Healthcare Transformation using Artificial Intelligence

Grabbing the attention of healthcare leaders and tech innovators, Healthcare Transformation using Artificial Intelligence by Robert JT Morris delivers a clear, practical roadmap for harnessing AI to improve care, reduce costs, and modernize clinical workflows. This timely guide speaks directly to hospital executives, clinicians, data scientists, and policymakers seeking real-world strategies for AI adoption across health systems in the US, Europe, and the Asia-Pacific.

Start-to-finish, the book breaks down complex machine learning concepts, predictive analytics, and clinical decision support into actionable steps—without sacrificing rigor. Morris blends industry insight with operational frameworks that explain how to pilot AI projects, scale successful models, ensure data governance, and align technology with regulatory and ethical standards. Readers will find in-depth discussions on patient safety, interoperability, and the economics of AI deployment that are relevant to public and private healthcare settings alike.

Imagine faster diagnoses, smarter resource allocation, and personalized care pathways—all supported by responsible AI practices. This book shows how to measure outcomes, mitigate bias, and build cross-functional teams that translate algorithms into measurable improvements in patient experience and population health.

Concise, authoritative, and forward-looking, Healthcare Transformation using Artificial Intelligence is an essential resource for anyone involved in healthcare modernization. Whether you lead a clinical department or guide digital strategy, Robert JT Morris offers the insights and tools to move from pilot projects to system-wide transformation. Add this indispensable guide to your professional library and start shaping the future of care today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.