinary expertise spans

healthcare informatics, information systems, engineering, human-computer interaction, decision

sciences, organizational innovation, and digital transformation. Throughout his distinguished

career, he has served as an endowed chair professor, department chair, program director,

research fellow, project leader, consultant, and mentor across leading research-intensive

institutions in North America.

A prolific scholar, Dr. Tan has authored or co-authored more than 135 scholarly publications,

which have generated over 2,100 citations. His scholarly contributions include influential books

such as Adaptive Healthcare Management Information Systems, Mobile Health Solutions for

Biomedical Applications, and Contemporary Consumer Health Informatics, along with

numerous journal articles, book chapters, conference proceedings, and case studies.

A sought-after keynote speaker and international collaborator, Dr. Tan continues to work with

scholars, healthcare leaders, industry partners, and policymakers worldwide to advance digital

health innovation, informatics education, and sustainable healthcare transformation