In Print: ‘Applications of Large Language Models (LLM) in Healthcare Systems’

Publication title

Applications of Large Language Models (LLM) in Healthcare Systems: Opportunities, Challenges, and Ethical Considerations

Purdue author

Miad Faezipour

Additional authors

Azadeh Zamanifar
Farhad Soleimanian Gharehchopogh
Amirfarhad Farhadi

Publisher

Chapman & Hall

Publication date

November 2025

About the book (from the publisher)

This book explores the role of large language models (LLMs) in healthcare. It focuses on the life cycle of LLM deployment in healthcare settings, including transparency, accountability, data privacy and regulatory compliance to ensure safe and effective use.

By bridging the gap between technical artificial intelligence development and clinical application, this book highlights the critical collaboration between clinicians and data scientists to create representative datasets and fine-tune models for clinical accuracy and interpretability. Real-world challenges such as mitigating bias, managing AI hallucinations and safeguarding patient confidentiality are explored, alongside strategies for continuous improvement and ways to assess long-term impact.

Key features include:

• Case studies illustrating LLM applications in clinical decision support, medical imaging, patient communication and administrative automation
• In-depth discussion of data privacy, regulatory compliance and ethical considerations in AI healthcare applications
• Insights into overcoming challenges like bias, hallucinations and interoperability with existing health information systems
• How LLMs could revolutionize patient care in the future, including operational efficiency and personalized medicine

This book is an essential resource for clinicians, healthcare executives, technologists, data scientists and students seeking to harness the power of LLMs to improve patient outcomes and streamline healthcare delivery.

About the Purdue author

Miad Faezipour is an associate professor of electrical and computer engineering technology in Purdue Polytechnic Institute’s School of Engineering Technology. She is a full member of the Regenstrief Center for Healthcare Engineering, co-lead of the Polytechnic Digital Health Innovation Center, a core faculty member of the Applied AI Research Center at Purdue,  as well as the founder and director of the Digital/Biomedical Embedded Systems & Technology (D-BEST) research laboratory. Her research primarily focuses on healthcare technology with embedded intelligence, digital/biomedical embedded hardware/software co-designs, biomedical signal/image processing, computer vision, healthcare/biomedical informatics, artificial intelligence and AI-based bio-data augmentation.

About the In Print series

To celebrate our faculty’s excellence in scholarship, Purdue Today’s weekly book series highlights faculty expertise across diverse subjects and disciplines. Find out more about the Purdue University Books Initiative and how to suggest a book for the In Print series on the Office of the Provost website. Purdue University’s Libraries and School of Information Studies’ authored books collection is available here.