
Nursing Informatics Online Course
The Nurse Informatics Learning and Skill Roadmap Course gives registered nurses and clinical professionals a structured path to mastering health information systems, data standards, and informatics leadership. From EHR fundamentals to AI evaluation and strategic governance, every module is built around real clinical challenges. Step into a high-demand specialty with the competencies employers are actively hiring for.
What you will learn:
This course covers the full spectrum of nursing informatics, starting with foundational concepts like the DIKW model and progressing through EHR architecture, clinical data standards, interoperability frameworks, and cybersecurity compliance. You will learn to design clinical decision support tools, lead quality improvement projects using real data, and manage informatics implementations with proven project management and change leadership methods. Advanced topics include AI evaluation in clinical settings, telehealth workflow integration, consumer health informatics, and strategic health IT planning. You will also build a professional portfolio and identify the certification pathway that aligns with your career goals.
How you study in practice Nursing Informatics Online Course
How you practise Nursing Informatics Online Course
For companies looking to train their team
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the specific needs of your company.
Course content
8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Nursing Informatics
Foundations of Nursing Informatics
Lesson 1 • Defining Nursing Informatics
Covers the official definition, scope, and history of nursing informatics. Anchors all subsequent learning in a shared professional vocabulary.
Lesson 2 • Data, Information, Knowledge, Wisdom
Explains the DIKW hierarchy as the conceptual backbone of informatics practice. Students apply the model to real nursing scenarios.
Lesson 3 • Roles of the Nurse Informaticist
Describes career roles including analyst, educator, project manager, and CNIO. Connects role selection to individual competency gaps identified earlier.
Lesson 4 • Core Informatics Competency Domains
Maps the competency domains nurses must master across clinical, technical, and leadership areas. Provides a self-assessment baseline for the course.
Chapter 2HideHide detailsSee detailsHealth Information Systems and EHR Fundamentals
Health Information Systems and EHR Fundamentals
Lesson 1 • EHR Core Components and Modules
Identifies essential EHR modules: clinical documentation, CPOE, medication management, and scheduling. Students map modules to nursing workflow touchpoints.
Lesson 2 • Navigating EHR Interfaces
Develops hands-on navigation skills for common EHR interface patterns. Reduces cognitive load during clinical use through practised efficiency.
Lesson 3 • Architecture of Health Information Systems
Explains client-server, cloud, and hybrid HIS architectures. Connects system design choices to clinical workflow performance and data integrity.
Lesson 4 • Evaluating EHR Usability
Applies usability heuristics and satisfaction surveys to assess EHR design quality. Connects poor usability to nurse burnout and documentation errors.
Lesson 5 • EHR Implementation Lifecycle
Covers planning, build, testing, go-live, and optimisation phases of EHR implementation. Prepares nurses to contribute meaningfully to implementation teams.
Chapter 3HideHide detailsSee detailsClinical Data Standards and Interoperability
Clinical Data Standards and Interoperability
Lesson 1 • Health Data Exchange Standards
Explains HL7 v2, HL7 FHIR, and CDA messaging standards for data exchange. Students trace a clinical message through its exchange lifecycle.
Lesson 2 • Clinical Terminology Systems
Introduces SNOMED CT, LOINC, ICD, and nursing-specific terminologies. Students match terminology systems to appropriate clinical documentation contexts.
Lesson 3 • APIs and Data Integration
Introduces REST APIs and SMART on FHIR for clinical application integration. Students understand how apps connect to EHR data without deep coding knowledge.
Lesson 4 • Interoperability Frameworks
Defines foundational, structural, semantic, and organisational interoperability levels. Students assess a care setting's current interoperability maturity.
Chapter 4HideHide detailsSee detailsHealth Data Privacy, Security, and Ethics
Health Data Privacy, Security, and Ethics
Lesson 1 • Privacy Regulations and Compliance
Covers patient privacy rights, minimum necessary standards, and consent frameworks. Students identify compliance gaps in sample clinical scenarios.
Lesson 2 • Access Controls and Authentication
Covers role-based access control, multi-factor authentication, and audit logging. Students configure appropriate access levels for sample clinical roles.
Lesson 3 • Breach Response and Incident Management
Outlines breach detection, notification timelines, and containment procedures. Students practice a tabletop breach response exercise.
Lesson 4 • Ethical Dimensions of Health Data Use
Examines data ownership, algorithmic bias, and secondary data use ethics. Connects ethical frameworks to real informatics decision-making scenarios.
Lesson 5 • Cybersecurity Fundamentals for Nurses
Explains phishing, ransomware, and insider threats targeting healthcare systems. Builds nurse awareness as the first line of organisational defence.
