Encyclopedia of Modern Health Informatics
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A definitive resource for modern health informatics.

A 604-page A-to-Z reference for educators, clinicians, researchers, students, and healthcare leaders who need one trusted source for the concepts, standards, technologies, and trends shaping modern health informatics.

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Encyclopedia of Modern Health Informatics by Dr. Philip De Melo, front cover
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★★★★★ An indispensable reference of health information technology for nurses engaged in clinical informatics.
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Scope and authority

604 pages. Every major domain. One volume.

A single-volume, current A-to-Z reference built to match the full breadth of a fast-moving discipline.

A to Z, 604 pages

A complete alphabetical reference covering the full discipline, from foundational concepts to emerging practice, in a single volume.

Every major domain in one place

AI, electronic health records, interoperability, cybersecurity, public health informatics, and more, across the breadth of the field.

Structured for fast reference

Alphabetical organization and a consistent entry format let you find what you need and get back to work.

The field, covered

Ten domains reshaping clinical care and health systems

Hundreds of entries spanning the topics practitioners and students are working with today.

AI + Machine Learning
EHRs
Clinical Decision Support
Interoperability + Standards
Health Data Analytics
Telemedicine
Public Health Informatics
Cybersecurity
Data Governance
Digital Health Trends
Who it is for

Built for the people teaching, studying, researching, and applying health informatics every day

Healthcare professionals

One trustworthy source for the systems, standards, and terms behind daily clinical work.

Educators and professors

One current anchor text that replaces dated textbooks and scattered readings.

Students

The reference you keep long after the exam, through board prep and into practice.

Researchers

Clear definitions and historical grounding across every domain, ready to build on.

Administrators

A plain-language map of the systems, standards, and governance you fund.

Libraries

A natural addition to any academic health-sciences or health-system collection.

About the author

Written by a researcher at the frontier of AI in healthcare

Dr. Philip De Melo
Philip De Melo,
Ph.D., D.Sc.
Associate Professor, Dept. of Nursing and Allied Health, Norfolk State University
20+peer-reviewed papers
3AI frameworks
2books authored
Credentials at a glance
  • Associate Professor, Norfolk State University
  • Coordinator, Master of Health Informatics program
  • Originator of the SAIHA, PM GenAI, and LAT-AI frameworks
  • Ph.D. and D.Sc., focused on AI and health data science

Dr. De Melo's research applies artificial intelligence, machine learning, and predictive modeling to healthcare, disease prediction, and clinical decision-making. He develops methods for analyzing noisy, incomplete, and delayed clinical data, and is the originator of several analytic frameworks, including SAIHA, PM GenAI, and LAT-AI, aimed at predictive rather than reactive decision-making. He has authored numerous peer-reviewed papers and two books on the field, this encyclopedia and Public Health Informatics and Technology.

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Questions, answered

What formats can I buy?

A 604-page paperback and an eBook. There is no hardcover edition. The paperback ships physically, and the eBook is delivered digitally.

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Can I order multiple copies or for an institution?

Yes. Set the quantity at checkout up to 100 copies. For libraries, departments, or larger orders, use the institutional options above for a quote.

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