Home / Search / The Digital Health Interoperability Handbook: Standards, Integration, AI, and Blockchain for Clinicians and Public Health Professionals
- ISBN-13 · 9789786425900
- ISBN-10 · 9786425901
- Publisher · Dhin Press
- Format · Paperback, 464 pages
- Published · 2026
- Language · English
The Digital Health Interoperability Handbook: Standards, Integration, AI, and Blockchain for Clinicians and Public Health Professionals
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About this book
About the Book
Healthcare is entering an era in which data, interoperability, and artificial intelligence are becoming inseparable from clinical care and public health. Yet clinicians, public health leaders, policymakers, and program managers are often expected to make decisions about technologies they were never formally taught. The Digital Health Interoperability Handbook bridges that gap.
It demystifies how modern health information systems communicate, why interoperability projects succeed or fail, and how standards, governance, terminology, architecture, security, and workflow fit together. It moves from foundational concepts to HL7 FHIR, terminology, implementation guides, conformance testing, APIs, analytics, AI, blockchain, and real-world implementation. As AI automates more routine work, the advantage will increasingly belong to professionals who can combine domain knowledge with data, standards, governance, systems thinking, and responsible use of AI. This book helps readers build that foundation and identify where they can contribute to the emerging health and HealthIT workforce.
What You Will Gain
Healthcare is entering an era in which data, interoperability, and artificial intelligence are becoming inseparable from clinical care and public health. Yet clinicians, public health leaders, policymakers, and program managers are often expected to make decisions about technologies they were never formally taught. The Digital Health Interoperability Handbook bridges that gap.
It demystifies how modern health information systems communicate, why interoperability projects succeed or fail, and how standards, governance, terminology, architecture, security, and workflow fit together. It moves from foundational concepts to HL7 FHIR, terminology, implementation guides, conformance testing, APIs, analytics, AI, blockchain, and real-world implementation. As AI automates more routine work, the advantage will increasingly belong to professionals who can combine domain knowledge with data, standards, governance, systems thinking, and responsible use of AI. This book helps readers build that foundation and identify where they can contribute to the emerging health and HealthIT workforce.
What You Will Gain
- Understand interoperability, integration, HIE, APIs, standards, and digital health architecture without unnecessary technical complexity.
- Navigate HL7 FHIR, HL7 v2, SNOMED CT, LOINC, ICD-11, ISO, DICOM, IHE, and WHO SMART Guidelines in practical context.
- Learn how implementation guides, workflows, registries, terminology services, conformance testing, security, and governance work together.
- Understand AI and blockchain in healthcare beyond the hype-including where they add value and what foundations they require.
- Learn from examples spanning the United States, Europe, Asia, and low-resource settings.
- Explore career pathways linking clinical practice, public health, informatics, interoperability, terminology, data, governance, and AI.
- Build the vocabulary and systems understanding needed to lead digital transformation rather than simply react to it.
- Be ready to leverage the disruptive power of AI in healthcare and don't be impacted.