Chapter 5HideHide detailsSee detailsClinical Decision Support and Workflow Design
Clinical Decision Support and Workflow Design
Lesson 1 • Workflow Analysis Techniques
Applies process mapping, time-motion studies, and swimlane diagrams to clinical workflows. Identifies inefficiencies that CDS tools can address.
Lesson 2 • Principles of Clinical Decision Support
Defines CDS types: alerts, order sets, documentation templates, and dashboards. Students classify existing CDS tools by type and clinical purpose.
Lesson 3 • Order Sets and Care Pathways
Guides creation of evidence-based order sets and standardised care pathways within EHRs. Connects order set design to reduced clinical variation.
Lesson 4 • Designing Effective CDS Alerts
Covers alert fatigue causes, specificity tuning, and tiered alert severity design. Students redesign an over-alerting CDS rule to reduce fatigue.
Lesson 5 • Evaluating CDS Effectiveness
Applies metrics including alert acceptance rate, time-to-decision, and outcome data to evaluate CDS impact. Students design a CDS evaluation plan.
Chapter 6HideHide detailsSee detailsHealth Data Analytics and Quality Improvement
Health Data Analytics and Quality Improvement
Lesson 1 • Healthcare Data Sources and Repositories
Maps clinical, administrative, and claims data sources to their analytical uses. Students identify the right data source for a given QI question.
Lesson 2 • Data Visualisation for Clinical Audiences
Applies chart selection principles and dashboard design to clinical data storytelling. Students build a quality dashboard for a nursing unit.
Lesson 3 • Measuring and Reporting Outcomes
Defines process, outcome, and balancing measures and links them to nursing-sensitive indicators. Students build a measurement plan for a QI initiative.
Lesson 4 • Querying and Extracting Clinical Data
Introduces SQL basics and report-builder tools for extracting EHR data. Students write simple queries to answer clinical quality questions.
Lesson 5 • Quality Improvement Methodologies
Covers PDSA cycles, Lean, and Six Sigma as applied to informatics-driven QI projects. Students map a QI problem to the appropriate methodology.
Chapter 7HideHide detailsSee detailsInformatics Project Management and Change Leadership
Informatics Project Management and Change Leadership
Lesson 1 • Training and End-User Adoption
Designs role-based training programmes and super-user networks to drive EHR adoption. Connects training design to sustained post-go-live performance.
Lesson 2 • Stakeholder Engagement and Communication
Identifies stakeholder mapping, communication planning, and executive briefing techniques. Students create a stakeholder register for a sample project.
Lesson 3 • Risk Management and Issue Resolution
Builds risk registers, mitigation plans, and escalation pathways for informatics projects. Students conduct a risk assessment on a provided project scenario.
Lesson 4 • Change Management Models in Healthcare
Applies Kotter, ADKAR, and Lewin models to EHR and informatics change initiatives. Students select and justify a model for a given change scenario.
Lesson 5 • Project Management Fundamentals
Covers project lifecycle, scope, schedule, and budget management in healthcare IT contexts. Connects PM discipline to successful informatics implementations.
Chapter 8HideHide detailsSee detailsStrategic Informatics Leadership and Innovation
Strategic Informatics Leadership and Innovation
Lesson 1 • Strategic Planning for Health IT
Applies SWOT, environmental scanning, and portfolio management to health IT strategy. Students align an informatics roadmap to organisational strategic goals.
Lesson 2 • Policy Advocacy and Regulatory Influence
Equips nurses to engage in health IT policy processes at organisational and national levels. Students draft a policy brief on a current informatics issue.
Lesson 3 • Informatics Governance Structures
Explains IT governance committees, steering councils, and shared decision-making models. Students design a governance charter for a nursing informatics committee.
Lesson 4 • Evaluating Emerging Health Technologies
Provides a framework for assessing AI, telehealth, wearables, and genomic tools for clinical adoption. Students score a new technology using an evidence-based rubric.
Lesson 5 • Building an Informatics Culture
Defines the behaviours, incentives, and leadership practices that sustain an informatics-driven culture. Students develop a culture assessment and action plan.
Your valid completion certificate
This course is for you:
Bedside RNs: eager to move into a technology-focused nursing specialty.
Charge nurses: already influencing workflows and ready to formalize that expertise.
Nurse educators: wanting to integrate informatics competencies into staff development.
New nursing graduates: looking to differentiate themselves in a competitive job market.
Clinical coordinators: managing systems daily but lacking the credentials to advance.
Career-changing professionals: entering healthcare with a background in data or IT.
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