NR599 MIDTERM STUDY GUIDE: INFORMATICS 2026
VERSION | Chamberlain College of Nursing | Comprehensive
Review for Exam Success | Pass Guaranteed - A+ Graded
How to Use This Study Guide
This comprehensive study guide is designed to help you master the NR599 Nursing
Informatics midterm exam. Each section builds upon previous knowledge, moving from
foundational concepts to advanced applications. Focus on the "Remember This" boxes
for high-yield information and practice the application questions to strengthen critical
thinking skills.
Section 1: Foundations and Theories of Nursing Informatics
Key Concepts:
● Definition of Nursing Informatics: The specialty that integrates nursing science
with multiple information management and analytical sciences to identify, define,
manage, and communicate data, information, knowledge, and wisdom in nursing
practice (ANA, 2021)
● Core Components: Data → Information → Knowledge → Wisdom (DIKW
Framework)
○ Data: Raw, unprocessed facts (e.g., heart rate 72)
○ Information: Data with context and meaning (e.g., heart rate 72 bpm in
resting adult)
○ Knowledge: Information synthesized to identify relationships (e.g., normal
resting HR indicates adequate perfusion)
○ Wisdom: Application of knowledge to make appropriate decisions (e.g.,
recognizing when to intervene based on trends)
● TIGER Initiative (Technology Informatics Guiding Education Reform):
, ○ Launched 2004 to enable practicing nurses and nursing students to fully
engage in the digital era of healthcare
○ Three pillars: Informatics competencies, Education reform, and Policy
development
○ TIGER Vision: "To enable nurses to use informatics and emerging
technologies to make healthcare safer, more effective, efficient,
patient-centered, timely, and equitable"
● Foundation Theories:
○ Benner's Novice to Expert: Stages of skill acquisition (novice, advanced
beginner, competent, proficient, expert) applied to informatics competency
development
○ Rogers' Diffusion of Innovations: How new technologies spread through
healthcare organizations (innovators, early adopters, early majority, late
majority, laggards)
○ Lewin's Change Theory: Unfreeze → Change → Refreeze model for
implementing informatics solutions
○ Poe's Law of Irrelevant Information: Too much data can obscure important
information
● Nursing Informatics Competencies (QSEN & TIGER):
○ Basic computer literacy
○ Information literacy
○ Clinical information management
○ Professional/personal development
Remember This:
The DIKW Framework is fundamental to nursing informatics. On exams, you must
distinguish between raw data (just numbers), information (numbers with meaning),
knowledge (patterns recognized), and wisdom (clinical judgment applied). TIGER is
specifically about nursing informatics education reform, not general healthcare IT.
Exam Tip:
When encountering questions about competency levels, remember that Benner's Novice
to Expert applies to informatics skill development just as it does to clinical skills. A
,"novice" informatics nurse needs rules and guidelines, while an "expert" recognizes
patterns intuitively.
Section 2: Information Systems and Technology in Healthcare
Key Concepts:
● Electronic Health Record (EHR) vs. Electronic Medical Record (EMR):
● Table
●
Feature EMR EHR
Single
Multiple organizations,
Scope practice/organizati
interoperable
on
Data sharing Limited internal Cross-organizational
Robust patient portal
Patient access Limited
capabilities
Longitudinal record No Yes - lifetime health journey
, Meaningful Use
Partial Full compliance required
requirements
●
EHR Components:
1. CPOE (Computerized Provider Order Entry): Direct entry of medical orders
by authorized providers
2. Clinical Documentation: Structured (templates, drop-downs) vs.
Unstructured (free text, narrative)
3. Medication Administration Records (MAR): Electronic tracking with
barcode verification
4. Results Management: Lab, radiology, pathology integration
5. Decision Support: Alerts, reminders, clinical guidelines
● Clinical Decision Support Systems (CDS):
1. Knowledge-based CDS: Rules engine (IF-THEN logic), evidence-based
guidelines
2. Non-knowledge-based CDS: Machine learning, AI, pattern recognition
without explicit programming
3. Types: Alerts (drug-drug interactions), Reminders (preventive care), Order
sets (standardized protocols), Diagnostic support (differential diagnoses)
● Nursing Information Systems (NIS):
1. Integrated with EHR but nursing-specific
2. Care planning, nursing diagnoses, interventions, outcomes
3. Acuity systems and staffing management
4. Quality metrics and nursing-sensitive indicators
● System Development Life Cycle (SDLC):
1. Planning/Analysis (needs assessment)
2. Design (system specifications)
3. Implementation (go-live, training)
4. Maintenance (updates, fixes)
5. Evaluation (outcomes assessment)
Remember This:
CPOE is a requirement for Meaningful Use Stage 1, but it must include clinical decision
support to be fully effective. The IOM (Institute of Medicine) recommends CPOE with
VERSION | Chamberlain College of Nursing | Comprehensive
Review for Exam Success | Pass Guaranteed - A+ Graded
How to Use This Study Guide
This comprehensive study guide is designed to help you master the NR599 Nursing
Informatics midterm exam. Each section builds upon previous knowledge, moving from
foundational concepts to advanced applications. Focus on the "Remember This" boxes
for high-yield information and practice the application questions to strengthen critical
thinking skills.
