Nursing informatics Course

Lesson 1 • Defining Nursing Informatics

Covers the formal definition, key terminology, and boundaries of nursing informatics. Anchors all subsequent content in a shared conceptual vocabulary.

Lesson 2 • Data, Information, Knowledge, Wisdom

Introduces the DIKW hierarchy as the conceptual backbone of informatics practice. Students apply the model to real clinical scenarios.

Lesson 3 • Healthcare Information Systems Overview

Surveys major system categories used in healthcare settings. Provides context for deeper technical content in later chapters.

Lesson 1 • EHR Evaluation and Selection

Provides criteria and frameworks for assessing EHR systems in organisational contexts. Equips nurses to contribute meaningfully to procurement decisions.

Lesson 2 • Workflow Analysis and Redesign

Introduces methods for mapping and improving clinical workflows around EHR use. Students identify inefficiencies and propose evidence-based redesigns.

Lesson 3 • Clinical Documentation Best Practices

Teaches standards for accurate, complete, and timely nursing documentation. Directly supports patient safety and legal accountability.

Lesson 4 • EHR Architecture and Components

Explains the structural components of EHR platforms and how data is organised. Prepares students to navigate any major EHR environment confidently.

Lesson 1 • Clinical Terminology Systems

Examines standardised vocabularies used to encode clinical concepts consistently. Establishes why terminology standards are essential for data exchange.

Lesson 2 • Messaging and Data Exchange Standards

Covers protocols that govern how systems transmit clinical data. Students distinguish between messaging formats and their appropriate use cases.

Lesson 3 • Implementing Data Standards in Practice

Guides students through applying standards during system implementation projects. Reinforces the clinical value of consistent, structured data.

Lesson 1 • Patient Privacy Principles

Defines patient privacy rights and the ethical obligations of healthcare providers. Grounds regulatory content in core nursing ethics.

Lesson 2 • Cybersecurity in Healthcare

Covers common threats, attack vectors, and defensive strategies specific to healthcare IT. Prepares nurses to recognise and respond to security incidents.

Lesson 3 • Access Control and Authentication

Explains mechanisms for controlling who can view or modify clinical data. Students evaluate access control models for clinical appropriateness.

Lesson 4 • Risk Assessment and Compliance Auditing

Teaches structured approaches to identifying and mitigating information security risks. Students conduct a basic risk assessment using a standard methodology.

Lesson 1 • Designing Effective CDS Rules

Covers principles for building CDS logic that is clinically valid and actionable. Students draft rule specifications using structured templates.

Lesson 2 • CDS Implementation and Governance

Addresses the organisational processes required to deploy and maintain CDS tools. Connects governance structures to sustained clinical benefit.

Lesson 3 • Evaluating CDS Effectiveness

Provides metrics and methods for measuring whether CDS tools achieve intended outcomes. Students design a basic CDS evaluation plan.

Lesson 1 • Descriptive and Inferential Statistics

Teaches statistical concepts nurses need to interpret research and operational reports. Students apply measures of central tendency and basic hypothesis testing.

Lesson 2 • Data Visualisation Techniques

Introduces principles and tools for presenting health data clearly to diverse audiences. Students create dashboards and charts that support clinical decision-making.

Lesson 3 • Fundamentals of Health Data

Covers data types, collection methods, and quality dimensions critical to valid analysis. Establishes the data literacy foundation for all analytic work.

Lesson 4 • Predictive Analytics in Nursing

Introduces predictive modelling concepts and their clinical applications in nursing. Students evaluate model outputs and understand their limitations.

Lesson 1 • Patient Safety Informatics Concepts

Links informatics capabilities to established patient safety frameworks and goals. Provides the conceptual bridge between data systems and harm reduction.

Lesson 2 • Surveillance and Early Warning Systems

Covers automated surveillance tools that detect deteriorating patients or infection trends. Students configure basic surveillance parameters and interpret alerts.

Lesson 3 • Quality Metrics and Reporting

Teaches how to extract, validate, and report quality metrics from clinical systems. Students build a quality dashboard aligned with regulatory reporting requirements.

Lesson 4 • Designing Safety Improvement Interventions

Guides students through designing informatics-based interventions to address identified safety gaps. Integrates CDS, analytics, and workflow redesign into a unified approach.

Lesson 1 • Change Management and Adoption

Applies change management theory to technology adoption in clinical environments. Students develop a stakeholder communication and training plan.

Lesson 2 • Informatics Governance and Leadership

Examines governance structures that guide informatics strategy and resource allocation. Students map stakeholder relationships and decision-making authority.

Lesson 3 • Emerging Trends and Future Strategy

Surveys transformative technologies reshaping nursing informatics strategy. Students assess readiness and develop an adoption roadmap for one emerging technology.

Lesson 4 • Strategic Planning and ROI

Teaches how to build a business case and measure return on investment for informatics projects. Students draft a strategic proposal with financial and outcome justifications.