The Digital Health Genome: Decoding the Architecture, Algorithms, and Future of Health Informatics

The Digital Health Genome: Decoding the Architecture, Algorithms, and Future of Health Informatics provides a structured introduction to the technologies, data systems and analytical methods supporting modern healthcare. Across ten interconnected chapters, the book progresses from the foundations of health informatics to electronic health records, data architecture, interoperability and clinical decision support. It explains key standards and terminologies, including HL7, FHIR, SNOMED CT, ICD and LOINC, alongside health databases, data warehousing, biostatistics and healthcare analytics. Further chapters examine artificial intelligence and machine learning, telemedicine, mobile health and wearable monitoring, with attention to cybersecurity, privacy and ethical practice. Emerging applications such as digital twins and precision medicine are considered within the wider development of connected, patient-centred care. Learning objectives, algorithmic flowcharts, supporting figures and tables, key takeaways and references help readers connect concepts with practical applications. Written for students, educators, researchers and healthcare professionals, the book serves as a learning and reference resource for understanding how health information is collected, exchanged, analysed and used responsibly.