Section 1: Foundations and Theories of Nursing Informatics
Key Concepts:
● Definition of Nursing Informatics: The specialty that integrates nursing science
with multiple information management and analytical sciences to identify, define,
manage, and communicate data, information, knowledge, and wisdom in nursing
practice (ANA, 2021)
● Core Components: Data → Information → Knowledge → Wisdom (DIKW
Framework)
○ Data: Raw, unprocessed facts (e.g., heart rate 72)
○ Information: Data with context and meaning (e.g., heart rate 72 bpm in
resting adult)
○ Knowledge: Information synthesized to identify relationships (e.g., normal
resting HR indicates adequate perfusion)
○ Wisdom: Application of knowledge to make appropriate decisions (e.g.,
recognizing when to intervene based on trends)
● TIGER Initiative (Technology Informatics Guiding Education Reform):
, ○ Launched 2004 to enable practicing nurses and nursing students to fully
engage in the digital era of healthcare
○ Three pillars: Informatics competencies, Education reform, and Policy
development
○ TIGER Vision: "To enable nurses to use informatics and emerging
technologies to make healthcare safer, more effective, efficient,
patient-centered, timely, and equitable"
● Foundation Theories:
○ Benner's Novice to Expert: Stages of skill acquisition (novice, advanced
beginner, competent, proficient, expert) applied to informatics competency
development
○ Rogers' Diffusion of Innovations: How new technologies spread through
healthcare organizations (innovators, early adopters, early majority, late
majority, laggards)
○ Lewin's Change Theory: Unfreeze → Change → Refreeze model for
implementing informatics solutions
○ Poe's Law of Irrelevant Information: Too much data can obscure important
information
● Nursing Informatics Competencies (QSEN & TIGER):
○ Basic computer literacy
○ Information literacy
○ Clinical information management
○ Professional/personal development
Remember This:
The DIKW Framework is fundamental to nursing informatics. On exams, you must
distinguish between raw data (just numbers), information (numbers with meaning),
knowledge (patterns recognized), and wisdom (clinical judgment applied). TIGER is
specifically about nursing informatics education reform, not general healthcare IT.
Exam Tip:
When encountering questions about competency levels, remember that Benner's Novice
to Expert applies to informatics skill development just as it does to clinical skills. A
,"novice" informatics nurse needs rules and guidelines, while an "expert" recognizes
patterns intuitively.
Section 2: Information Systems and Technology in Healthcare
Key Concepts:
● Electronic Health Record (EHR) vs. Electronic Medical Record (EMR):
● Table
●
Feature EMR EHR
Single
Multiple organizations,
Scope practice/organizati
interoperable
on
Data sharing Limited internal Cross-organizational
Robust patient portal
Patient access Limited
capabilities
Longitudinal record No Yes - lifetime health journey
, Meaningful Use
Partial Full compliance required
requirements
●
EHR Components:
1. CPOE (Computerized Provider Order Entry): Direct entry of medical orders
by authorized providers
2. Clinical Documentation: Structured (templates, drop-downs) vs.
Unstructured (free text, narrative)
3. Medication Administration Records (MAR): Electronic tracking with
barcode verification
4. Results Management: Lab, radiology, pathology integration
5. Decision Support: Alerts, reminders, clinical guidelines
● Clinical Decision Support Systems (CDS):
1. Knowledge-based CDS: Rules engine (IF-THEN logic), evidence-based
guidelines
2. Non-knowledge-based CDS: Machine learning, AI, pattern recognition
without explicit programming
3. Types: Alerts (drug-drug interactions), Reminders (preventive care), Order
sets (standardized protocols), Diagnostic support (differential diagnoses)
● Nursing Information Systems (NIS):
1. Integrated with EHR but nursing-specific
2. Care planning, nursing diagnoses, interventions, outcomes
3. Acuity systems and staffing management
4. Quality metrics and nursing-sensitive indicators
● System Development Life Cycle (SDLC):
1. Planning/Analysis (needs assessment)
2. Design (system specifications)
3. Implementation (go-live, training)
4. Maintenance (updates, fixes)
5. Evaluation (outcomes assessment)
Remember This:
CPOE is a requirement for Meaningful Use Stage 1, but it must include clinical decision
support to be fully effective. The IOM (Institute of Medicine) recommends CPOE with
