Health Informatics, Digital Health and AI
Overview
Health data become valuable only when they can be represented, exchanged, interpreted, governed, and used reliably.
Health Informatics, Digital Health and AI examines the technical and organizational foundations of contemporary digital health systems. It follows the lifecycle of health data from clinical capture and interoperability through governance, security, decision support, artificial intelligence, and operational monitoring.
The volume addresses electronic health records, data quality and provenance, FHIR and clinical terminologies, health information exchange, privacy and cybersecurity, telemedicine, clinical decision support, predictive models, responsible AI, digital public-health surveillance, digital twins, digital therapeutics, and reproducible computing infrastructure.
Throughout, it distinguishes technical performance from clinical utility, interoperability from meaningful use, and predictive accuracy from evidence of benefit. Emphasis is placed on validation, traceability, security, monitoring, and controlled change across the digital-health lifecycle.
Written for advanced students, researchers, health professionals, informatics specialists, and public-health practitioners, the book provides a structured framework for understanding and evaluating digital health technologies in complex health systems.
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Details
- ISBN-13: 9798193135630
- ISBN-10: 9798193135630
- Publisher: Independently Published
- Publish Date: August 2026
- Dimensions: 10 x 7 x 0.53 inches
- Shipping Weight: 0.97 pounds
- Page Count: 250
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