2026 Edition · Master's-Level Text
Nursing Informatics: Systems, Data, AI, and Digital Practice
A graduate textbook covering the full discipline of nursing informatics — from foundations, workflow, and system design through data standards, interoperability, clinical AI governance, and digital-health strategy — aligned to the ANCC Informatics Nursing (NI-BC) Test Content Outline.
Front Matter
Part I — Foundations of Nursing Informatics
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1
Nursing Informatics as a Discipline and Practice
What nursing informatics is, what it is not, and how the specialty turns clinical work into safer, more usable, and more governable information systems.
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2
Information, Knowledge, Systems, and Sociotechnical Thinking
How informatics turns raw observations into usable knowledge while recognizing that clinical technology operates inside complex human systems.
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3
Evidence, Collaboration, Equity, and Professional Practice
How informatics professionals use evidence, collaborate across disciplines, communicate change, and account for equity when designing digital systems.
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4
Ethics, Law, Privacy, Confidentiality, and Informatics Governance
The ethical, legal, privacy, and governance structures that shape what healthcare information systems may do and what they should do.
Part II — The System Design Lifecycle
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5
Clinical Workflow, Needs Assessment, and Requirements
How informatics moves from a vague request to a defensible understanding of current work, future needs, and testable requirements.
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6
Project, Product, Change, and Process Improvement
How informatics organizes work, manages change, improves processes, and avoids mistaking project completion for clinical success.
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7
System Design, Human Factors, Usability, and Clinical Decision Support
Designing clinical systems around human cognitive work, safe interaction, and decision support rather than around software capability alone.
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8
Testing, Training, Implementation, and Go-Live
Turning a designed system into a validated, teachable, deployable clinical capability.
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9
Optimization, Support, Maintenance, Downtime, and Evaluation
How informatics sustains systems after go-live, learns from real use, governs change, and prepares for failure.
Part III — Data, Standards, and Interoperability
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10
Clinical Data, Metadata, and Standardized Terminologies
How clinical meaning becomes computable data, why terminology choices matter, and how nursing documentation contributes to—or disappears from—the digital record.
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11
Interoperability, HL7, FHIR, APIs, USCDI, and TEFCA
How healthcare systems exchange information, why exchange can fail even when a connection exists, and how U.S. interoperability policy is shifting toward standardized APIs and network-to-network exchange.
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12
Databases, SQL, Warehousing, Data Quality, and Data Governance
How clinical data are stored, transformed, queried, governed, and prepared for trustworthy reuse.
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13
Analytics, Visualization, Quality Improvement, and Decision Support
How informatics turns data into defensible measures, useful visualizations, and decisions without confusing correlation with causation or dashboards with improvement.
Part IV — Clinical and Consumer Technologies
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14
EHR Architecture, Devices, Mobility, Networks, and Clinical Technology
How the EHR, identity systems, networks, devices, and clinical technologies operate as a connected care environment rather than isolated products.
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15
Patient-Generated Data, Portals, Telehealth, Remote Monitoring, and Population Health
How digital health extends beyond institutional walls and changes the relationship among patients, clinicians, data, and care delivery.
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16
Cybersecurity, Resilience, and Safe Digital Operations
Why cybersecurity is a patient-safety discipline, how common controls work, and how informatics connects security decisions to clinical continuity.
Part V — Artificial Intelligence and Emerging Informatics
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17
Artificial Intelligence, Machine Learning, NLP, and Generative AI
What modern AI systems actually do, how generative models differ from traditional predictive models, and where their capabilities and limitations matter in nursing informatics.
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18
Implementing, Evaluating, and Governing Clinical AI
How healthcare organizations decide whether an AI system is fit for a specific use, validate it locally, integrate it into workflow, monitor it, and govern its lifecycle.
Part VI — Strategy, Leadership, and the Future
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19
Informatics Governance, Portfolio Management, Vendor Selection, and Integration Strategy
How organizations decide what technology work to pursue, who gets to decide, how vendors are evaluated, and how local requests become an enterprise portfolio rather than a collection of disconnected projects.
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20
Informatics Leadership, Finance, Value, Workforce, and Career Development
How informatics leaders translate technical and clinical work into organizational value, build capable teams, communicate with executives, and progress from individual expertise to strategic influence.
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21
Digital Transformation and the Future of Nursing Informatics
How to reason about emerging technology without chasing novelty, how nursing informatics may change as AI and automation mature, and which principles should remain stable as specific tools change.
Back Matter
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Appendix A — AI for the Nursing Informaticist
Practical guide, prompt library, and workflow cookbook. Model landscape checked September 15, 2026.
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Appendix B — NI-BC Certification Crosswalk
Full blueprint mapping and recommended certification study path.
- Q
Quiz Answer Key
Rationales for every chapter quiz question, organized by chapter.